Senior Front-End Engineer (Angular) Greater London (Remote/Hybrid - Flexible Working) 60,000 - 80,000 + Growth + Leadership + Equity Opportunities An excellent opportunity awaits a strong Frontend Engineer with solid Angular experience who is looking to take a leading role within a growing, well-funded early-stage start-up. This position offers real ownership, shaping architecture, influencing product direction, and helping scale an engineering function from the ground up. This company is a well-backed early-stage start-up with major commercial contracts already secured and founders who have previously built and exited successful businesses. They are building a data-driven platform that streamlines complex, multi-step processes through modelling, optimisation and workflow automation. In this role, you will take ownership of the frontend, leading architecture and driving end-to-end development of the user-facing platform. Working closely with an experienced, backend-leaning CTO and the founders, you will help define technical direction as the team grows. With planned hires over the next 18 months, this role naturally progresses into a broader leadership position. The role is based in Central London, with flexible remote working and collaborative in-person time throughout the month. The ideal candidate will have strong frontend architecture and engineering experience, ideally with latest versions of Angular. Experience with NgRx, RxJS and deploying to cloud environments is desirable. More importantly, they will be motivated by ownership, leadership and the opportunity to grow within a scaling business. This is a fantastic opportunity for an ambitious frontend engineer who wants impact, progression and visibility in a funded start-up environment, helping shape both the product and the engineering team from an early stage The Role: Lead the frontend development and take ownership of the Angular platform Deliver features end to end and help define technical standards Work closely with the founders and CTO Support the growth of the engineering team as new hires join Based in Central London with flexible remote working and regular in-office collaboration The Person: Strong frontend development experience, ideally using modern Angular Experience with state management tools such as NgRx or RxJS Familiar with deploying applications into cloud environments (AWS, Azure, GCP) Interested in taking on responsibility and contributing to technical direction Looking to grow within an early-stage, scaling business Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Feb 27, 2026
Full time
Senior Front-End Engineer (Angular) Greater London (Remote/Hybrid - Flexible Working) 60,000 - 80,000 + Growth + Leadership + Equity Opportunities An excellent opportunity awaits a strong Frontend Engineer with solid Angular experience who is looking to take a leading role within a growing, well-funded early-stage start-up. This position offers real ownership, shaping architecture, influencing product direction, and helping scale an engineering function from the ground up. This company is a well-backed early-stage start-up with major commercial contracts already secured and founders who have previously built and exited successful businesses. They are building a data-driven platform that streamlines complex, multi-step processes through modelling, optimisation and workflow automation. In this role, you will take ownership of the frontend, leading architecture and driving end-to-end development of the user-facing platform. Working closely with an experienced, backend-leaning CTO and the founders, you will help define technical direction as the team grows. With planned hires over the next 18 months, this role naturally progresses into a broader leadership position. The role is based in Central London, with flexible remote working and collaborative in-person time throughout the month. The ideal candidate will have strong frontend architecture and engineering experience, ideally with latest versions of Angular. Experience with NgRx, RxJS and deploying to cloud environments is desirable. More importantly, they will be motivated by ownership, leadership and the opportunity to grow within a scaling business. This is a fantastic opportunity for an ambitious frontend engineer who wants impact, progression and visibility in a funded start-up environment, helping shape both the product and the engineering team from an early stage The Role: Lead the frontend development and take ownership of the Angular platform Deliver features end to end and help define technical standards Work closely with the founders and CTO Support the growth of the engineering team as new hires join Based in Central London with flexible remote working and regular in-office collaboration The Person: Strong frontend development experience, ideally using modern Angular Experience with state management tools such as NgRx or RxJS Familiar with deploying applications into cloud environments (AWS, Azure, GCP) Interested in taking on responsibility and contributing to technical direction Looking to grow within an early-stage, scaling business Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
The Role: Data Architect Location: Remote / Birmingham once a month Salary: Up to £85,000 + bonus + generous pension VIQU have partnered with a leading organisation undergoing a large scale brownfield transformation, replacing an existing SAP platform with a modern, scalable solution (with technologies yet to be decided). This role would suit a pragmatic Data Architect who has previously designed and built a greenfield or brownfield platform with a high level of autonomy. The organisation is currently relatively immature from a data architecture perspective, so the ideal candidate must be comfortable operating with ambiguity, shaping direction and implementing data governance frameworks. Experience within a highly regulated industry would be advantageous. Key Responsibilities of the Data Architect: Own and shape the enterprise data architecture vision, strategy and maturity roadmap. Design the end-to-end data platform, including data models, data lakes, warehouses and integrations. Define data standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a single version of the truth across the industry and enable secure data sharing. Requirements Proven experience as a Data Architect, having previously shaped or matured an organisation s data landscape. Experience within a regulated industry (e.g. utilities, finance, defence). Energy/utilities experience (gas, water, power, electricity) would be highly desirable. Broad knowledge of modern data platforms (AWS, Azure, GCP, Snowflake, Databricks). Experience working within SAP environments/modules (e.g. S/4 HANA, RISE) would be advantageous. Strong data modelling expertise. Comfortable working through ambiguity and able to communicate architectural decisions at a senior level. The role: Data Architect Location: Remote / Birmingham Salary: Up to £85,000 + bonus + generous pension Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (url removed) Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment
Feb 27, 2026
Full time
The Role: Data Architect Location: Remote / Birmingham once a month Salary: Up to £85,000 + bonus + generous pension VIQU have partnered with a leading organisation undergoing a large scale brownfield transformation, replacing an existing SAP platform with a modern, scalable solution (with technologies yet to be decided). This role would suit a pragmatic Data Architect who has previously designed and built a greenfield or brownfield platform with a high level of autonomy. The organisation is currently relatively immature from a data architecture perspective, so the ideal candidate must be comfortable operating with ambiguity, shaping direction and implementing data governance frameworks. Experience within a highly regulated industry would be advantageous. Key Responsibilities of the Data Architect: Own and shape the enterprise data architecture vision, strategy and maturity roadmap. Design the end-to-end data platform, including data models, data lakes, warehouses and integrations. Define data standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a single version of the truth across the industry and enable secure data sharing. Requirements Proven experience as a Data Architect, having previously shaped or matured an organisation s data landscape. Experience within a regulated industry (e.g. utilities, finance, defence). Energy/utilities experience (gas, water, power, electricity) would be highly desirable. Broad knowledge of modern data platforms (AWS, Azure, GCP, Snowflake, Databricks). Experience working within SAP environments/modules (e.g. S/4 HANA, RISE) would be advantageous. Strong data modelling expertise. Comfortable working through ambiguity and able to communicate architectural decisions at a senior level. The role: Data Architect Location: Remote / Birmingham Salary: Up to £85,000 + bonus + generous pension Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (url removed) Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment
DV Cleared DevSecOps Platform Architect & Engineer Location: Hampshire Security Clearance: Active DV Clearance Required Rate/Salary: 650 to 750 per day - Outside IR35 + Long term engagement Overview We're looking for a DV Cleared DevSecOps Platform Architect & Engineer to join a high-profile, secure military IT programme, delivering highly resilient, automated, and secure data platforms. This role sits at the intersection of DevSecOps, platform engineering, cloud infrastructure, and secure data systems, supporting advanced research and large-scale data analysis in a mission-critical environment. If you enjoy building things that have to work first time, in places where failure is not an option, you'll feel right at home. Key Responsibilities Design, build, and maintain secure DevSecOps platforms supporting sensitive data workloads Architect and deliver automated CI/CD and GitOps pipelines for rapid, secure deployments Develop and manage secure cloud and hybrid infrastructure Implement security-first engineering practices across the full SDLC Build and optimise data pipelines for large-scale data processing and analytics Design and operate containerised platforms using Kubernetes and modern orchestration tooling Embed security controls, monitoring, and compliance across all environments Collaborate closely with engineering, security, and operational teams Essential Skills & Experience ActiveHLC Strong experience in DevSecOps and Platform Engineering Deep hands-on expertise with CI/CD pipelines and GitOps tooling Strong background in cloud platforms (AWS, Azure, or GCP - secure environments preferred) Experience designing secure, scalable infrastructure-as-code solutions Strong knowledge of containerisation and orchestration (Docker, Kubernetes, Helm, etc.) Proven experience building data pipelines and supporting large-scale data processing platforms Solid understanding of cybersecurity principles, zero-trust, and secure system design Desirable Experience Experience working in defence, military, or highly regulated secure environments Knowledge of air-gapped or restricted network architectures Exposure to big data platforms, analytics tooling, or AI/ML pipelines Background in site reliability engineering (SRE) or reliability-focused platform design Why This Role? Work on cutting-edge secure military systems High-impact engineering - your work directly supports critical national capabilities Proper engineering challenges, not just "keeping the lights on" Long-term programme stability and excellent contract longevity
Feb 27, 2026
Contractor
DV Cleared DevSecOps Platform Architect & Engineer Location: Hampshire Security Clearance: Active DV Clearance Required Rate/Salary: 650 to 750 per day - Outside IR35 + Long term engagement Overview We're looking for a DV Cleared DevSecOps Platform Architect & Engineer to join a high-profile, secure military IT programme, delivering highly resilient, automated, and secure data platforms. This role sits at the intersection of DevSecOps, platform engineering, cloud infrastructure, and secure data systems, supporting advanced research and large-scale data analysis in a mission-critical environment. If you enjoy building things that have to work first time, in places where failure is not an option, you'll feel right at home. Key Responsibilities Design, build, and maintain secure DevSecOps platforms supporting sensitive data workloads Architect and deliver automated CI/CD and GitOps pipelines for rapid, secure deployments Develop and manage secure cloud and hybrid infrastructure Implement security-first engineering practices across the full SDLC Build and optimise data pipelines for large-scale data processing and analytics Design and operate containerised platforms using Kubernetes and modern orchestration tooling Embed security controls, monitoring, and compliance across all environments Collaborate closely with engineering, security, and operational teams Essential Skills & Experience ActiveHLC Strong experience in DevSecOps and Platform Engineering Deep hands-on expertise with CI/CD pipelines and GitOps tooling Strong background in cloud platforms (AWS, Azure, or GCP - secure environments preferred) Experience designing secure, scalable infrastructure-as-code solutions Strong knowledge of containerisation and orchestration (Docker, Kubernetes, Helm, etc.) Proven experience building data pipelines and supporting large-scale data processing platforms Solid understanding of cybersecurity principles, zero-trust, and secure system design Desirable Experience Experience working in defence, military, or highly regulated secure environments Knowledge of air-gapped or restricted network architectures Exposure to big data platforms, analytics tooling, or AI/ML pipelines Background in site reliability engineering (SRE) or reliability-focused platform design Why This Role? Work on cutting-edge secure military systems High-impact engineering - your work directly supports critical national capabilities Proper engineering challenges, not just "keeping the lights on" Long-term programme stability and excellent contract longevity
Job Title: Snowflake Data Engineer Location: London (2 days on-site per week) Salary/Rate: 550 - 600 per day inside IR35 Start Date: March Job Type: Initial 3-6 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Snowflake Data Engineer to help on their cloud migration project. Job Responsibilities/Objectives You will be responsible for designing and building scalable data pipelines, Data Vault models/Dimension Model, and Snowflake/dbt workloads for cloud migration projects. ? Implement Data Vault 2.0 (Hubs, Links, Satellites) /Dimension Model on Snowflake. ? Build ELT pipelines using Snowflake, dbt, Python/PySpark. ? Develop ingestion from APIs, databases, streams. ? Optimize Snowflake warehouses, cost, and performance. ? Collaborate with architects, analysts, and DevOps. ? Maintain documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: ? Strong SQL; Snowflake ELT; dbt experience. ? Python/PySpark, ETL/ELT design. ? Data Vault 2.0 or dimensional modeling. ? AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. ? Experience with CI/CD for data pipelines. Good to have skills Although not essential, the following skills are desired by the client: ? Kafka/Kinesis, Airflow, CodePipeline. ? BI tools (Power BI/Tableau). ? Docker/OpenShift; metadata driven pipelines. ? 3-8+ years Data Engineering experience. ? Cloud data engineering and Snowflake/dbt hands on exposure. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Feb 27, 2026
Contractor
Job Title: Snowflake Data Engineer Location: London (2 days on-site per week) Salary/Rate: 550 - 600 per day inside IR35 Start Date: March Job Type: Initial 3-6 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Snowflake Data Engineer to help on their cloud migration project. Job Responsibilities/Objectives You will be responsible for designing and building scalable data pipelines, Data Vault models/Dimension Model, and Snowflake/dbt workloads for cloud migration projects. ? Implement Data Vault 2.0 (Hubs, Links, Satellites) /Dimension Model on Snowflake. ? Build ELT pipelines using Snowflake, dbt, Python/PySpark. ? Develop ingestion from APIs, databases, streams. ? Optimize Snowflake warehouses, cost, and performance. ? Collaborate with architects, analysts, and DevOps. ? Maintain documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: ? Strong SQL; Snowflake ELT; dbt experience. ? Python/PySpark, ETL/ELT design. ? Data Vault 2.0 or dimensional modeling. ? AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. ? Experience with CI/CD for data pipelines. Good to have skills Although not essential, the following skills are desired by the client: ? Kafka/Kinesis, Airflow, CodePipeline. ? BI tools (Power BI/Tableau). ? Docker/OpenShift; metadata driven pipelines. ? 3-8+ years Data Engineering experience. ? Cloud data engineering and Snowflake/dbt hands on exposure. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Who are PortSwigger: PortSwigger is a company built around a simple belief: security should empower people, not slow them down. We create world-class tooling that helps security teams and developers uncover and fix real vulnerabilities, the kind that actually matter. Our products are crafted with care, backed by deep research, and shaped by a relentless drive to make the web safer for everyone. We're a successful, engineering-led organisation where small squads are empowered to take forward work in a suitable way, high-leverage work. Curiosity fuels us, craftsmanship defines us, and mutual support keeps us growing together. Here, you'll have real agency, clear direction, and the freedom to push boundaries, supported by thoughtful coaching and a culture that values learning as much as delivery. The Technology Tribe: The Technology tribe builds and runs the platforms, systems and tools that power everything at PortSwigger. From technical direction to day-to-day reliability, they shape the foundation that helps our products shine and our teams move fast with confidence. They embed secure-by-default thinking into everything we do. From managing risk to protecting our systems and data, they take ownership of keeping PortSwigger safe as the company scales. They work hand in hand with Product and Engineering to make smart pragmatic architectural choices. Whether it's levelling up our platforms, simplifying how teams ship or solving hard cross-cutting problems, they make it easier for Swiggers to deliver incredible work at scale. Join Technology if you want to build the systems that help every Swigger work faster, safer and smarter. What we're looking for: Designing and operating cloud-native infrastructure across AWS, Azure, or GCP. Building and maintaining containerised environments using Docker and Kubernetes. Implementing infrastructure as code using tools such as AWS CDK or equivalent. Developing and improving CI/CD pipelines to enable safe, frequent delivery. Automating manual processes to reduce toil and improve system resilience. Operating and scaling distributed systems with reliability and observability in mind. Collaborating closely with product engineering teams to provide robust platform capabilities. Sharing knowledge, reviewing work, and contributing to a high-performance engineering culture. What we're looking for: 5+ years' experience in a Platform, Infrastructure, DevOps, SRE, or similar role. Strong hands-on experience with cloud platforms (AWS, Azure, or GCP). Solid Linux foundations and systems-level problem-solving skills. Experience with Docker, Kubernetes, and container-based architectures. Proficiency in infrastructure as code (e.g., AWS CDK, Terraform, or similar). Experience designing and operating CI/CD pipelines. A track record of scaling systems and reducing operational overhead through automation. A pragmatic mindset with strong decision-making capability. Clear, collaborative communication and openness to feedback. At PortSwigger, we believe people should be paid what they're truly worth - not just what we could get away with or what the market dictates. That's why we pay generously above normal market levels, based on each person's individual skills and contribution. Our approach works: 95% of Swiggers say they're mostly or completely satisfied with their pay and benefits. Alongside a strong base salary, we offer share options and a comprehensive benefits package designed to support both your work and life.
Feb 27, 2026
Full time
Who are PortSwigger: PortSwigger is a company built around a simple belief: security should empower people, not slow them down. We create world-class tooling that helps security teams and developers uncover and fix real vulnerabilities, the kind that actually matter. Our products are crafted with care, backed by deep research, and shaped by a relentless drive to make the web safer for everyone. We're a successful, engineering-led organisation where small squads are empowered to take forward work in a suitable way, high-leverage work. Curiosity fuels us, craftsmanship defines us, and mutual support keeps us growing together. Here, you'll have real agency, clear direction, and the freedom to push boundaries, supported by thoughtful coaching and a culture that values learning as much as delivery. The Technology Tribe: The Technology tribe builds and runs the platforms, systems and tools that power everything at PortSwigger. From technical direction to day-to-day reliability, they shape the foundation that helps our products shine and our teams move fast with confidence. They embed secure-by-default thinking into everything we do. From managing risk to protecting our systems and data, they take ownership of keeping PortSwigger safe as the company scales. They work hand in hand with Product and Engineering to make smart pragmatic architectural choices. Whether it's levelling up our platforms, simplifying how teams ship or solving hard cross-cutting problems, they make it easier for Swiggers to deliver incredible work at scale. Join Technology if you want to build the systems that help every Swigger work faster, safer and smarter. What we're looking for: Designing and operating cloud-native infrastructure across AWS, Azure, or GCP. Building and maintaining containerised environments using Docker and Kubernetes. Implementing infrastructure as code using tools such as AWS CDK or equivalent. Developing and improving CI/CD pipelines to enable safe, frequent delivery. Automating manual processes to reduce toil and improve system resilience. Operating and scaling distributed systems with reliability and observability in mind. Collaborating closely with product engineering teams to provide robust platform capabilities. Sharing knowledge, reviewing work, and contributing to a high-performance engineering culture. What we're looking for: 5+ years' experience in a Platform, Infrastructure, DevOps, SRE, or similar role. Strong hands-on experience with cloud platforms (AWS, Azure, or GCP). Solid Linux foundations and systems-level problem-solving skills. Experience with Docker, Kubernetes, and container-based architectures. Proficiency in infrastructure as code (e.g., AWS CDK, Terraform, or similar). Experience designing and operating CI/CD pipelines. A track record of scaling systems and reducing operational overhead through automation. A pragmatic mindset with strong decision-making capability. Clear, collaborative communication and openness to feedback. At PortSwigger, we believe people should be paid what they're truly worth - not just what we could get away with or what the market dictates. That's why we pay generously above normal market levels, based on each person's individual skills and contribution. Our approach works: 95% of Swiggers say they're mostly or completely satisfied with their pay and benefits. Alongside a strong base salary, we offer share options and a comprehensive benefits package designed to support both your work and life.
Senior Data Engineer Lancashire Permanent Hybrid Competitive Salary VIQU have partnered with a leading organisation seeking a Senior Data Engineer to join their Data and Platform Engineering team during an exciting period of cloud and data platform transformation. In this hands-on role, you will design, build, and deliver modern data platforms within a cloud-first, Data Mesh environment, work closely with product managers, architects, and engineers, take ownership of your projects, and mentor junior colleagues, making a real impact on both the technology and the team. Key Responsibilities: • Lead the design, development, and delivery of cloud-based data platforms and data products as a Senior Data Engineer. • Own the full data product lifecycle, from initial design through to decommissioning. • Build and maintain robust ETL / ELT pipelines using SQL, Python, and modern tooling. • Collaborate closely with product managers, architects, and engineers to solve complex technical and business challenges. • Act as the go-to technical expert for junior engineers, providing mentorship, code reviews, and quality assurance. • Produce clear, well-documented solutions for both technical and non-technical audiences. • Support CI/CD, environment control (dev/test/prod), and effective change management practices. • Contribute to cloud platform development, with a strong preference for GCP (BigQuery), within a Data Mesh architecture. Key Requirements: • 5+ years experience as a Data Engineer with a strong focus on ETL / ELT. • Advanced SQL and Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding of Data Mesh, Test Driven Design, and Agile delivery. • Experience with documentation, CI/CD pipelines, and multi-environment controls. • Excellent communication skills and the ability to lead by example within engineering teams. • Experience supporting mergers, integrations, or large-scale organisational change is highly desirable. Senior Data Engineer London Permanent Hybrid Competitive Salary Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed). Know someone exceptional for this position? Refer them and receive up to £1,000 if successful (terms apply). Follow us on LinkedIn IT Recruitment for more exciting opportunities.
Feb 27, 2026
Full time
Senior Data Engineer Lancashire Permanent Hybrid Competitive Salary VIQU have partnered with a leading organisation seeking a Senior Data Engineer to join their Data and Platform Engineering team during an exciting period of cloud and data platform transformation. In this hands-on role, you will design, build, and deliver modern data platforms within a cloud-first, Data Mesh environment, work closely with product managers, architects, and engineers, take ownership of your projects, and mentor junior colleagues, making a real impact on both the technology and the team. Key Responsibilities: • Lead the design, development, and delivery of cloud-based data platforms and data products as a Senior Data Engineer. • Own the full data product lifecycle, from initial design through to decommissioning. • Build and maintain robust ETL / ELT pipelines using SQL, Python, and modern tooling. • Collaborate closely with product managers, architects, and engineers to solve complex technical and business challenges. • Act as the go-to technical expert for junior engineers, providing mentorship, code reviews, and quality assurance. • Produce clear, well-documented solutions for both technical and non-technical audiences. • Support CI/CD, environment control (dev/test/prod), and effective change management practices. • Contribute to cloud platform development, with a strong preference for GCP (BigQuery), within a Data Mesh architecture. Key Requirements: • 5+ years experience as a Data Engineer with a strong focus on ETL / ELT. • Advanced SQL and Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding of Data Mesh, Test Driven Design, and Agile delivery. • Experience with documentation, CI/CD pipelines, and multi-environment controls. • Excellent communication skills and the ability to lead by example within engineering teams. • Experience supporting mergers, integrations, or large-scale organisational change is highly desirable. Senior Data Engineer London Permanent Hybrid Competitive Salary Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed). Know someone exceptional for this position? Refer them and receive up to £1,000 if successful (terms apply). Follow us on LinkedIn IT Recruitment for more exciting opportunities.
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing Integrations and Decisioning team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together. Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Sr Engineer, Software Development
Feb 27, 2026
Full time
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing Integrations and Decisioning team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together. Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Sr Engineer, Software Development
Principal Data Architect, Secure Government and Defence Programmes Location: UK, hybrid, client site as required Security Requirement: Developed Vetting (DV) clearance is mandatory. This role is only suitable for candidates who currently hold active DV clearance. Overview A leading UK consulting organisation delivering mission-critical digital and data transformation across defence, national security, and sensitive government environments is seeking a Principal Data Architect. This is a senior, client-facing role focused on defining and delivering secure, scalable data platforms within highly classified programmes. Due to the nature of the work and access to classified systems, only candidates with active DV clearance can be considered. Role Responsibilities Define and lead enterprise-level data architecture for complex, secure transformation programmes Architect end-to-end data platforms covering ingestion, integration, storage, governance, and analytics Design secure, resilient, and scalable architectures aligned with defence and national security requirements Translate mission and operational needs into technical data solutions Provide technical leadership across engineering teams and client stakeholders Contribute to capability growth, technical strategy, and thought leadership within secure environments Technical Environment Architectural responsibility across modern and legacy secure platforms, including: Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead multidisciplinary teams across data, engineering, and delivery functions Provide strategic technical direction and advisory support to senior stakeholders Support business development, technical assurance, and capability development Essential Requirements Active DV clearance (mandatory, non-negotiable) Strong experience designing and delivering enterprise data architectures Experience working in defence, national security, or highly regulated government environments Deep understanding of secure data platform design and cloud architectures Strong stakeholder engagement and consulting capability Experience leading teams and delivering complex programmes
Feb 27, 2026
Full time
Principal Data Architect, Secure Government and Defence Programmes Location: UK, hybrid, client site as required Security Requirement: Developed Vetting (DV) clearance is mandatory. This role is only suitable for candidates who currently hold active DV clearance. Overview A leading UK consulting organisation delivering mission-critical digital and data transformation across defence, national security, and sensitive government environments is seeking a Principal Data Architect. This is a senior, client-facing role focused on defining and delivering secure, scalable data platforms within highly classified programmes. Due to the nature of the work and access to classified systems, only candidates with active DV clearance can be considered. Role Responsibilities Define and lead enterprise-level data architecture for complex, secure transformation programmes Architect end-to-end data platforms covering ingestion, integration, storage, governance, and analytics Design secure, resilient, and scalable architectures aligned with defence and national security requirements Translate mission and operational needs into technical data solutions Provide technical leadership across engineering teams and client stakeholders Contribute to capability growth, technical strategy, and thought leadership within secure environments Technical Environment Architectural responsibility across modern and legacy secure platforms, including: Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead multidisciplinary teams across data, engineering, and delivery functions Provide strategic technical direction and advisory support to senior stakeholders Support business development, technical assurance, and capability development Essential Requirements Active DV clearance (mandatory, non-negotiable) Strong experience designing and delivering enterprise data architectures Experience working in defence, national security, or highly regulated government environments Deep understanding of secure data platform design and cloud architectures Strong stakeholder engagement and consulting capability Experience leading teams and delivering complex programmes
Senior Infrastructure Engineer As a Senior Infrastructure Engineer you will be responsible for leading the planning, design, implementation, and maintenance of the organisation's IT infrastructure, including servers, storage systems, networks, and cloud services. This is a hands-on role. You will work closely with the internal IT team and external partners to ensure that the IT infrastructure is secure, reliable, and scalable to meet business needs. You will also play a key role in strategic infrastructure planning and stakeholder management, providing technical expertise and guidance while collaborating with various departments to align IT infrastructure solutions with broader organisational objectives. Join a leading UK brand known for tech-driven transformation Work on cutting-edge infrastructure projects across cloud and on-prem environments Be part of a collaborative and supportive team with real career progression opportunities Hybrid working model based in Milton Keynes Key Responsibilities: Architect and implement enterprise-scale infrastructure solutions Manage hybrid environments across Azure, VMware , and on-prem systems Improve and maintain LAN/WAN, networking, and core security infrastructure Provide expert-level troubleshooting and performance tuning Collaborate with cross-functional teams and senior stakeholders Ensure robust security, disaster recovery, and compliance standards YOU 5+ years of experience in IT infrastructure engineering Strong hands-on skills with Microsoft technologies , including Azure and Windows Server Proven experience with VMware , LAN/WAN networks, and infrastructure security Familiar with cloud and hybrid environments (Azure, AWS, or GCP) Strong understanding of network protocols , firewalls, DNS, VPN, and backup solutions Eligibility to work in the UK is a MUST and you must be based within a commutable distance to Milton Keynes
Feb 27, 2026
Full time
Senior Infrastructure Engineer As a Senior Infrastructure Engineer you will be responsible for leading the planning, design, implementation, and maintenance of the organisation's IT infrastructure, including servers, storage systems, networks, and cloud services. This is a hands-on role. You will work closely with the internal IT team and external partners to ensure that the IT infrastructure is secure, reliable, and scalable to meet business needs. You will also play a key role in strategic infrastructure planning and stakeholder management, providing technical expertise and guidance while collaborating with various departments to align IT infrastructure solutions with broader organisational objectives. Join a leading UK brand known for tech-driven transformation Work on cutting-edge infrastructure projects across cloud and on-prem environments Be part of a collaborative and supportive team with real career progression opportunities Hybrid working model based in Milton Keynes Key Responsibilities: Architect and implement enterprise-scale infrastructure solutions Manage hybrid environments across Azure, VMware , and on-prem systems Improve and maintain LAN/WAN, networking, and core security infrastructure Provide expert-level troubleshooting and performance tuning Collaborate with cross-functional teams and senior stakeholders Ensure robust security, disaster recovery, and compliance standards YOU 5+ years of experience in IT infrastructure engineering Strong hands-on skills with Microsoft technologies , including Azure and Windows Server Proven experience with VMware , LAN/WAN networks, and infrastructure security Familiar with cloud and hybrid environments (Azure, AWS, or GCP) Strong understanding of network protocols , firewalls, DNS, VPN, and backup solutions Eligibility to work in the UK is a MUST and you must be based within a commutable distance to Milton Keynes
Agentic / GenAI Consultant / Senior Consultant At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. We're looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering to solve real business problems. If you're excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this is your place to do it. YOUR ROLE In this position you will play a key part in: Designing, developing, testing, and deploying both front-end and back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions. Collaborating cloud architects, data scientists, product managers, and business consultants to bring ideas to production. Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation/monitoring suitable for regulated clients Translating business challenges into AI-powered solutions, leveraging Generative and Agentic AI, data science, and analytics to deliver innovation and results to meet client standards. Working effectively in a team, supporting your peers in delivering at pace and meeting our own high internal standards of output and delivery. As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Using your full stack skillset to build AI Demonstrators to showcase to potential clients, contributing to proposals, RFPs, bids, client pitch contribution, and client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We'd love to meet someone with: Experience working in a major Consulting firm, and/or in industry but having a Consulting mindset with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering solutions. Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions. Experience of designing and developing full-stack applications across the application lifecycle, from building early PoCs, through to developing MVPs and testing them, to finally deploying a secure and scalable production-grade solution. A proven track record of successfully delivering solutions using traditional Machine Learning models, Generative AI models and using Agentic AI frameworks in a client-facing environment, by building GenAI And Agentic solutions, including data engineering in cloud environments. The ability to demonstrate the potential that AI has to offer to unlock business value. Your Technical Expertise: This list shows the technologies we work with most often. We don't expect you to have experience in all of them - what matters is a strong foundation and a good cross-section of these skills, along with the adaptability and curiosity to learn new tools as projects demand. Build AI product UX patterns (streaming, review loops, provenance/citations, long-running tasks, error-recovery) Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING HERE We're a fantastic team of bright, ambitious people who love to bring the latest tech to real clients and bring it into production to make a meaningful difference. We work across both the public and private sectors, and our impact is tangible: we innovate, we deploy, and you'll see your work come to life in the real world. Technology moves fast, and so do we. We're a group of true tech enthusiasts who push boundaries, experiment freely, and are trusted at Capgemini to explore what's next. Our in-house projects showcase what's possible with the newest models and agentic frameworks, and we regularly present our work at major events and conferences. We're looking for more people with the curiosity, drive, and self-starting spirit of real innovators. people who love technology and want to build the future with us. ELIGIBILITY You need to have resided in the UK for the last 5 years to be able to apply for this role NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Share this page with yourself or people you know Similar job opportunities If this job isn't the right fit for you, explore other opportunities! When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Feb 27, 2026
Full time
Agentic / GenAI Consultant / Senior Consultant At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. We're looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering to solve real business problems. If you're excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this is your place to do it. YOUR ROLE In this position you will play a key part in: Designing, developing, testing, and deploying both front-end and back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions. Collaborating cloud architects, data scientists, product managers, and business consultants to bring ideas to production. Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation/monitoring suitable for regulated clients Translating business challenges into AI-powered solutions, leveraging Generative and Agentic AI, data science, and analytics to deliver innovation and results to meet client standards. Working effectively in a team, supporting your peers in delivering at pace and meeting our own high internal standards of output and delivery. As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Using your full stack skillset to build AI Demonstrators to showcase to potential clients, contributing to proposals, RFPs, bids, client pitch contribution, and client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We'd love to meet someone with: Experience working in a major Consulting firm, and/or in industry but having a Consulting mindset with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering solutions. Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions. Experience of designing and developing full-stack applications across the application lifecycle, from building early PoCs, through to developing MVPs and testing them, to finally deploying a secure and scalable production-grade solution. A proven track record of successfully delivering solutions using traditional Machine Learning models, Generative AI models and using Agentic AI frameworks in a client-facing environment, by building GenAI And Agentic solutions, including data engineering in cloud environments. The ability to demonstrate the potential that AI has to offer to unlock business value. Your Technical Expertise: This list shows the technologies we work with most often. We don't expect you to have experience in all of them - what matters is a strong foundation and a good cross-section of these skills, along with the adaptability and curiosity to learn new tools as projects demand. Build AI product UX patterns (streaming, review loops, provenance/citations, long-running tasks, error-recovery) Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING HERE We're a fantastic team of bright, ambitious people who love to bring the latest tech to real clients and bring it into production to make a meaningful difference. We work across both the public and private sectors, and our impact is tangible: we innovate, we deploy, and you'll see your work come to life in the real world. Technology moves fast, and so do we. We're a group of true tech enthusiasts who push boundaries, experiment freely, and are trusted at Capgemini to explore what's next. Our in-house projects showcase what's possible with the newest models and agentic frameworks, and we regularly present our work at major events and conferences. We're looking for more people with the curiosity, drive, and self-starting spirit of real innovators. people who love technology and want to build the future with us. ELIGIBILITY You need to have resided in the UK for the last 5 years to be able to apply for this role NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Share this page with yourself or people you know Similar job opportunities If this job isn't the right fit for you, explore other opportunities! When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Senior Agentic & Generative AI Consultant London (Hybrid) £120,000 £150,000 + Benefits We are hiring a Senior Agentic & Generative AI Consultant to lead enterprise AI transformation programmes across complex, large-scale organisations. This is a high-impact consulting role combining AI strategy, solution architecture and hands-on delivery across Generative AI, Large Language Models (LLMs), Agentic AI and Retrieval-Augmented Generation (RAG). Key Responsibilities: Lead AI strategy and executive advisory engagements Architect enterprise-grade Generative AI and Agentic AI solutions Design multi-agent systems, orchestration frameworks and RAG pipelines Own end-to-end solution architecture from discovery to implementation Shape AI-led deal pursuits, presales and business cases Define AI operating models, governance and responsible AI frameworks Integrate AI solutions with ERP, CRM and enterprise platforms Required Experience: Strong consulting background in AI / digital transformation Deep hands-on experience with LLMs, Generative AI and RAG architectures Experience with vector databases, embeddings and orchestration frameworks Enterprise solution architecture and systems integration Executive stakeholder engagement and deal leadership Experience across cloud AI platforms (Azure AI, AWS, GCP) is highly desirable. This role suits a Principal AI Consultant, AI Architect, AI Director or AI Practice Lead looking to shape enterprise AI strategy while remaining technically hands-on. Apply now to lead cutting-edge Agentic AI and Generative AI transformation programmes.
Feb 27, 2026
Full time
Senior Agentic & Generative AI Consultant London (Hybrid) £120,000 £150,000 + Benefits We are hiring a Senior Agentic & Generative AI Consultant to lead enterprise AI transformation programmes across complex, large-scale organisations. This is a high-impact consulting role combining AI strategy, solution architecture and hands-on delivery across Generative AI, Large Language Models (LLMs), Agentic AI and Retrieval-Augmented Generation (RAG). Key Responsibilities: Lead AI strategy and executive advisory engagements Architect enterprise-grade Generative AI and Agentic AI solutions Design multi-agent systems, orchestration frameworks and RAG pipelines Own end-to-end solution architecture from discovery to implementation Shape AI-led deal pursuits, presales and business cases Define AI operating models, governance and responsible AI frameworks Integrate AI solutions with ERP, CRM and enterprise platforms Required Experience: Strong consulting background in AI / digital transformation Deep hands-on experience with LLMs, Generative AI and RAG architectures Experience with vector databases, embeddings and orchestration frameworks Enterprise solution architecture and systems integration Executive stakeholder engagement and deal leadership Experience across cloud AI platforms (Azure AI, AWS, GCP) is highly desirable. This role suits a Principal AI Consultant, AI Architect, AI Director or AI Practice Lead looking to shape enterprise AI strategy while remaining technically hands-on. Apply now to lead cutting-edge Agentic AI and Generative AI transformation programmes.
Job Title: GCP FinOps Engineer Location: Newport, UK (Hybrid) Contract Duration: 6 Months IR35 Status: Inside IR35 Role Overview We are seeking an experienced GCP FinOps Engineer to optimise cloud spend, performance, and operational efficiency across large-scale data analytics and containerised workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments. Responsibilities Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost-efficient compute. Redesign workflow orchestration pipelines for parallel execution, higher concurrency, and offloading heavy tasks to lower-cost execution environments. Analyse distributed data-processing pipelines to right-size worker types, adjust scaling thresholds, and adopt low-cost compute for batch workloads. Reduce log-processing and storage overhead through log-level standardisation, routing rules, exclusion filters, and retention optimisation. Implement storage-tiering strategies based on access patterns and enforce lifecycle rules to minimise cold data retention costs. Improve relational database performance through index tuning, connection optimisation, and instance right-sizing. Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots. Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability. Collaborate with engineering teams to embed cost-efficient architecture patterns and operational best practices. Key Skills / Knowledge 5+ years of hands-on experience in Google Cloud. Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering. Expert-level Kubernetes & GKE resource tuning. Hands-on experience with Dataflow pipelines and worker optimisation. Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator). Deep understanding of Cloud Logging, routing, sinks, and exclusion filters. Experience with Cloud Spanner autoscaling, indexing, and schema optimisation. Cloud SQL performance tuning and indexing. Ability to analyse billing data, resource consumption, and quantify cost savings. Experience using GCP Cost Explorer, Recommender API, and Billing Export. Build dashboards, alerts, and budget guardrails for cost governance. Excellent communication and stakeholder management skills. Ability to collaborate across engineering, data, and product teams. Structured problem-solving mindset; ownership-driven, proactive, and independent.
Feb 27, 2026
Contractor
Job Title: GCP FinOps Engineer Location: Newport, UK (Hybrid) Contract Duration: 6 Months IR35 Status: Inside IR35 Role Overview We are seeking an experienced GCP FinOps Engineer to optimise cloud spend, performance, and operational efficiency across large-scale data analytics and containerised workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments. Responsibilities Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost-efficient compute. Redesign workflow orchestration pipelines for parallel execution, higher concurrency, and offloading heavy tasks to lower-cost execution environments. Analyse distributed data-processing pipelines to right-size worker types, adjust scaling thresholds, and adopt low-cost compute for batch workloads. Reduce log-processing and storage overhead through log-level standardisation, routing rules, exclusion filters, and retention optimisation. Implement storage-tiering strategies based on access patterns and enforce lifecycle rules to minimise cold data retention costs. Improve relational database performance through index tuning, connection optimisation, and instance right-sizing. Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots. Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability. Collaborate with engineering teams to embed cost-efficient architecture patterns and operational best practices. Key Skills / Knowledge 5+ years of hands-on experience in Google Cloud. Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering. Expert-level Kubernetes & GKE resource tuning. Hands-on experience with Dataflow pipelines and worker optimisation. Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator). Deep understanding of Cloud Logging, routing, sinks, and exclusion filters. Experience with Cloud Spanner autoscaling, indexing, and schema optimisation. Cloud SQL performance tuning and indexing. Ability to analyse billing data, resource consumption, and quantify cost savings. Experience using GCP Cost Explorer, Recommender API, and Billing Export. Build dashboards, alerts, and budget guardrails for cost governance. Excellent communication and stakeholder management skills. Ability to collaborate across engineering, data, and product teams. Structured problem-solving mindset; ownership-driven, proactive, and independent.
Sollers Consulting is more than a consultancy and software integrator. As a company founded in 2000, our mission has been to transform the financial & insurance industries by helping them adapt to new technologies. The power of collaboration and the limitless potential of Sollers people are at the root of our success. We strive to be the best at what we do, both in the eyes of our team and our customers. We put people at the heart of every project. Join us and make Sollers be driven by you! About Underwriting: Today's insurance market is rapidly evolving, with clients and distribution partners expecting highly tailored, swift underwriting decisions. However, many insurers still rely on traditional underwriting processes that can be slow, cumbersome, and prone to errors. At Sollers, our Underwriting Competency addresses these challenges by modernizing and automating underwriting practices - empowering insurers to make more accurate, data-driven decisions, speed up policy issuance, and improve overall efficiency across the insurance value chain. About the role. You will: Take ownership of Sollers' Underwriting Competency, defining its vision, roadmap and strategic direction. Act as a trusted advisor to insurers on modern underwriting practices, supporting them in transformation initiatives, process redesign and technology modernization. Co-create high-quality presales materials, value stories, case studies, PoVs, and client presentations in partnership with the Sales and Delivery teams. Represent Sollers as an underwriting subject-matter expert during client meetings, workshops, discovery sessions and assessments. Drive the development of thought leadership content on evolving underwriting trends, data-driven decisioning, automation, and risk assessment. Evaluate and strengthen relationships with technology partners (e.g., underwriting workbenches, rule engines, pricing tools) to enhance our solution ecosystem. Support project delivery by shaping solution concepts, reviewing architecture proposals, and ensuring quality alignment with underwriting best practices. Build an internal knowledge base of frameworks, methodologies, and accelerators for underwriting transformation. Contribute to competency development by mentoring team members, running internal trainings and shaping learning paths for consultants. Collaborate with other Sollers competences (Data, Cloud, Process Automation, Integration) to design cohesive, cross-domain solutions. About the requirements. You need: Experience delivering underwriting or underwriting-technology projects in large insurers. Strong understanding of underwriting processes across commercial, retail or specialty lines. Minimum 3 years in roles such as Underwriting Consultant, Solution Architect, Product Owner, Offering Lead, or similar. Familiarity with underwriting workbenches, pricing/rating engines, orchestration platforms, or policy administration systems. Ability to translate underwriting needs into solution designs, process improvements, and target operating models. Strong analytical capabilities and ability to build underwriting-related business cases and transformation justifications. Understanding of enterprise architecture and how underwriting components integrate across distributed systems. Excellent communication skills and confidence engaging with senior stakeholders, including underwriting heads and transformation leads. Experience operating in cross-functional teams and an ability to work independently when required. A proactive, ownership-driven mindset with the ability to navigate evolving business and technology landscapes. Excellent verbal and written English skills (at least C1 level). About the wishes. Nice to haves: Experience in building or scaling underwriting teams or practices. Familiarity with cloud-native underwriting engines or hosted solutions (AWS/Azure/GCP). Experience mentoring junior colleagues or developing capability frameworks. Knowledge of risk assessment methodologies, pricing techniques, and digital underwriting tools. About our promises. We can offer: Flexible working hours and a hybrid home office model (2-3 times per week in the office) as work-life balance is crucial at Sollers. A chance to be promoted twice a year and a clearly defined career path with salary forecast. Opportunities for growth with a training budget that you can use for courses and conferences. We also provide access to an online training platform and co-fund language classes. An internal coach to guide you through the onboarding, further training and career opportunities, plus a budget to be used for your lunches together. A chance to for the planet and the community as part of Sollers Change Makers - our volunteering program. Lots of teambuilding activities, trips, hobby groups and cultural events to create a company powered by teamwork. Probably all the benefits you can think of! Our team is the heart of our company. That's why we make Sollers an excellent place to work, where employees feel welcome and comfortable. Recruitment process CV Evaluation Interviews Welcome on board! Tips & Tricks Daria, Senior Consultant My top 3 tips for an interview at Sollers are: Prepare well! Before the interview and tests, I solved some brain teasers and practiced how to present my knowledge and experience. Share your questions and thinking! When solving brain teasers & analytical questions I shared my assumptions & thoughts with the recruiter. Know the business! Get familiar with Sollers, the industry and business partners. Contact Us Do you have additional questions regarding our recruitment process or our company? Write to us and we will be happy to answer them.
Feb 27, 2026
Full time
Sollers Consulting is more than a consultancy and software integrator. As a company founded in 2000, our mission has been to transform the financial & insurance industries by helping them adapt to new technologies. The power of collaboration and the limitless potential of Sollers people are at the root of our success. We strive to be the best at what we do, both in the eyes of our team and our customers. We put people at the heart of every project. Join us and make Sollers be driven by you! About Underwriting: Today's insurance market is rapidly evolving, with clients and distribution partners expecting highly tailored, swift underwriting decisions. However, many insurers still rely on traditional underwriting processes that can be slow, cumbersome, and prone to errors. At Sollers, our Underwriting Competency addresses these challenges by modernizing and automating underwriting practices - empowering insurers to make more accurate, data-driven decisions, speed up policy issuance, and improve overall efficiency across the insurance value chain. About the role. You will: Take ownership of Sollers' Underwriting Competency, defining its vision, roadmap and strategic direction. Act as a trusted advisor to insurers on modern underwriting practices, supporting them in transformation initiatives, process redesign and technology modernization. Co-create high-quality presales materials, value stories, case studies, PoVs, and client presentations in partnership with the Sales and Delivery teams. Represent Sollers as an underwriting subject-matter expert during client meetings, workshops, discovery sessions and assessments. Drive the development of thought leadership content on evolving underwriting trends, data-driven decisioning, automation, and risk assessment. Evaluate and strengthen relationships with technology partners (e.g., underwriting workbenches, rule engines, pricing tools) to enhance our solution ecosystem. Support project delivery by shaping solution concepts, reviewing architecture proposals, and ensuring quality alignment with underwriting best practices. Build an internal knowledge base of frameworks, methodologies, and accelerators for underwriting transformation. Contribute to competency development by mentoring team members, running internal trainings and shaping learning paths for consultants. Collaborate with other Sollers competences (Data, Cloud, Process Automation, Integration) to design cohesive, cross-domain solutions. About the requirements. You need: Experience delivering underwriting or underwriting-technology projects in large insurers. Strong understanding of underwriting processes across commercial, retail or specialty lines. Minimum 3 years in roles such as Underwriting Consultant, Solution Architect, Product Owner, Offering Lead, or similar. Familiarity with underwriting workbenches, pricing/rating engines, orchestration platforms, or policy administration systems. Ability to translate underwriting needs into solution designs, process improvements, and target operating models. Strong analytical capabilities and ability to build underwriting-related business cases and transformation justifications. Understanding of enterprise architecture and how underwriting components integrate across distributed systems. Excellent communication skills and confidence engaging with senior stakeholders, including underwriting heads and transformation leads. Experience operating in cross-functional teams and an ability to work independently when required. A proactive, ownership-driven mindset with the ability to navigate evolving business and technology landscapes. Excellent verbal and written English skills (at least C1 level). About the wishes. Nice to haves: Experience in building or scaling underwriting teams or practices. Familiarity with cloud-native underwriting engines or hosted solutions (AWS/Azure/GCP). Experience mentoring junior colleagues or developing capability frameworks. Knowledge of risk assessment methodologies, pricing techniques, and digital underwriting tools. About our promises. We can offer: Flexible working hours and a hybrid home office model (2-3 times per week in the office) as work-life balance is crucial at Sollers. A chance to be promoted twice a year and a clearly defined career path with salary forecast. Opportunities for growth with a training budget that you can use for courses and conferences. We also provide access to an online training platform and co-fund language classes. An internal coach to guide you through the onboarding, further training and career opportunities, plus a budget to be used for your lunches together. A chance to for the planet and the community as part of Sollers Change Makers - our volunteering program. Lots of teambuilding activities, trips, hobby groups and cultural events to create a company powered by teamwork. Probably all the benefits you can think of! Our team is the heart of our company. That's why we make Sollers an excellent place to work, where employees feel welcome and comfortable. Recruitment process CV Evaluation Interviews Welcome on board! Tips & Tricks Daria, Senior Consultant My top 3 tips for an interview at Sollers are: Prepare well! Before the interview and tests, I solved some brain teasers and practiced how to present my knowledge and experience. Share your questions and thinking! When solving brain teasers & analytical questions I shared my assumptions & thoughts with the recruiter. Know the business! Get familiar with Sollers, the industry and business partners. Contact Us Do you have additional questions regarding our recruitment process or our company? Write to us and we will be happy to answer them.
Solution Architect - Cloud Serverless Distributed Systems AWS/Azure/GCP Location: Knutsford or Northampton (Hybrid) Join a leading tech-driven organisation as a Solution Architect , shaping and delivering modern, scalable systems that drive innovation and business transformation. What you'll do: Design and implement secure, resilient cloud and distributed solutions click apply for full job details
Feb 27, 2026
Full time
Solution Architect - Cloud Serverless Distributed Systems AWS/Azure/GCP Location: Knutsford or Northampton (Hybrid) Join a leading tech-driven organisation as a Solution Architect , shaping and delivering modern, scalable systems that drive innovation and business transformation. What you'll do: Design and implement secure, resilient cloud and distributed solutions click apply for full job details
We're seeking a Solution Lead for our Data Consultancy Business If you don't fit the above criteria exactly but are interested in working for us, get in touch anyway! - we hire people, not job specs! The Team We're Intuita - a fast growing consultancy that's making waves in both the consultancy and technology space! With our ambitious goals for 2025 and beyond, we are looking for talented individuals to complement the team of experts we already have working across our business, becoming a pivotal part of our journey, to not just meet, but continuously exceed our client expectations! Who are we seeking? Crucially we will prioritize and are ideally seeking those from the following industries: Telco, Financial Services (ideally insurance, banking and pensions) and Healthcare and /or Life Science. The Role To achieve our ambitions, we're looking to hire a Solution Lead to support and drive our client focus. Are you ready to be the technical authority behind our clients' data transformations? Intuita is looking for a Solution Lead to join our Consultancy team - designing and delivering end-to-end data solutions that are innovative, scalable, and aligned to client needs. As the Solution Lead, you are the design authority - you own the "what" we build with and for our clients. You'll have the final say on technical design decisions, ensuring we deliver the right, future-proof solutions. You will work as part of a client leadership alongside the Delivery Lead (who owns the "when") and the Client Lead (who owns the "why"). You'll define solution architectures, make critical technical decisions, and guide our technical teams. You will be the go-to technical expert for clients, leading pre-sales discovery, defining solution patterns, and providing authoritative technical leadership throughout delivery. We're seeking someone with a strong technical background in data engineering, data architecture, or a related data discipline. You should have broad experience across multiple data disciplines, with expertise in Cloud Platforms, Data Warehousing/Lakehouse design, and Data Engineering. Senior-level stakeholder management experience and the ability to explain complex technical concepts clearly are essential. You will: Define and communicate the technical and architectural visions for the solution Define and articulate solutions or architecture that balance client objectives with technical excellence Lead technical solution design from discovery through to implementation Guide delivery teams toward the right solution approach, meeting performance, scalability, security and other quality standards Lead pre-sales technical discovery and contribute to proposals Develop solution patterns, architectural standards, and reusable frameworks Identify and mitigate technical risks and dependencies A bit about you Being a consultant at Intuita means something a little different to being a consultant elsewhere, we like to hire like-minded people. We see ourselves as trusted partners to our clients and believe in transparency, quality, and integrity above all else, always pushing to deliver the best outcomes for our clients. We value collaboration and teamwork, working together to solve problems and share learnings. ️ As a Solution Lead, you'll share these values but also bring your own personality and approach to the role. We're looking for someone who will be working hands-on, client facing with the following experience and qualities: Technical Expertise: 5+ years in Data Engineering, Data Architecture, Analytics Engineering or related data disciplines Deep expertise in modern data platforms (Databricks, GCP, Snowflake, Data Factory, Azure SQL) Proven experience designing Data Lakehouse architectures (i.e. Medallion) Proficiency in SQL, Python, and data transformation tools (DBT, Spark) Strong understanding of data modelling (Kimball, 3NF, Data Vault, dimensional) Knowledge of DataOps, CI/CD, and infrastructure as code Understanding of data governance and data quality frameworks Cross-Disciplinary Experience: Experience across multiple data disciplines (Engineering, Architecture, Modelling, Analytics, Visualisation, Governance) or at least an appreciation for the role of each discipline in a data transformation programme Proven ability to lead multidisciplinary teams (Data Engineers, Analytics Engineers, Analysts, BI Developers) Consultancy & Leadership: Track record leading complex data transformation projects Senior-level stakeholder management and client-facing experience Design authority experience, making final decisions on solution design Experience in Delivery Lead and/or Client Lead capacities is highly advantageous Required Characteristics: Driven by quality and technical excellence with great attention to detail Takes ownership of complex technical challenges and finds innovative solutions Excellent communicator across technical and non-technical audiences Quick to understand client context and business landscape Pragmatic problem-solver who balances technical idealism with business reality Hands-on when needed - willing to get into the code and data, not just architect from afar The "Nice to Haves": Experience in telecommunications, healthcare, or financial services - advantageous but not essential if you can demonstrate applicable skills across industries Location: All our office locations considered: Newbury & Liverpool (UK); Šibenik, Croatia What's in it for you? Salary: £circa £75,000 - £95,000 per annum DOE (Really) flexible and remote working -we don't mind when, where or how you work; you are trusted to work in the way that suits you best. Genuine care and support for your health and wellbeing -free therapy sessions, financial education, birthday treats and much more. Incredible training and learning opportunities -you'll be surrounded by the best in the business and encouraged to keep growing. Freedom and empowerment to own problems and explore new ideas -we allow our consultants to actually be consultants, not just bodies. A supportive, friendly team -we work hard and enjoy spending time together, whether it's in-person at socials or via silly Slack conversations.
Feb 27, 2026
Full time
We're seeking a Solution Lead for our Data Consultancy Business If you don't fit the above criteria exactly but are interested in working for us, get in touch anyway! - we hire people, not job specs! The Team We're Intuita - a fast growing consultancy that's making waves in both the consultancy and technology space! With our ambitious goals for 2025 and beyond, we are looking for talented individuals to complement the team of experts we already have working across our business, becoming a pivotal part of our journey, to not just meet, but continuously exceed our client expectations! Who are we seeking? Crucially we will prioritize and are ideally seeking those from the following industries: Telco, Financial Services (ideally insurance, banking and pensions) and Healthcare and /or Life Science. The Role To achieve our ambitions, we're looking to hire a Solution Lead to support and drive our client focus. Are you ready to be the technical authority behind our clients' data transformations? Intuita is looking for a Solution Lead to join our Consultancy team - designing and delivering end-to-end data solutions that are innovative, scalable, and aligned to client needs. As the Solution Lead, you are the design authority - you own the "what" we build with and for our clients. You'll have the final say on technical design decisions, ensuring we deliver the right, future-proof solutions. You will work as part of a client leadership alongside the Delivery Lead (who owns the "when") and the Client Lead (who owns the "why"). You'll define solution architectures, make critical technical decisions, and guide our technical teams. You will be the go-to technical expert for clients, leading pre-sales discovery, defining solution patterns, and providing authoritative technical leadership throughout delivery. We're seeking someone with a strong technical background in data engineering, data architecture, or a related data discipline. You should have broad experience across multiple data disciplines, with expertise in Cloud Platforms, Data Warehousing/Lakehouse design, and Data Engineering. Senior-level stakeholder management experience and the ability to explain complex technical concepts clearly are essential. You will: Define and communicate the technical and architectural visions for the solution Define and articulate solutions or architecture that balance client objectives with technical excellence Lead technical solution design from discovery through to implementation Guide delivery teams toward the right solution approach, meeting performance, scalability, security and other quality standards Lead pre-sales technical discovery and contribute to proposals Develop solution patterns, architectural standards, and reusable frameworks Identify and mitigate technical risks and dependencies A bit about you Being a consultant at Intuita means something a little different to being a consultant elsewhere, we like to hire like-minded people. We see ourselves as trusted partners to our clients and believe in transparency, quality, and integrity above all else, always pushing to deliver the best outcomes for our clients. We value collaboration and teamwork, working together to solve problems and share learnings. ️ As a Solution Lead, you'll share these values but also bring your own personality and approach to the role. We're looking for someone who will be working hands-on, client facing with the following experience and qualities: Technical Expertise: 5+ years in Data Engineering, Data Architecture, Analytics Engineering or related data disciplines Deep expertise in modern data platforms (Databricks, GCP, Snowflake, Data Factory, Azure SQL) Proven experience designing Data Lakehouse architectures (i.e. Medallion) Proficiency in SQL, Python, and data transformation tools (DBT, Spark) Strong understanding of data modelling (Kimball, 3NF, Data Vault, dimensional) Knowledge of DataOps, CI/CD, and infrastructure as code Understanding of data governance and data quality frameworks Cross-Disciplinary Experience: Experience across multiple data disciplines (Engineering, Architecture, Modelling, Analytics, Visualisation, Governance) or at least an appreciation for the role of each discipline in a data transformation programme Proven ability to lead multidisciplinary teams (Data Engineers, Analytics Engineers, Analysts, BI Developers) Consultancy & Leadership: Track record leading complex data transformation projects Senior-level stakeholder management and client-facing experience Design authority experience, making final decisions on solution design Experience in Delivery Lead and/or Client Lead capacities is highly advantageous Required Characteristics: Driven by quality and technical excellence with great attention to detail Takes ownership of complex technical challenges and finds innovative solutions Excellent communicator across technical and non-technical audiences Quick to understand client context and business landscape Pragmatic problem-solver who balances technical idealism with business reality Hands-on when needed - willing to get into the code and data, not just architect from afar The "Nice to Haves": Experience in telecommunications, healthcare, or financial services - advantageous but not essential if you can demonstrate applicable skills across industries Location: All our office locations considered: Newbury & Liverpool (UK); Šibenik, Croatia What's in it for you? Salary: £circa £75,000 - £95,000 per annum DOE (Really) flexible and remote working -we don't mind when, where or how you work; you are trusted to work in the way that suits you best. Genuine care and support for your health and wellbeing -free therapy sessions, financial education, birthday treats and much more. Incredible training and learning opportunities -you'll be surrounded by the best in the business and encouraged to keep growing. Freedom and empowerment to own problems and explore new ideas -we allow our consultants to actually be consultants, not just bodies. A supportive, friendly team -we work hard and enjoy spending time together, whether it's in-person at socials or via silly Slack conversations.
Salary: £40k - £60k Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Work closely with cross functional teams, translating complex technical concepts into clear, accessible language for non technical audiences Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights Design and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache Airflow Build scalable data solutions leveraging cloud platforms and technologies Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting Implement best practices in data governance, security, and compliance to maintain data integrity Ensure data quality through rigorous QA processes, continuously refining and optimising data queries Develop intuitive dashboards that provide actionable insights to stakeholders Monitor and tune solution performance to enhance reliability, speed, and functionality of data systems Stay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologies Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Help cultivate a data driven culture within the organisation You Will Demonstrate: Strong proficiency in SQL and Python for handling complex data problems Experience building and optimising ETL/ELT pipelines Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Apache Airflow Experience with containerisation technologies (Docker) Ability to craft efficient and performant queries Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Familiarity with test driven development principles applied to data pipeline construction and validation Strong communications skills for translating technical concepts to non technical audiences Business requirements analysis and translation into technical specifications You may also have some of the desirable skills and experience: Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Familiarity with modern data lakehouse architectures Knowledge of legacy ETL tools like SSIS Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event based architectures) Software engineering background with SOLID principles understanding Experience with data governance tools Experience with high performance, large scale data systems Familiarity with Agile development methodologies Knowledge of recent innovations in AI/ML and GenAI Defence or Public Sector experience Consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Collaborative Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Development access to Pluralsight and LinkedIn Learning Wellness 24/7 Confidential employee assistance programme Social office parties, pizza Friday and commitment to charitable causes Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Life Assurance of 4 times base salary Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included)
Feb 27, 2026
Full time
Salary: £40k - £60k Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Work closely with cross functional teams, translating complex technical concepts into clear, accessible language for non technical audiences Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights Design and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache Airflow Build scalable data solutions leveraging cloud platforms and technologies Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting Implement best practices in data governance, security, and compliance to maintain data integrity Ensure data quality through rigorous QA processes, continuously refining and optimising data queries Develop intuitive dashboards that provide actionable insights to stakeholders Monitor and tune solution performance to enhance reliability, speed, and functionality of data systems Stay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologies Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Help cultivate a data driven culture within the organisation You Will Demonstrate: Strong proficiency in SQL and Python for handling complex data problems Experience building and optimising ETL/ELT pipelines Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Apache Airflow Experience with containerisation technologies (Docker) Ability to craft efficient and performant queries Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Familiarity with test driven development principles applied to data pipeline construction and validation Strong communications skills for translating technical concepts to non technical audiences Business requirements analysis and translation into technical specifications You may also have some of the desirable skills and experience: Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Familiarity with modern data lakehouse architectures Knowledge of legacy ETL tools like SSIS Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event based architectures) Software engineering background with SOLID principles understanding Experience with data governance tools Experience with high performance, large scale data systems Familiarity with Agile development methodologies Knowledge of recent innovations in AI/ML and GenAI Defence or Public Sector experience Consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Collaborative Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Development access to Pluralsight and LinkedIn Learning Wellness 24/7 Confidential employee assistance programme Social office parties, pizza Friday and commitment to charitable causes Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Life Assurance of 4 times base salary Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included)
Role Title: API Security Architect Location: Knutsford/Hybrid (2-3 days in the office Duration: 9 months+ Rate: £712 per day inside ir35 Role Description: We are looking for an API Security Architect to define, design, and oversee the implementation of enterprise grade API security architecture. The role ensures APIs are built securely, follow best practice standards, and align with organisational security and compliance requirements. Key Responsibilities Design end to end API security architecture across cloud and on premise environments. Define API security standards covering authentication, authorization, encryption, and threat protection. Lead architectural reviews, threat modelling, and risk assessments for API integrations. Select, architect, and optimize API gateways, WAFs, and security controls. Develop reference architectures and reusable security patterns for engineering teams. Provide security governance for API development, lifecycle management, and CI/CD practices. Partner with engineering, product, and security operations to embed secure-by-design principles. Oversee remediation strategies for API vulnerabilities and guide architecture improvements. Required Skills & Experience Proven experience in API security architecture within large-scale environments. Expertise in API gateways (Apigee, Azure API Management, Kong, Mulesoft). Strong knowledge of OAuth2.0, OIDC, JWT, mTLS, TLS, and Zero Trust principles. Deep understanding of OWASP API Security Top 10 and secure design patterns. Experience designing security controls in cloud (Azure, AWS, or GCP). Ability to create architectural artefacts (HLDs, LLDs, security patterns). Nice to Have Certifications: CISSP, CCSP, GIAC, SABSA. Experience with DevSecOps, container security, and microservices architecture. Knowledge of SIEM, API analytics, and threat intelligence. If you are interested in this role, please feel free to submit your CV
Feb 27, 2026
Full time
Role Title: API Security Architect Location: Knutsford/Hybrid (2-3 days in the office Duration: 9 months+ Rate: £712 per day inside ir35 Role Description: We are looking for an API Security Architect to define, design, and oversee the implementation of enterprise grade API security architecture. The role ensures APIs are built securely, follow best practice standards, and align with organisational security and compliance requirements. Key Responsibilities Design end to end API security architecture across cloud and on premise environments. Define API security standards covering authentication, authorization, encryption, and threat protection. Lead architectural reviews, threat modelling, and risk assessments for API integrations. Select, architect, and optimize API gateways, WAFs, and security controls. Develop reference architectures and reusable security patterns for engineering teams. Provide security governance for API development, lifecycle management, and CI/CD practices. Partner with engineering, product, and security operations to embed secure-by-design principles. Oversee remediation strategies for API vulnerabilities and guide architecture improvements. Required Skills & Experience Proven experience in API security architecture within large-scale environments. Expertise in API gateways (Apigee, Azure API Management, Kong, Mulesoft). Strong knowledge of OAuth2.0, OIDC, JWT, mTLS, TLS, and Zero Trust principles. Deep understanding of OWASP API Security Top 10 and secure design patterns. Experience designing security controls in cloud (Azure, AWS, or GCP). Ability to create architectural artefacts (HLDs, LLDs, security patterns). Nice to Have Certifications: CISSP, CCSP, GIAC, SABSA. Experience with DevSecOps, container security, and microservices architecture. Knowledge of SIEM, API analytics, and threat intelligence. If you are interested in this role, please feel free to submit your CV
Data Engineer London + 2 or 3 days work from home Circ £60,000 - £70,000 + Excellent Benefits Package A fantastic opportunity is available for a Data Engineer that enjoys working in a fast paced and collaborative team playing work environment. Our client has been expanding at a remarkable pace and have transformed their technical landscape with leading edge solutions. Having implemented a new MS Fabric based Data platform, the need is now to scale up and deliver data driven insights and strategies right across the business globally. The Data Engineer will be joining a close-knit team that is the hub of our client s global data & analytics operation. Previous experience with MS Fabric would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric. o Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions. Troubleshoot and resolve data-related issues in a timely manner. Key Experience, Skills and Knowledge: Proven 2 yrs+ experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage Proficiency in development languages suitable for intermediate-level data engineers, such as: Python / PySpark: Widely used for data manipulation, analysis, and scripting. SQL: Essential for querying and managing relational databases. Understanding of D365 F&O Data Structures is highly desirable Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Salary will be dependent on experience and expected to be in the region of £60,000 - £70,000 + an attractive benefits package including bonus scheme. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business
Feb 27, 2026
Full time
Data Engineer London + 2 or 3 days work from home Circ £60,000 - £70,000 + Excellent Benefits Package A fantastic opportunity is available for a Data Engineer that enjoys working in a fast paced and collaborative team playing work environment. Our client has been expanding at a remarkable pace and have transformed their technical landscape with leading edge solutions. Having implemented a new MS Fabric based Data platform, the need is now to scale up and deliver data driven insights and strategies right across the business globally. The Data Engineer will be joining a close-knit team that is the hub of our client s global data & analytics operation. Previous experience with MS Fabric would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric. o Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions. Troubleshoot and resolve data-related issues in a timely manner. Key Experience, Skills and Knowledge: Proven 2 yrs+ experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage Proficiency in development languages suitable for intermediate-level data engineers, such as: Python / PySpark: Widely used for data manipulation, analysis, and scripting. SQL: Essential for querying and managing relational databases. Understanding of D365 F&O Data Structures is highly desirable Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Salary will be dependent on experience and expected to be in the region of £60,000 - £70,000 + an attractive benefits package including bonus scheme. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business
Salary:£40k - £80k Methods Analytics (MA) is recruiting for a Data Engineer to join our team permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines Build highly scalable and performant data solutions leveraging cloud platforms and open-source software Develop data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our data engineering capabilities Collaborate with stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non-technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Elevate the technical capabilities of the entire data engineering team Help cultivate a data-driven culture within the organisation Establish technical standards and patterns that ensure quality and maintainability You Will Demonstrate: Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Experience mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a technical leadership capacity You may also have some of the desirable skills and experience: Experience designing and implementing data mesh or data fabric architectures Knowledge of cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Understanding of data lineage and metadata management Experience with technical project management Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent innovations in AI/ML and GenAI Defence/Public Sector consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organization Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included) Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes
Feb 27, 2026
Full time
Salary:£40k - £80k Methods Analytics (MA) is recruiting for a Data Engineer to join our team permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines Build highly scalable and performant data solutions leveraging cloud platforms and open-source software Develop data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our data engineering capabilities Collaborate with stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non-technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Elevate the technical capabilities of the entire data engineering team Help cultivate a data-driven culture within the organisation Establish technical standards and patterns that ensure quality and maintainability You Will Demonstrate: Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Experience mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a technical leadership capacity You may also have some of the desirable skills and experience: Experience designing and implementing data mesh or data fabric architectures Knowledge of cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Understanding of data lineage and metadata management Experience with technical project management Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent innovations in AI/ML and GenAI Defence/Public Sector consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organization Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included) Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes
About the Role: Grade Level (for internal use): 14 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is oriented around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, report and track its adoption. Support governance activities by maintaining accurate, up to date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. Assets, Data and Tooling Team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits . click apply for full job details
Feb 27, 2026
Full time
About the Role: Grade Level (for internal use): 14 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is oriented around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact: Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, report and track its adoption. Support governance activities by maintaining accurate, up to date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. Assets, Data and Tooling Team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits . click apply for full job details
