As a Full Stack Python Engineer, you'll be building scalable, high-impact systems in one of London's most collaborative and technically strong engineering environments. This is a role where your work genuinely matters - shaping solutions in a fast-moving energy business that values clean code, smart thinking, and continuous improvement. What's in it for you Hybrid working - 2 days per week onsite in Canary Wharf, 3 days from home Annual bonus on top of a strong base salary Free breakfast and a genuinely people-first culture Training, development, and ongoing learning support Cycling scheme, pension, and regular team events A highly collaborative, technically strong engineering team Your responsibilities as Full Stack Python Engineer Design and build scalable backend-heavy applications aligned with architectural standards Develop and maintain reliable services using Python and modern web frameworks Contribute to frontend components using TypeScript and JavaScript Collaborate with Product, QA, and DevOps to deliver high-quality features Lead code reviews and contribute to technical and architectural decisions Identify and resolve performance and scalability challenges What we're looking for in a Full Stack Python Engineer Strong experience with Python and web frameworks such as Django Experience working with JavaScript and TypeScript in modern applications Exposure to cloud platforms such as AWS, Azure, or GCP Experience with CI/CD pipelines and modern development practices Understanding of scalable system design and secure architecture If you're a Full Stack Python Engineer ready to step into a high-impact role with a top-tier engineering team, apply now and be part of something genuinely exciting.Candidate Source Ltd is an advertising agency. Once you have submitted your application it will be passed to the third party Recruiter who is responsible for processing your application. This will include holding and sharing your personal data, our legal basis for this is legitimate interest subject to your declared interest in a job. Our privacy policy can be found on our website and we can be contacted to confirm who your application has been forwarded to.
Mar 26, 2026
Full time
As a Full Stack Python Engineer, you'll be building scalable, high-impact systems in one of London's most collaborative and technically strong engineering environments. This is a role where your work genuinely matters - shaping solutions in a fast-moving energy business that values clean code, smart thinking, and continuous improvement. What's in it for you Hybrid working - 2 days per week onsite in Canary Wharf, 3 days from home Annual bonus on top of a strong base salary Free breakfast and a genuinely people-first culture Training, development, and ongoing learning support Cycling scheme, pension, and regular team events A highly collaborative, technically strong engineering team Your responsibilities as Full Stack Python Engineer Design and build scalable backend-heavy applications aligned with architectural standards Develop and maintain reliable services using Python and modern web frameworks Contribute to frontend components using TypeScript and JavaScript Collaborate with Product, QA, and DevOps to deliver high-quality features Lead code reviews and contribute to technical and architectural decisions Identify and resolve performance and scalability challenges What we're looking for in a Full Stack Python Engineer Strong experience with Python and web frameworks such as Django Experience working with JavaScript and TypeScript in modern applications Exposure to cloud platforms such as AWS, Azure, or GCP Experience with CI/CD pipelines and modern development practices Understanding of scalable system design and secure architecture If you're a Full Stack Python Engineer ready to step into a high-impact role with a top-tier engineering team, apply now and be part of something genuinely exciting.Candidate Source Ltd is an advertising agency. Once you have submitted your application it will be passed to the third party Recruiter who is responsible for processing your application. This will include holding and sharing your personal data, our legal basis for this is legitimate interest subject to your declared interest in a job. Our privacy policy can be found on our website and we can be contacted to confirm who your application has been forwarded to.
Job Description We're looking for a talented and passionate Core Data Engineer to join our Group Technology team in Milton Keynes. You'll play a key role in delivering Connells Group Reporting Data, covering architecture, data modelling, design, and pipelines. You'll work closely with technical specialists to innovate, share ideas and continually enhance team capability. Your work will support strategic decision-making across the Group by delivering accurate, timely reporting for all brands and business units.We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office. Key Responsibilities Apply best practices for data design, ensuring scalable, high-quality and consistent architecture and modelling. Provide timely and accurate root-cause analysis and resolution within SLA timeframes. Work with the Core Data Lead to build a unified team work plan aligned with business objectives and data initiatives. Collaborate with Reporting Engineers to define, develop and enhance the Common Data Model. Team Roles & Responsibilities Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security. Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation-wide consistency. Apply Agile principles for iterative and collaborative development. Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation. Support cross-functional data projects, providing expertise as required. Deliver data solutions that support project goals and business outcomes. Proactively monitor systems and pipelines, identifying issues early and responding promptly to minimise disruption. Experience & Skills Required Proven experience in Data Engineering, with strong hands-on experience in Python, Data Modelling, Data Warehousing. Strong background in incident resolution, requests, changes and problem-solving within SLAs. Hands-on experience with Spark, Data Architecture, SQL and Delta Lake. Cloud development experience (AWS, GCP or Azure). Working knowledge of Medallion Architecture. Demonstrated capability in implementing and supporting pipelines in demanding environments. Strong communication skills and confidence presenting ideas and technical approaches. Willingness to learn, adopt and improve best practices and standards. Ability to work effectively in complex, high-pressure environments using both legacy and modern technologies. Strong analytical thinking and attention to detail. Desirable Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions. Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture. Experience with development lifecycle processes for data pipelines. STEM degree (Computer Science, Mathematics, Engineering, Physics) or equivalent practical experience. Please note that we are unfortunately unable to provide visa sponsorship for this position. Applicants must have the right to work in the UK.Connells Group UK is an equal opportunities employer and encourages applications from suitably qualified candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.CF00810
Mar 25, 2026
Full time
Job Description We're looking for a talented and passionate Core Data Engineer to join our Group Technology team in Milton Keynes. You'll play a key role in delivering Connells Group Reporting Data, covering architecture, data modelling, design, and pipelines. You'll work closely with technical specialists to innovate, share ideas and continually enhance team capability. Your work will support strategic decision-making across the Group by delivering accurate, timely reporting for all brands and business units.We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office. Key Responsibilities Apply best practices for data design, ensuring scalable, high-quality and consistent architecture and modelling. Provide timely and accurate root-cause analysis and resolution within SLA timeframes. Work with the Core Data Lead to build a unified team work plan aligned with business objectives and data initiatives. Collaborate with Reporting Engineers to define, develop and enhance the Common Data Model. Team Roles & Responsibilities Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security. Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation-wide consistency. Apply Agile principles for iterative and collaborative development. Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation. Support cross-functional data projects, providing expertise as required. Deliver data solutions that support project goals and business outcomes. Proactively monitor systems and pipelines, identifying issues early and responding promptly to minimise disruption. Experience & Skills Required Proven experience in Data Engineering, with strong hands-on experience in Python, Data Modelling, Data Warehousing. Strong background in incident resolution, requests, changes and problem-solving within SLAs. Hands-on experience with Spark, Data Architecture, SQL and Delta Lake. Cloud development experience (AWS, GCP or Azure). Working knowledge of Medallion Architecture. Demonstrated capability in implementing and supporting pipelines in demanding environments. Strong communication skills and confidence presenting ideas and technical approaches. Willingness to learn, adopt and improve best practices and standards. Ability to work effectively in complex, high-pressure environments using both legacy and modern technologies. Strong analytical thinking and attention to detail. Desirable Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions. Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture. Experience with development lifecycle processes for data pipelines. STEM degree (Computer Science, Mathematics, Engineering, Physics) or equivalent practical experience. Please note that we are unfortunately unable to provide visa sponsorship for this position. Applicants must have the right to work in the UK.Connells Group UK is an equal opportunities employer and encourages applications from suitably qualified candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.CF00810
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Mar 25, 2026
Full time
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Principle Java Engineer • Salary to £70k + Company Options Scheme • Hybrid working between your home, their offices (London Vauxhall) & client sites. NB: Please only apply if you are a UK National and able to achieve SC (ideally DV) clearance i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They're growing fast and looking for bright, dynamic people to help build their business. Role They're looking for an experienced (Principle/Team Lead) Java Engineer to join their implementation team. You'll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration - helping their public-sector clients build secure, scalable, and resilient digital services. You'll collaborate with solution architects, business analysts, and designers to translate workflows into elegant, maintainable code. You'll play a key part in defining technical standards, optimising runtime performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London. Responsibilities Design, develop, and deploy Camunda-based process and decision automation solutions Implement and integrate Java-based microservices, APIs, and connectors within orchestration flows Translate BPMN and DMN models into executable workflows and reusable components Collaborate closely with analysts and service designers to refine and iterate business processes Develop and maintain automated test suites, CI/CD pipelines, and containerised deployments Optimise Camunda engine performance and monitor workflow metrics for production environments Participate in code reviews, peer testing, and technical design discussions Contribute to their internal best-practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Strong experience in Java software engineering and object-oriented design Strong Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and Camunda tooling Some exposure to process automation or microservice orchestration Desirable Experience with Camunda 8 (Zeebe) clusters and Operate/Tasklist components Experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) Other Stuff NB: Please only apply if you are a UK National and able to achieve SC or DV clearance. i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment
Mar 25, 2026
Full time
Principle Java Engineer • Salary to £70k + Company Options Scheme • Hybrid working between your home, their offices (London Vauxhall) & client sites. NB: Please only apply if you are a UK National and able to achieve SC (ideally DV) clearance i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They're growing fast and looking for bright, dynamic people to help build their business. Role They're looking for an experienced (Principle/Team Lead) Java Engineer to join their implementation team. You'll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration - helping their public-sector clients build secure, scalable, and resilient digital services. You'll collaborate with solution architects, business analysts, and designers to translate workflows into elegant, maintainable code. You'll play a key part in defining technical standards, optimising runtime performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London. Responsibilities Design, develop, and deploy Camunda-based process and decision automation solutions Implement and integrate Java-based microservices, APIs, and connectors within orchestration flows Translate BPMN and DMN models into executable workflows and reusable components Collaborate closely with analysts and service designers to refine and iterate business processes Develop and maintain automated test suites, CI/CD pipelines, and containerised deployments Optimise Camunda engine performance and monitor workflow metrics for production environments Participate in code reviews, peer testing, and technical design discussions Contribute to their internal best-practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Strong experience in Java software engineering and object-oriented design Strong Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and Camunda tooling Some exposure to process automation or microservice orchestration Desirable Experience with Camunda 8 (Zeebe) clusters and Operate/Tasklist components Experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) Other Stuff NB: Please only apply if you are a UK National and able to achieve SC or DV clearance. i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment
The CompanyLocation: Northeast or LondonType: Permanent HybridNigel Wright Tech are delighted to be partnering with a large B2C service organisation in their search for a Data Architect. You will be responsible for defining and maintaining the overall data architecture strategy that enables the company's BI and self-serve analytics capabilities. The role will establish the technical vision, standards and frameworks that enable scalable, efficient and secure data solutions across the organisation. The RoleKey responsibilities: Conduct comprehensive assessment of existing architectures across existing data infrastructure Define and maintain the enterprise data architecture vision and roadmap, ensuring alignment with business objectives and the BI product strategy Establish architectural patterns and frameworks (such as Medallion architecture, data vault or dimensional modelling) for consistent implementation across data solutions Define and document standard business entities, metrics and KPIs to ensure consistency across reporting Work with Group BI and Data Director to define strategy and frameworks Facilitate architecture discussions and workshops with technical and non-technical stakeholders The RequirementsThis is an exciting role, whereby you will have strategic input and the opportunity to work on major greenfield projects across the organisations data estate. Key requirements include: Extensive experience in data architecture, with proven track record of designing and implementing enterprise-scale data solutions Deep expertise in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT Experience with data governance frameworks, data quality tools and ensuring compliance with security and regulatory requirements Strong business acumen with ability to translate business requirements into technical architecture and understand how data enables business outcomes
Mar 25, 2026
Full time
The CompanyLocation: Northeast or LondonType: Permanent HybridNigel Wright Tech are delighted to be partnering with a large B2C service organisation in their search for a Data Architect. You will be responsible for defining and maintaining the overall data architecture strategy that enables the company's BI and self-serve analytics capabilities. The role will establish the technical vision, standards and frameworks that enable scalable, efficient and secure data solutions across the organisation. The RoleKey responsibilities: Conduct comprehensive assessment of existing architectures across existing data infrastructure Define and maintain the enterprise data architecture vision and roadmap, ensuring alignment with business objectives and the BI product strategy Establish architectural patterns and frameworks (such as Medallion architecture, data vault or dimensional modelling) for consistent implementation across data solutions Define and document standard business entities, metrics and KPIs to ensure consistency across reporting Work with Group BI and Data Director to define strategy and frameworks Facilitate architecture discussions and workshops with technical and non-technical stakeholders The RequirementsThis is an exciting role, whereby you will have strategic input and the opportunity to work on major greenfield projects across the organisations data estate. Key requirements include: Extensive experience in data architecture, with proven track record of designing and implementing enterprise-scale data solutions Deep expertise in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT Experience with data governance frameworks, data quality tools and ensuring compliance with security and regulatory requirements Strong business acumen with ability to translate business requirements into technical architecture and understand how data enables business outcomes
Location : Hybrid - UK Contract Type: Permanent Hours : Full time Salary : Competitive COMPANY OVERVIEW MOBKOI is a fast-growing mobile company headquartered in London, with offices across central Europe, US and Asia. We use the latest in mobile ad technology to help premium brands effectively reach and engage with their clients' audiences.Bringing to market the most selective site list of premium global and local publishers enabling brands to be selective of where their ads are going to run and thus ensuring brand safety. MOBKOI prides itself on offering full transparency, bespoke creative builds and local market coordination. We are part of The Brandtech Group, formerly known as You & Mr Jones, working with partners developing the best technology across the globe. ROLE OVERVIEW As a Backend Software Engineer (Junior-Mid Level) - Programmatic, you will contribute to the development and evolution of MOBKOI's programmatic advertising platform. You will work closely with experienced engineers on backend systems that power real-time bidding (RTB), campaign delivery, and large-scale integrations with SSPs and DSPs.This role is well suited to engineers early in their career who want to deepen their expertise in distributed systems, low-latency services, and cloud-based infrastructure, while gaining exposure to the programmatic advertising ecosystem. You will be supported through mentorship, code reviews, and progressive ownership of backend components. RESPONSIBILITIES • Contribute to the development and improvement of MOBKOI's programmatic backend systems, including components of the real-time bidding (RTB) pipeline.• Support the design and implementation of scalable, reliable, and high-performance services handling large volumes of traffic.• Work alongside senior engineers to help evolve system architecture while balancing performance, cost efficiency, and reliability.• Assist in monitoring system performance and contribute to initiatives that optimise infrastructure usage and operational cost.• Participate in diagnosing and resolving issues related to distributed systems, including latency, availability, and scaling challenges.• Implement backend components following best practices in fault tolerance, load balancing, and resilient design.• Develop an understanding of the programmatic advertising ecosystem, including SSPs, DSPs, bidding flows, and ad exchanges.• Contribute to discussions around technology selection, tooling, and build-vs-buy decisions.• Collaborate with product, data, and business teams to ensure technical solutions align with business needs.• Actively participate in code reviews, technical discussions, and continuous improvement initiatives. KEY SKILLS & COMPETENCIES • Experience in backend software development, gained through a first professional role, internship, or apprenticeship.• Solid engineering fundamentals with Go (or another backend language with a strong willingness to learn Go).• Interest in or exposure to distributed systems and high-traffic environments.• Understanding of core concepts around scalability, reliability, and high availability.• Familiarity with cloud platforms such as AWS or GCP.• Awareness of cost-efficient engineering practices and infrastructure optimisation.• Curiosity about the programmatic advertising landscape and how technical systems support business outcomes.• Strong collaboration skills and the ability to communicate clearly within a cross-functional team. BEHAVIOURS This role operates in a fast-moving, high-standards environment and requires someone who is motivated to learn, take ownership, and deliver quality work. The role holder is expected to manage their time effectively, adapt to change, and contribute positively to team and business outcomes.The role offers autonomy and is suited to someone who is comfortable balancing independent work with cross-functional collaboration. What we're looking for: • Motivation to contribute to the growth and success of the business• A proactive, adaptable mindset with the ability to learn quickly• Strong ownership and accountability for outcomes• Clear and professional communication with a range of stakeholdersYou may also have experience in the following: Backend Software Engineer, Junior Backend Engineer, Mid-Level Backend Developer, Go Developer (Golang Engineer), Software Engineer - Backend, Programmatic Engineer, AdTech Engineer, RTB Engineer (Real-Time Bidding Engineer), Distributed Systems Engineer, Cloud Backend Engineer (AWS / GCP), Platform Engineer - AdTech, API Developer (Backend), High-Performance Systems Engineer, Programmatic Advertising Developer, Software Engineer - AdTechREF-
Mar 25, 2026
Full time
Location : Hybrid - UK Contract Type: Permanent Hours : Full time Salary : Competitive COMPANY OVERVIEW MOBKOI is a fast-growing mobile company headquartered in London, with offices across central Europe, US and Asia. We use the latest in mobile ad technology to help premium brands effectively reach and engage with their clients' audiences.Bringing to market the most selective site list of premium global and local publishers enabling brands to be selective of where their ads are going to run and thus ensuring brand safety. MOBKOI prides itself on offering full transparency, bespoke creative builds and local market coordination. We are part of The Brandtech Group, formerly known as You & Mr Jones, working with partners developing the best technology across the globe. ROLE OVERVIEW As a Backend Software Engineer (Junior-Mid Level) - Programmatic, you will contribute to the development and evolution of MOBKOI's programmatic advertising platform. You will work closely with experienced engineers on backend systems that power real-time bidding (RTB), campaign delivery, and large-scale integrations with SSPs and DSPs.This role is well suited to engineers early in their career who want to deepen their expertise in distributed systems, low-latency services, and cloud-based infrastructure, while gaining exposure to the programmatic advertising ecosystem. You will be supported through mentorship, code reviews, and progressive ownership of backend components. RESPONSIBILITIES • Contribute to the development and improvement of MOBKOI's programmatic backend systems, including components of the real-time bidding (RTB) pipeline.• Support the design and implementation of scalable, reliable, and high-performance services handling large volumes of traffic.• Work alongside senior engineers to help evolve system architecture while balancing performance, cost efficiency, and reliability.• Assist in monitoring system performance and contribute to initiatives that optimise infrastructure usage and operational cost.• Participate in diagnosing and resolving issues related to distributed systems, including latency, availability, and scaling challenges.• Implement backend components following best practices in fault tolerance, load balancing, and resilient design.• Develop an understanding of the programmatic advertising ecosystem, including SSPs, DSPs, bidding flows, and ad exchanges.• Contribute to discussions around technology selection, tooling, and build-vs-buy decisions.• Collaborate with product, data, and business teams to ensure technical solutions align with business needs.• Actively participate in code reviews, technical discussions, and continuous improvement initiatives. KEY SKILLS & COMPETENCIES • Experience in backend software development, gained through a first professional role, internship, or apprenticeship.• Solid engineering fundamentals with Go (or another backend language with a strong willingness to learn Go).• Interest in or exposure to distributed systems and high-traffic environments.• Understanding of core concepts around scalability, reliability, and high availability.• Familiarity with cloud platforms such as AWS or GCP.• Awareness of cost-efficient engineering practices and infrastructure optimisation.• Curiosity about the programmatic advertising landscape and how technical systems support business outcomes.• Strong collaboration skills and the ability to communicate clearly within a cross-functional team. BEHAVIOURS This role operates in a fast-moving, high-standards environment and requires someone who is motivated to learn, take ownership, and deliver quality work. The role holder is expected to manage their time effectively, adapt to change, and contribute positively to team and business outcomes.The role offers autonomy and is suited to someone who is comfortable balancing independent work with cross-functional collaboration. What we're looking for: • Motivation to contribute to the growth and success of the business• A proactive, adaptable mindset with the ability to learn quickly• Strong ownership and accountability for outcomes• Clear and professional communication with a range of stakeholdersYou may also have experience in the following: Backend Software Engineer, Junior Backend Engineer, Mid-Level Backend Developer, Go Developer (Golang Engineer), Software Engineer - Backend, Programmatic Engineer, AdTech Engineer, RTB Engineer (Real-Time Bidding Engineer), Distributed Systems Engineer, Cloud Backend Engineer (AWS / GCP), Platform Engineer - AdTech, API Developer (Backend), High-Performance Systems Engineer, Programmatic Advertising Developer, Software Engineer - AdTechREF-
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Mar 25, 2026
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Senior Data Analyst/Scientist - Power BI - sought by investment bank based in London - Contract - Hybrid inside IR35 - umbrella Essential: Proven experience in a Data Analysis or Science Strong understanding of front-office trading , risk , or market data (not back-office finance or regulatory reporting). Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with BI tools such as Power BI, Tableau, or Qlik. Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures. Desirable: Background in financial services, particularly within investment banking or asset management. Experience working with time-series data and real-time data processing. Knowledge of risk metrics (VaR, Greeks, PnL attribution) and trading instruments (equities, derivatives, FX, etc.) Please apply within for further details - Matt Holmes, Harvey Nash Always use these settings
Mar 25, 2026
Contractor
Senior Data Analyst/Scientist - Power BI - sought by investment bank based in London - Contract - Hybrid inside IR35 - umbrella Essential: Proven experience in a Data Analysis or Science Strong understanding of front-office trading , risk , or market data (not back-office finance or regulatory reporting). Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with BI tools such as Power BI, Tableau, or Qlik. Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures. Desirable: Background in financial services, particularly within investment banking or asset management. Experience working with time-series data and real-time data processing. Knowledge of risk metrics (VaR, Greeks, PnL attribution) and trading instruments (equities, derivatives, FX, etc.) Please apply within for further details - Matt Holmes, Harvey Nash Always use these settings
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Mar 25, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Role Summary As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. Working at the highest levels, you will engage AI, Technology and Business leaders in the world's most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives. This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients What you'll do Multi-Agent Architecture Patterns : Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases. Memory System Design : Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration : Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits. GenAIOps & Observability : Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost. Safety, Security & Governance : Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability : Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance. Technical Leadership & Client Advisory : Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership. Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry. Core Qualifications (The Bar) • Enterprise Experience : 8-10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture. • Cloud Expertise : Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other. • GenAI & LLM Depth : Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). • RAG & Orchestration : Proven experience designing complex RAG pipelines. • Model Fine-tuning : Experience with instruction tuning or fine-tuning strategies for LLMs. • Leadership & Advisory Skills : Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance. Preferred Qualifications (The Differentiators) Multi-Agent Systems : Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents). Multi-Cloud Experience : hands-on architectural expertise across all three major clouds (Azure, AWS, GCP). GenAI Ops & Governance : Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing Framework Expertise : Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Thought Leadership & Open Source : Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects. Certifications : Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect).
Mar 25, 2026
Full time
Role Summary As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. Working at the highest levels, you will engage AI, Technology and Business leaders in the world's most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives. This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients What you'll do Multi-Agent Architecture Patterns : Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases. Memory System Design : Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration : Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits. GenAIOps & Observability : Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost. Safety, Security & Governance : Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability : Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance. Technical Leadership & Client Advisory : Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership. Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry. Core Qualifications (The Bar) • Enterprise Experience : 8-10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture. • Cloud Expertise : Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other. • GenAI & LLM Depth : Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). • RAG & Orchestration : Proven experience designing complex RAG pipelines. • Model Fine-tuning : Experience with instruction tuning or fine-tuning strategies for LLMs. • Leadership & Advisory Skills : Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance. Preferred Qualifications (The Differentiators) Multi-Agent Systems : Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents). Multi-Cloud Experience : hands-on architectural expertise across all three major clouds (Azure, AWS, GCP). GenAI Ops & Governance : Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing Framework Expertise : Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). Thought Leadership & Open Source : Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects. Certifications : Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect).
Harnham - Data & Analytics Recruitment
Sheffield, Yorkshire
Lead AI Engineer £80,000 - £90,000 Sheffield (Hybrid, 1-2 days a week) A rare opportunity to step into a Lead level role where you will shape a new AI function and play a direct role in transforming how a digital insurer operates. You will build production grade AI systems, influence architecture, and drive agentic automation with a clear path to impact and visibility. THE COMPANY They are a technology driven insurance provider specialising in complex and non-standard home risks. Their model blends advanced AI capability with digital platforms to deliver a faster, smarter customer experience. You would be one of the first hires into this team, joining at a genuinely pivotal moment THE ROLE As a Lead AI Engineer you can expect to be involved in the following: Build production-ready AI agents on GCP using modern frameworks and Google's ADK. Develop scalable RAG pipelines spanning ingestion, text processing and vector search. Integrate AI systems into policy, claims and CRM platforms through REST and JSON APIs. Implement monitoring, evaluation, A/B testing and cost or latency dashboards. Contribute to broader AI architecture and help shape engineering patterns and strategy. Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production. SKILLS AND EXPERIENCE The successful Lead AI Engineer will have the following skills and experience: Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery. Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling. Strong Python skills and experience developing APIs and production AI systems. Hands on experience with LLMs, embeddings, RAG, vector databases and retrieval frameworks. Familiarity with LangChain, LangGraph or similar agentic frameworks. Solid engineering fundamentals including Docker, Kubernetes and CI/CD. BENEFITS The successful Lead AI Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience Hybrid working with 1-2 office days in Sheffield. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Mar 25, 2026
Full time
Lead AI Engineer £80,000 - £90,000 Sheffield (Hybrid, 1-2 days a week) A rare opportunity to step into a Lead level role where you will shape a new AI function and play a direct role in transforming how a digital insurer operates. You will build production grade AI systems, influence architecture, and drive agentic automation with a clear path to impact and visibility. THE COMPANY They are a technology driven insurance provider specialising in complex and non-standard home risks. Their model blends advanced AI capability with digital platforms to deliver a faster, smarter customer experience. You would be one of the first hires into this team, joining at a genuinely pivotal moment THE ROLE As a Lead AI Engineer you can expect to be involved in the following: Build production-ready AI agents on GCP using modern frameworks and Google's ADK. Develop scalable RAG pipelines spanning ingestion, text processing and vector search. Integrate AI systems into policy, claims and CRM platforms through REST and JSON APIs. Implement monitoring, evaluation, A/B testing and cost or latency dashboards. Contribute to broader AI architecture and help shape engineering patterns and strategy. Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production. SKILLS AND EXPERIENCE The successful Lead AI Engineer will have the following skills and experience: Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery. Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling. Strong Python skills and experience developing APIs and production AI systems. Hands on experience with LLMs, embeddings, RAG, vector databases and retrieval frameworks. Familiarity with LangChain, LangGraph or similar agentic frameworks. Solid engineering fundamentals including Docker, Kubernetes and CI/CD. BENEFITS The successful Lead AI Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience Hybrid working with 1-2 office days in Sheffield. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Mar 25, 2026
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Lead GCP Data Engineer New Malden (Hybrid, approx. 4 days per month onsite) £85,000 to £90,000 plus up to 30 percent bonus This is an opportunity to take ownership of a brand-new GCP data platform and shape the engineering standards from the ground up. You will join a growing data function at a pivotal moment, playing a key role in a major cloud migration while influencing best practice across the team. The Company They are a technology-driven organisation within the insurance space, focused on making data-led decisions and building modern, scalable systems. Their mission is centred around delivering fast, accurate and accessible insurance experiences for a wide range of customers. With strong investment and a clear roadmap, they continue to enhance their predictive capabilities and data platform maturity. The environment is collaborative, outcome-focused and built for people who enjoy autonomy and ownership. The Role As Lead GCP Data Engineer, you will Act as the in-house GCP expert, guiding design decisions and engineering standards. Lead end-to-end delivery of data products, from ingestion through to transformation and analytical layers. Build and maintain production-grade pipelines across batch and streaming workloads. Work closely with internal stakeholders to deliver reliable, high-quality datasets. Support the Azure-to-GCP migration, ensuring data sources are correctly transformed and integrated. Mentor engineers and help uplift best practice across the team. Operate within Agile ways of working, contributing to planning, ceremonies and continuous improvement. Your Skills and Experience You will need: Strong commercial experience as a Data Engineer working on production-grade pipelines. Deep hands-on experience with GCP, including BigQuery, Cloud Storage, Cloud Run, Dataflow, Cloud Composer, and streaming technologies such as Kafka. Strong capability in dbt or Dataform and familiarity with medallion architecture. Ability to design robust ingestion patterns across multiple data types. Experience with Terraform or similar IaC approaches. Clear communication skills and a value-focused engineering mindset. Experience operating within Agile teams. Nice to have: GCP certifications. Experience working in regulated environments. What They Offer £80,000 to £90,000 base salary. Up to 30 percent annual bonus. Hybrid working with only four days per month onsite. Strong pipeline of projects including a cloud migration and new platform build. Clear progression opportunities as the team scales. A positive, supportive culture with an emphasis on trust and autonomy. How to Apply If this sounds like the right next step, apply now to register your interest.
Mar 24, 2026
Full time
Lead GCP Data Engineer New Malden (Hybrid, approx. 4 days per month onsite) £85,000 to £90,000 plus up to 30 percent bonus This is an opportunity to take ownership of a brand-new GCP data platform and shape the engineering standards from the ground up. You will join a growing data function at a pivotal moment, playing a key role in a major cloud migration while influencing best practice across the team. The Company They are a technology-driven organisation within the insurance space, focused on making data-led decisions and building modern, scalable systems. Their mission is centred around delivering fast, accurate and accessible insurance experiences for a wide range of customers. With strong investment and a clear roadmap, they continue to enhance their predictive capabilities and data platform maturity. The environment is collaborative, outcome-focused and built for people who enjoy autonomy and ownership. The Role As Lead GCP Data Engineer, you will Act as the in-house GCP expert, guiding design decisions and engineering standards. Lead end-to-end delivery of data products, from ingestion through to transformation and analytical layers. Build and maintain production-grade pipelines across batch and streaming workloads. Work closely with internal stakeholders to deliver reliable, high-quality datasets. Support the Azure-to-GCP migration, ensuring data sources are correctly transformed and integrated. Mentor engineers and help uplift best practice across the team. Operate within Agile ways of working, contributing to planning, ceremonies and continuous improvement. Your Skills and Experience You will need: Strong commercial experience as a Data Engineer working on production-grade pipelines. Deep hands-on experience with GCP, including BigQuery, Cloud Storage, Cloud Run, Dataflow, Cloud Composer, and streaming technologies such as Kafka. Strong capability in dbt or Dataform and familiarity with medallion architecture. Ability to design robust ingestion patterns across multiple data types. Experience with Terraform or similar IaC approaches. Clear communication skills and a value-focused engineering mindset. Experience operating within Agile teams. Nice to have: GCP certifications. Experience working in regulated environments. What They Offer £80,000 to £90,000 base salary. Up to 30 percent annual bonus. Hybrid working with only four days per month onsite. Strong pipeline of projects including a cloud migration and new platform build. Clear progression opportunities as the team scales. A positive, supportive culture with an emphasis on trust and autonomy. How to Apply If this sounds like the right next step, apply now to register your interest.
Backend Engineer (Python, FastAPI/Flask/DjangoGPU/CUDA) Bristol (Hybrid) £55,000 - £70,000 + Benefits PermanentThe OpportunityAn innovative analytics organisation operating within the insurance and risk sector is looking for a Backend Engineer to join their growing technology team in Bristol.This company builds advanced underwriting and risk modelling platforms that combine modern software engineering, cloud infrastructure, and high-performance computing. You'll join a collaborative, highly skilled team of engineers and data scientists working on systems that directly influence real-world underwriting and portfolio decisions.This is an excellent opportunity for someone with strong Python backend experience who is excited by data-intensive systems, cloud-native architecture, and performance-driven engineering.The RoleAs a Backend Engineer, you will play a key role in developing and scaling backend services that power a next-generation risk modelling platform.You'll work closely with engineers and risk scientists to support GPU-accelerated modelling pipelines, design robust APIs, and ensure systems are reliable, performant, and production-ready.Key ResponsibilitiesDevelop and maintain backend services in Python using modern frameworks (e.g. FastAPI)Design and implement REST APIs for internal platforms and third-party integrationsCollaborate with scientists to support a GPU-accelerated risk modelling engineOptimise backend services for scalability, performance, and reliabilityIntegrate with underwriting, analytics, and portfolio systemsSupport cloud-native deployments (GCP environment)Write clean, well-tested, well-documented code following best engineering practicesWork in a cross-functional team alongside engineers, data scientists, and domain specialistsAbout YouEssential:3-5 years' professional backend engineering experience with PythonStrong experience with FastAPI (or similar modern Python frameworks)Experience with relational databases (e.g. PostgreSQL) and ORMs such as SQLAlchemyExperience working in cloud environments (GCP preferred)Solid understanding of testing, CI/CD, Git workflows, and clean code principlesStrong communication skills and a collaborative mindsetDegree in Computer Science or related technical disciplineDesirable:Exposure to GPU computing or acceleration frameworks (e.g. CUDA, CuPy, Numba)Experience with Terraform or infrastructure-as-code toolingFamiliarity with Kubernetes or other cloud orchestration platformsInterest in high-performance or numerical computingExperience within insurance, finance, or analytics-driven environmentsWhy Apply?Work on technically challenging, real-world modelling systemsCollaborate with highly skilled engineers and scientistsExposure to GPU acceleration and performance engineeringCompetitive salary (£55k-£70k)Hybrid working model (Bristol-based team)Opportunity to influence and shape a growing platformIf you're a Python backend engineer looking to work on complex, high-impact systems in a collaborative and forward-thinking environment, we'd love to hear from you.
Mar 24, 2026
Full time
Backend Engineer (Python, FastAPI/Flask/DjangoGPU/CUDA) Bristol (Hybrid) £55,000 - £70,000 + Benefits PermanentThe OpportunityAn innovative analytics organisation operating within the insurance and risk sector is looking for a Backend Engineer to join their growing technology team in Bristol.This company builds advanced underwriting and risk modelling platforms that combine modern software engineering, cloud infrastructure, and high-performance computing. You'll join a collaborative, highly skilled team of engineers and data scientists working on systems that directly influence real-world underwriting and portfolio decisions.This is an excellent opportunity for someone with strong Python backend experience who is excited by data-intensive systems, cloud-native architecture, and performance-driven engineering.The RoleAs a Backend Engineer, you will play a key role in developing and scaling backend services that power a next-generation risk modelling platform.You'll work closely with engineers and risk scientists to support GPU-accelerated modelling pipelines, design robust APIs, and ensure systems are reliable, performant, and production-ready.Key ResponsibilitiesDevelop and maintain backend services in Python using modern frameworks (e.g. FastAPI)Design and implement REST APIs for internal platforms and third-party integrationsCollaborate with scientists to support a GPU-accelerated risk modelling engineOptimise backend services for scalability, performance, and reliabilityIntegrate with underwriting, analytics, and portfolio systemsSupport cloud-native deployments (GCP environment)Write clean, well-tested, well-documented code following best engineering practicesWork in a cross-functional team alongside engineers, data scientists, and domain specialistsAbout YouEssential:3-5 years' professional backend engineering experience with PythonStrong experience with FastAPI (or similar modern Python frameworks)Experience with relational databases (e.g. PostgreSQL) and ORMs such as SQLAlchemyExperience working in cloud environments (GCP preferred)Solid understanding of testing, CI/CD, Git workflows, and clean code principlesStrong communication skills and a collaborative mindsetDegree in Computer Science or related technical disciplineDesirable:Exposure to GPU computing or acceleration frameworks (e.g. CUDA, CuPy, Numba)Experience with Terraform or infrastructure-as-code toolingFamiliarity with Kubernetes or other cloud orchestration platformsInterest in high-performance or numerical computingExperience within insurance, finance, or analytics-driven environmentsWhy Apply?Work on technically challenging, real-world modelling systemsCollaborate with highly skilled engineers and scientistsExposure to GPU acceleration and performance engineeringCompetitive salary (£55k-£70k)Hybrid working model (Bristol-based team)Opportunity to influence and shape a growing platformIf you're a Python backend engineer looking to work on complex, high-impact systems in a collaborative and forward-thinking environment, we'd love to hear from you.
Senior Core Java Engineer - Low-Latency Trading Salary: Up to £125,000 + bonus + benefits Location: City of London (3 days onsite) Build ultra-low latency systems at the heart of global FX trading! This is an opportunity for a Senior Core Java Engineer to join a leading Asian FX trading firm as they continue to scale their London engineering team. You'll play a key role in designing and optimising high-performance trading systems where speed, precision and reliability are critical. If you enjoy working close to the metal, solving complex performance challenges and operating in a fast-paced financial environment, this is the role for you. What you'll be doing Design, build and optimise low-latency, high-throughput Core Java trading systems Own and drive performance improvements across critical components Contribute to the architecture and evolution of a world-class FX trading platform processing billions of messages per day Mentor engineers and promote best practices around testing, code quality and performance Operate within modern engineering practices including CI/CD, TDD, and Agile Tech Environment Core Java (no frameworks), multithreading, concurrency, low-latency optimisation, AWS/GCP, Docker, Kubernetes, CI/CD, TDD, Agile. ? What they're looking for Strong commercial experience in Core Java development (framework-light / no Spring environments preferred) Deep understanding of multithreading and concurrency Experience building or optimising low-latency or high-performance systems Background working in high-throughput, distributed environments Comfortable working in cloud-based infrastructure (AWS or GCP) Strong engineering fundamentals and a senior-level mindset (ownership, mentoring, architectural input) Interest in financial markets or trading systems (experience in finance is a plus, not essential) ? Why join? Work on systems where milliseconds matter High-impact role with real ownership and technical influence Join a growing London team within a globally established trading firm Competitive compensation with strong bonus potential Interested? Apply now or get in touch for a confidential conversation.
Mar 24, 2026
Full time
Senior Core Java Engineer - Low-Latency Trading Salary: Up to £125,000 + bonus + benefits Location: City of London (3 days onsite) Build ultra-low latency systems at the heart of global FX trading! This is an opportunity for a Senior Core Java Engineer to join a leading Asian FX trading firm as they continue to scale their London engineering team. You'll play a key role in designing and optimising high-performance trading systems where speed, precision and reliability are critical. If you enjoy working close to the metal, solving complex performance challenges and operating in a fast-paced financial environment, this is the role for you. What you'll be doing Design, build and optimise low-latency, high-throughput Core Java trading systems Own and drive performance improvements across critical components Contribute to the architecture and evolution of a world-class FX trading platform processing billions of messages per day Mentor engineers and promote best practices around testing, code quality and performance Operate within modern engineering practices including CI/CD, TDD, and Agile Tech Environment Core Java (no frameworks), multithreading, concurrency, low-latency optimisation, AWS/GCP, Docker, Kubernetes, CI/CD, TDD, Agile. ? What they're looking for Strong commercial experience in Core Java development (framework-light / no Spring environments preferred) Deep understanding of multithreading and concurrency Experience building or optimising low-latency or high-performance systems Background working in high-throughput, distributed environments Comfortable working in cloud-based infrastructure (AWS or GCP) Strong engineering fundamentals and a senior-level mindset (ownership, mentoring, architectural input) Interest in financial markets or trading systems (experience in finance is a plus, not essential) ? Why join? Work on systems where milliseconds matter High-impact role with real ownership and technical influence Join a growing London team within a globally established trading firm Competitive compensation with strong bonus potential Interested? Apply now or get in touch for a confidential conversation.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Quantum Software Engineer to develop cutting edge applications and algorithms for next generation quantum computers. In this role, you will design, implement, and optimise quantum algorithms across domains such as simulation, optimisation, sensing enhanced workflows, and hybrid quantum classical computation. You will work closely with hardware, control, and research teams to translate theoretical advances into performant, executable workloads, leveraging modern quantum SDKs, compiler toolchains, and resource estimation frameworks. The ideal candidate combines strong foundations in quantum algorithms and computational mathematics with practical software engineering expertise, enabling them to build scalable, testable, and high impact quantum applications that push the boundaries of near term and fault tolerant quantum systems. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Conduct R&D toward cutting edge advances in quantum technology with a focus on quantum applications and algorithms Deploy software optimisations to our cloud platform Superstaq using industry grade software engineering procedures including documentation, linting, testing, and type checking Interface with customers of Superstaq to understand their needs and support them in a timely fashion Contribute to development of government and commercial proposals and execution on global programmes Collaborate with experimental physicists and software engineers to bridge the gap between theoretical concepts and practical implementation Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences Stay up to date with the latest developments in quantum computer architecture, quantum compilation and related fields Provide guidance and support to other team members, fostering a collaborative research environment QUALIFICATIONS Master's degree in quantum applications, mathematics, engineering, physics or a directly related field. Must High proficiency in programming, with fluency in Python preferable. Experience with open source quantum software frameworks such as Cirq or Qiskit; Demonstrated ability to work and communicate with all levels of an organisation; Professional level communication skills, including verbal, written, and presentation skills Demonstrated ability to work comfortably in a highly collaborative, cross functional, team oriented, and matrixed environment Desire and demonstrated ability to thrive and produce results in a fluid, dynamic, and fast paced environment Demonstrated ability to learn new and complex topics quickly Resourceful problem solver who collaboratively identifies effective paths forward with demonstrated expertise in executing productisation efforts Passion for solving complex problems and challenges in a highly technical and scientific environment Desirable Skills or Knowledge PhD in quantum computation, physics, computer science, or a directly related field Familiarity with concepts in quantum computing such as error correction / fault tolerance, native gate decomposition, qubit mapping and routing, and variational quantum algorithms Experience with material science applications of quantum computers Familiarity with best practices of professional software engineering such as coverage, integration tests, type checking, unit tests, and version control Experience with backend development with tools such as FastAPI for web frameworks and PostgreSQL/SQLAlchemy for databases Experience with cloud development, especially on GCP and AWS Familiarity with CI/CD, automated actions, issue tracking, version control, and other features on GitHub Familiarity with security core best practices such as access control, encryption at rest, key rotation, and logging Exposure to or interest in front end / GUI development, e.g., HTML/CSS, React, PyQt. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. COMPENSATION & BENEFITS In addition to your base compensation, we offer a generous Total Rewards programme which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Mar 23, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Quantum Software Engineer to develop cutting edge applications and algorithms for next generation quantum computers. In this role, you will design, implement, and optimise quantum algorithms across domains such as simulation, optimisation, sensing enhanced workflows, and hybrid quantum classical computation. You will work closely with hardware, control, and research teams to translate theoretical advances into performant, executable workloads, leveraging modern quantum SDKs, compiler toolchains, and resource estimation frameworks. The ideal candidate combines strong foundations in quantum algorithms and computational mathematics with practical software engineering expertise, enabling them to build scalable, testable, and high impact quantum applications that push the boundaries of near term and fault tolerant quantum systems. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Conduct R&D toward cutting edge advances in quantum technology with a focus on quantum applications and algorithms Deploy software optimisations to our cloud platform Superstaq using industry grade software engineering procedures including documentation, linting, testing, and type checking Interface with customers of Superstaq to understand their needs and support them in a timely fashion Contribute to development of government and commercial proposals and execution on global programmes Collaborate with experimental physicists and software engineers to bridge the gap between theoretical concepts and practical implementation Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences Stay up to date with the latest developments in quantum computer architecture, quantum compilation and related fields Provide guidance and support to other team members, fostering a collaborative research environment QUALIFICATIONS Master's degree in quantum applications, mathematics, engineering, physics or a directly related field. Must High proficiency in programming, with fluency in Python preferable. Experience with open source quantum software frameworks such as Cirq or Qiskit; Demonstrated ability to work and communicate with all levels of an organisation; Professional level communication skills, including verbal, written, and presentation skills Demonstrated ability to work comfortably in a highly collaborative, cross functional, team oriented, and matrixed environment Desire and demonstrated ability to thrive and produce results in a fluid, dynamic, and fast paced environment Demonstrated ability to learn new and complex topics quickly Resourceful problem solver who collaboratively identifies effective paths forward with demonstrated expertise in executing productisation efforts Passion for solving complex problems and challenges in a highly technical and scientific environment Desirable Skills or Knowledge PhD in quantum computation, physics, computer science, or a directly related field Familiarity with concepts in quantum computing such as error correction / fault tolerance, native gate decomposition, qubit mapping and routing, and variational quantum algorithms Experience with material science applications of quantum computers Familiarity with best practices of professional software engineering such as coverage, integration tests, type checking, unit tests, and version control Experience with backend development with tools such as FastAPI for web frameworks and PostgreSQL/SQLAlchemy for databases Experience with cloud development, especially on GCP and AWS Familiarity with CI/CD, automated actions, issue tracking, version control, and other features on GitHub Familiarity with security core best practices such as access control, encryption at rest, key rotation, and logging Exposure to or interest in front end / GUI development, e.g., HTML/CSS, React, PyQt. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. COMPENSATION & BENEFITS In addition to your base compensation, we offer a generous Total Rewards programme which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
Mar 23, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Mar 22, 2026
Full time
Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing practical, data-driven solutions to clients Assisting in proposal development and pitching to stakeholders Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical thinking Ability to communicate complex technical concepts to a range of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment. Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Mar 22, 2026
Full time
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Senior Full Stack Engineer - House ChannelOps Posted: 08/03/2026 Location The senior Full Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a Full Stack Engineer who is comfortable operating at the intersection of a product that drives customers' financial spend in the cloud and allows them to succeed in configuring, visualising and operating their business FinOps needs. This role facilitates the creation of interfaces and back end infrastructure that remove friction and allow ease of such configurations. We want to delight customers in how easy it is to set up, operate and observe the flow of financial cloud spend data. The role will help us evolve our DoiT Cloud Intelligence (DCI) product. You'll work with the Billing and Partner team to collaborate on design, build prototypes, deliver scalable back end services and great UI/UX experiences and think how to present data in the clearest way. Beyond this, you'll communicate with technical leaders on best practices and set the highest standard and diligence in full stack engineering. This is a key role as we grow. DoiT Cloud Intelligence for ChannelOps is a data driven, unified system that offers provisioning, billing and invoicing, reporting, automation and partner enablement, connecting operations to revenue and compliance. It powers resellers, distributors, and enterprises to effectively manage, sell, and optimise multi cloud channels. Responsibilities Design, build, and scale back end services in Golang and UI/UX experiences in React to configure, operate and delight customers on the journey of their FinOps data success Work closely with the Billing and Partner team on delivering solutions that are modern, scale and run efficiently. Learn and understand the domain in which the work happens and what the product is truly about. Be able to adapt fast in a market where we are the leaders Contribute to discussions and groups of your peers at DoiT that focus on the front end and learn continuously about how the different parts of the product work together and are evolving Think carefully about guard rails for customers interacting with the product, allowing them to succeed Drive best practices and industry standards forward Qualifications 7+ years of experience as a full stack engineer, with exposure to SaaS products that are used by many customers Strong programming skills in Golang and React ideal An understanding of cloud infrastructure is beneficial (AWS and GCP preferred). Comfortable collaborating across product and engineering teams. Excellent communication skills in English, both written and verbal. Self motivated, adaptable, and effective in a fast moving environment. A great sense of humour and enjoys having fun at work Bonus Points Knowledge of FinOps and FinOps products would be a strong plus. BA/BS degree or equivalent practical experience. Demonstrating a portfolio of what you've built in your career so far Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values . We thought so too, but we're here and happy we hit that 'apply' button. Unlimited PTO Flexible Working Options Health Insurance Employee Stock Option Plan Professional Development Stipend DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognising that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. DoiT Cloud Intelligence helps you look beyond surface level metrics like high CPU, IOPS, or GPU utilisation to uncover the hidden inefficiencies in your cloud workloads.
Mar 21, 2026
Full time
Senior Full Stack Engineer - House ChannelOps Posted: 08/03/2026 Location The senior Full Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal. Who We Are DoiT is a global technology company that works with cloud driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a Full Stack Engineer who is comfortable operating at the intersection of a product that drives customers' financial spend in the cloud and allows them to succeed in configuring, visualising and operating their business FinOps needs. This role facilitates the creation of interfaces and back end infrastructure that remove friction and allow ease of such configurations. We want to delight customers in how easy it is to set up, operate and observe the flow of financial cloud spend data. The role will help us evolve our DoiT Cloud Intelligence (DCI) product. You'll work with the Billing and Partner team to collaborate on design, build prototypes, deliver scalable back end services and great UI/UX experiences and think how to present data in the clearest way. Beyond this, you'll communicate with technical leaders on best practices and set the highest standard and diligence in full stack engineering. This is a key role as we grow. DoiT Cloud Intelligence for ChannelOps is a data driven, unified system that offers provisioning, billing and invoicing, reporting, automation and partner enablement, connecting operations to revenue and compliance. It powers resellers, distributors, and enterprises to effectively manage, sell, and optimise multi cloud channels. Responsibilities Design, build, and scale back end services in Golang and UI/UX experiences in React to configure, operate and delight customers on the journey of their FinOps data success Work closely with the Billing and Partner team on delivering solutions that are modern, scale and run efficiently. Learn and understand the domain in which the work happens and what the product is truly about. Be able to adapt fast in a market where we are the leaders Contribute to discussions and groups of your peers at DoiT that focus on the front end and learn continuously about how the different parts of the product work together and are evolving Think carefully about guard rails for customers interacting with the product, allowing them to succeed Drive best practices and industry standards forward Qualifications 7+ years of experience as a full stack engineer, with exposure to SaaS products that are used by many customers Strong programming skills in Golang and React ideal An understanding of cloud infrastructure is beneficial (AWS and GCP preferred). Comfortable collaborating across product and engineering teams. Excellent communication skills in English, both written and verbal. Self motivated, adaptable, and effective in a fast moving environment. A great sense of humour and enjoys having fun at work Bonus Points Knowledge of FinOps and FinOps products would be a strong plus. BA/BS degree or equivalent practical experience. Demonstrating a portfolio of what you've built in your career so far Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values . We thought so too, but we're here and happy we hit that 'apply' button. Unlimited PTO Flexible Working Options Health Insurance Employee Stock Option Plan Professional Development Stipend DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognising that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. DoiT Cloud Intelligence helps you look beyond surface level metrics like high CPU, IOPS, or GPU utilisation to uncover the hidden inefficiencies in your cloud workloads.
