Lead Python Engineer Position Description Secure Innovation is part of CGI's Space, Defence and Intelligence business unit, focused primarily on the delivery of contemporary and innovative technical solutions for the government agencies most challenging problems. Our teams work alongside our clients to help them understand how to exploit technologies to maintain competitive advantage. Our systems are engineered for performance, security, reliability and scalability; built with modern CI and CD tooling and techniques. We are currently looking for an experienced Python Software Engineer to join our team - being able to think outside of the box to overcome technical challenges is essential! Your future duties and responsibilities The role offers fantastic opportunities to work on leading edge and bespoke technologies within an interesting and highly rewarding environment. We are heavily committed to developing our members and provide excellent learning and development opportunities to ensure that your knowledge and skills keep pace with the evolving technology landscape. We engender a culture of innovation, collaboration and ownership; highly motivated self-starters thrive within our organisation. Although we would like candidates to have all of the skills we need, we would consider high quality individuals who meet most of the criteria. Required qualifications to be successful in this role Mandatory requirements: At least 7 years of experience using Python for OOP and functional programming Experience of leading software development teams and mentoring of junior members Experience of unit, integration and end-to-end testing with a delivering 'quality' mindset Experience creating designs and documentation Experience of working with data processing pipelines Working knowledge of DevOps and Cloud/virtualisation Platforms A passion for learning new technologies and innovation Excellent interpersonal skills Desirable: . Experience of working on AWS Experience of working with Elastic and Kibana . Containerisation experience such as Docker, Kubernetes or OpenShift . Experience of security protocols such as PKI, TLS etc Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team-one of the largest IT and business consulting services firms in the world.
Oct 17, 2026
Full time
Lead Python Engineer Position Description Secure Innovation is part of CGI's Space, Defence and Intelligence business unit, focused primarily on the delivery of contemporary and innovative technical solutions for the government agencies most challenging problems. Our teams work alongside our clients to help them understand how to exploit technologies to maintain competitive advantage. Our systems are engineered for performance, security, reliability and scalability; built with modern CI and CD tooling and techniques. We are currently looking for an experienced Python Software Engineer to join our team - being able to think outside of the box to overcome technical challenges is essential! Your future duties and responsibilities The role offers fantastic opportunities to work on leading edge and bespoke technologies within an interesting and highly rewarding environment. We are heavily committed to developing our members and provide excellent learning and development opportunities to ensure that your knowledge and skills keep pace with the evolving technology landscape. We engender a culture of innovation, collaboration and ownership; highly motivated self-starters thrive within our organisation. Although we would like candidates to have all of the skills we need, we would consider high quality individuals who meet most of the criteria. Required qualifications to be successful in this role Mandatory requirements: At least 7 years of experience using Python for OOP and functional programming Experience of leading software development teams and mentoring of junior members Experience of unit, integration and end-to-end testing with a delivering 'quality' mindset Experience creating designs and documentation Experience of working with data processing pipelines Working knowledge of DevOps and Cloud/virtualisation Platforms A passion for learning new technologies and innovation Excellent interpersonal skills Desirable: . Experience of working on AWS Experience of working with Elastic and Kibana . Containerisation experience such as Docker, Kubernetes or OpenShift . Experience of security protocols such as PKI, TLS etc Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team-one of the largest IT and business consulting services firms in the world.
Senior/Lead Data Consultant Up to £70k base + bonus + benefits London - Permanent Role - 4x a week in the office The Role We are working with a growing data consultancy looking for a Senior/Lead Data Consultant to join its Data Infrastructure practice. You'll combine hands-on technical delivery, client engagement and mentoring , working across data engineering, modelling, BI, analytics and integrations. You'll also have the opportunity to take technical ownership of client engagements and help shape solutions from end to end. Requirements Strong background as a Senior Data Engineer, Analytics Engineer or Data Consultant . Strong SQL, data modelling and dbt experience. Experience building and supporting production data pipelines and BI solutions . Knowledge of Python, APIs, Git and cloud infrastructure , ideally AWS. Comfortable working across different technologies and client environments. Strong communication skills with the ability to engage senior client stakeholders . 2:1 or above in a STEM-related degree . What Will Make You Stand Out Previous technical or delivery leadership experience. Consultancy or strong client-facing experience. Experience across modern data stacks such as Fivetran, Databricks, dbt and Looker . A track record of mentoring and developing engineers . Someone who enjoys solving complex problems, working independently and adapting to new technologies. If you are interested in the role please apply, to follow up please message me on LinkedIn or email.
Oct 16, 2026
Full time
Senior/Lead Data Consultant Up to £70k base + bonus + benefits London - Permanent Role - 4x a week in the office The Role We are working with a growing data consultancy looking for a Senior/Lead Data Consultant to join its Data Infrastructure practice. You'll combine hands-on technical delivery, client engagement and mentoring , working across data engineering, modelling, BI, analytics and integrations. You'll also have the opportunity to take technical ownership of client engagements and help shape solutions from end to end. Requirements Strong background as a Senior Data Engineer, Analytics Engineer or Data Consultant . Strong SQL, data modelling and dbt experience. Experience building and supporting production data pipelines and BI solutions . Knowledge of Python, APIs, Git and cloud infrastructure , ideally AWS. Comfortable working across different technologies and client environments. Strong communication skills with the ability to engage senior client stakeholders . 2:1 or above in a STEM-related degree . What Will Make You Stand Out Previous technical or delivery leadership experience. Consultancy or strong client-facing experience. Experience across modern data stacks such as Fivetran, Databricks, dbt and Looker . A track record of mentoring and developing engineers . Someone who enjoys solving complex problems, working independently and adapting to new technologies. If you are interested in the role please apply, to follow up please message me on LinkedIn or email.
Come and join the Littlefish team! Work location: Remote Salary: Up to: £60,000 Must be eligible for SC Clearance (UK resident for the last 5 years) Here at Littlefish Group, we look for people who can make a real difference and become a giant slayer. As the world around us continues to change, we look for people who grab that change with optimism and excitement. These are the passionate and high performing people who enjoy and thrive on thinking outside the box. Our current employees are the giant slayers who have made Littlefish who we are today, and you will be the future employees who continue to add the drive, passion, and add to our skills and experience as we see Littlefish grow. So, if this is ticking your boxes and you are excited at the thought of working with creative, passionate, energetic, friendly people- we would love to hear from you. The role and what you'll be getting up to on a day to day basis: At Littlefish Group, we're looking for an experienced Offensive Security Consultant to join our growing cyber security practice. This is an opportunity to work alongside highly skilled security professionals, delivering a variety of penetration testing engagements for clients across multiple sectors. You'll play a key role in helping organisations strengthen their security posture through high-quality offensive security assessments, whilst continuing to develop your own technical expertise within a collaborative and supportive team environment You will be: Delivering web application and API penetration testing engagements Conducting internal and external network penetration testing Leading client-facing security assessments and technical consultancy engagements Producing detailed technical reports and presenting findings to both technical and non-technical stakeholders Supporting project scoping, proposal development and pre-sales activities Collaborating with internal teams to ensure successful project delivery Contributing to the continuous improvement of offensive security methodologies and processes Staying up to date with emerging threats, vulnerabilities and attack techniques Desirable skills and experience CREST CRT, OSCP, CRTO, OSWE, CSTM or CTM certifications Azure and/or AWS security assessment experience Secure code review experience Mobile application testing experience Research contributions or involvement with CVE submissions IoT or thick client testing experience Who you are: Hands-on experience within Offensive Security Consultancy Experience delivering web application, API and network penetration testing engagements Strong knowledge of OWASP methodologies and application security principles Technical knowledge across Windows, Linux, networking protocols and application security Experience supporting scoping activities and pre-sales engagements Excellent report writing and client communication skills Experience with at least one scripting or programming language such as JavaScript, Python, PowerShell, Rust, C++ or C# What can we offer you? Healthcare cash plan. This will give you access to online GP appointments, 24/7 access to qualified counsellors and cash back against a range of general healthcare Referral bonus scheme of £1000 when you successfully refer a friend. Access to our LinkedIn Learning platform, with over 16000 expert-led online tutorials to enhance and achieve your personal and professional goals. Casual dress policy Company Pension Scheme Company social events 25 days annual leave plus public / bank holidays Purchase of annual leave scheme Life at Littlefish: Our company values shape who we are as a business, what we stand for and how we work. Hiring people with our values at heart, is very important as we see Littlefish grow. I am High Performing- I like to raise the bar, we look at creating opportunities to increase quality and improve efficiency, we strive for service excellence. I am Passionate- We build team success and celebrate them together, I am enthusiastic and energetic, I care about the people I work with and we support one another. I Have a Can-Do Attitude - I am not afraid to step outside my comfort zone, we are not afraid to challenge status quo, we get stuff done! I am Cyber Conscious - I am vigilant, responsible, and proactive in protecting our people, customers and organisation from Cyber threats. So, if you feel like you can make a tangible difference, apply today, and join us on this journey. Here at Littlefish we aim to be somewhere everyone can be themselves. We are committed to encouraging a diverse and inclusive community where everyone irrespective of who they are, or their background, can feel equal and supported. We encourage applications from people of all backgrounds. Please get in touch if you are concerned about any difficulties you may face during your recruitment process, so we adjust accordingly. Part of our application process includes a set of ED&I (Equality, diversity and inclusion) questions. Please note, each question has a 'prefer not to say 'option).
Oct 16, 2026
Full time
Come and join the Littlefish team! Work location: Remote Salary: Up to: £60,000 Must be eligible for SC Clearance (UK resident for the last 5 years) Here at Littlefish Group, we look for people who can make a real difference and become a giant slayer. As the world around us continues to change, we look for people who grab that change with optimism and excitement. These are the passionate and high performing people who enjoy and thrive on thinking outside the box. Our current employees are the giant slayers who have made Littlefish who we are today, and you will be the future employees who continue to add the drive, passion, and add to our skills and experience as we see Littlefish grow. So, if this is ticking your boxes and you are excited at the thought of working with creative, passionate, energetic, friendly people- we would love to hear from you. The role and what you'll be getting up to on a day to day basis: At Littlefish Group, we're looking for an experienced Offensive Security Consultant to join our growing cyber security practice. This is an opportunity to work alongside highly skilled security professionals, delivering a variety of penetration testing engagements for clients across multiple sectors. You'll play a key role in helping organisations strengthen their security posture through high-quality offensive security assessments, whilst continuing to develop your own technical expertise within a collaborative and supportive team environment You will be: Delivering web application and API penetration testing engagements Conducting internal and external network penetration testing Leading client-facing security assessments and technical consultancy engagements Producing detailed technical reports and presenting findings to both technical and non-technical stakeholders Supporting project scoping, proposal development and pre-sales activities Collaborating with internal teams to ensure successful project delivery Contributing to the continuous improvement of offensive security methodologies and processes Staying up to date with emerging threats, vulnerabilities and attack techniques Desirable skills and experience CREST CRT, OSCP, CRTO, OSWE, CSTM or CTM certifications Azure and/or AWS security assessment experience Secure code review experience Mobile application testing experience Research contributions or involvement with CVE submissions IoT or thick client testing experience Who you are: Hands-on experience within Offensive Security Consultancy Experience delivering web application, API and network penetration testing engagements Strong knowledge of OWASP methodologies and application security principles Technical knowledge across Windows, Linux, networking protocols and application security Experience supporting scoping activities and pre-sales engagements Excellent report writing and client communication skills Experience with at least one scripting or programming language such as JavaScript, Python, PowerShell, Rust, C++ or C# What can we offer you? Healthcare cash plan. This will give you access to online GP appointments, 24/7 access to qualified counsellors and cash back against a range of general healthcare Referral bonus scheme of £1000 when you successfully refer a friend. Access to our LinkedIn Learning platform, with over 16000 expert-led online tutorials to enhance and achieve your personal and professional goals. Casual dress policy Company Pension Scheme Company social events 25 days annual leave plus public / bank holidays Purchase of annual leave scheme Life at Littlefish: Our company values shape who we are as a business, what we stand for and how we work. Hiring people with our values at heart, is very important as we see Littlefish grow. I am High Performing- I like to raise the bar, we look at creating opportunities to increase quality and improve efficiency, we strive for service excellence. I am Passionate- We build team success and celebrate them together, I am enthusiastic and energetic, I care about the people I work with and we support one another. I Have a Can-Do Attitude - I am not afraid to step outside my comfort zone, we are not afraid to challenge status quo, we get stuff done! I am Cyber Conscious - I am vigilant, responsible, and proactive in protecting our people, customers and organisation from Cyber threats. So, if you feel like you can make a tangible difference, apply today, and join us on this journey. Here at Littlefish we aim to be somewhere everyone can be themselves. We are committed to encouraging a diverse and inclusive community where everyone irrespective of who they are, or their background, can feel equal and supported. We encourage applications from people of all backgrounds. Please get in touch if you are concerned about any difficulties you may face during your recruitment process, so we adjust accordingly. Part of our application process includes a set of ED&I (Equality, diversity and inclusion) questions. Please note, each question has a 'prefer not to say 'option).
Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. The Engine technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Our technologists are at the very heart of Engine and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling - We're looking for a Staff Infrastructure Engineer to help us design, build and run the cloud foundations our first-in-class, cloud-native banking platform is deployed on - across multiple regions and cloud providers globally. You'll be an inquisitive engineer with an aptitude for finding clean and simple solutions to technical problems, passionate about building observable, reliable and secure systems that positively impact the wider engineering organisation. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear more from the team in our latest Blog or our case studies with Women in Tech. As a Staff Infrastructure Engineer, you will: Design, document, build and maintain scalable infrastructure on GCP Ensure the performance and reliability of cloud environments whilst measuring cost-effectiveness Embrace automation and be reluctant for manual implementation Build systems with security by design as a core foundation Ensure platform compliance with standards such as ISO 27001, SOC 2, PCI DSS and 3DS Design and operate key and secret management on GCP - Cloud KMS, Cloud External Key Manager (EKM) and Secret Manager - including support for cryptographic key ceremonies Rapidly diagnose and fix client-reported infrastructure issues while maintaining peak security and performance Write clear technical documentation and host training sessions for the team Demonstrate knowledge of new technologies and changes in the industry Lead complex infrastructure projects from inception through to run, and shape the future capabilities of Engine - our approach, tooling, automation and architecture Lead by example in your contributions, setting a high technical bar for others to aim for Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. As a Staff Infrastructure Engineer you will bring the below experience or knowledge: Proven GCP multi-region disaster recovery experience Confident at bootstrapping Google Cloud Organisations, hardening with policies and structuring an enterprise's resource hierarchy Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Network Connectivity Center, Cloud SQL, Identity and Access Management (IAM) and VPC Service Controls Experience writing clean, modular Terraform code Experience with service-oriented architecture using containers, distributed systems and immutable infrastructure Experience with key and secret management on GCP - Cloud KMS, Cloud External Key Manager (EKM) and Secret Manager - including cryptographic key ceremonies Experience designing hybrid connectivity from GCP to co-located Payment HSMs using Network Connectivity Center (NCC), Cloud VPN and Dedicated / Partner Interconnect Experience with Workload Identity and Workload Identity Federation for keyless authentication of workloads and CI/CD Experience with observability tooling - Cloud Monitoring, Cloud Logging, Cloud Trace, Managed Service for Prometheus and OpenTelemetry (we also use Grafana) Experience setting up Google Workspace / Google Cloud Identity Experience with automation using a scripting language like Python or Go Experience implementing CI/CD pipelines An understanding of RESTful API and event-driven concepts Comfortable writing RFCs and ADRs which can be taken from design to implementation and into Production with documented runbooks and operating models Ideally you also have: Experience with Zero Trust security (mTLS, SSO) Experience with AWS Comfortable with bash and either Golang, Java or Python development Understanding of database monitoring, analysis, disaster recovery and performance tuning Understanding of networking and routing concepts (TCP/IP, VLANs, VPNs, BGP, etc.) and preferably experience designing and establishing connectivity between GCP and on-premise locations Awareness/ability to leverage Claude Skills during development The main part of our tech stack is listed below. We don't ask that you have experience in all of it, but if you do, that's great! Java, which makes up the majority of our backend codebase GCP and AWS - we're cloud-native Container-based architecture Kubernetes (GKE on GCP, EKS on AWS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana RDS and CloudSQL for PostgreSQL Our Interview Process Interviewing is a two-way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial interview with an Engineer - 45 minutes Take-home technical test, to be discussed in the next interview Technical interview with some Engineers - 1.5 hours Final interview with our CTO / deputy CTO - 45 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent . click apply for full job details
Oct 15, 2026
Full time
Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. The Engine technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Our technologists are at the very heart of Engine and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling - We're looking for a Staff Infrastructure Engineer to help us design, build and run the cloud foundations our first-in-class, cloud-native banking platform is deployed on - across multiple regions and cloud providers globally. You'll be an inquisitive engineer with an aptitude for finding clean and simple solutions to technical problems, passionate about building observable, reliable and secure systems that positively impact the wider engineering organisation. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear more from the team in our latest Blog or our case studies with Women in Tech. As a Staff Infrastructure Engineer, you will: Design, document, build and maintain scalable infrastructure on GCP Ensure the performance and reliability of cloud environments whilst measuring cost-effectiveness Embrace automation and be reluctant for manual implementation Build systems with security by design as a core foundation Ensure platform compliance with standards such as ISO 27001, SOC 2, PCI DSS and 3DS Design and operate key and secret management on GCP - Cloud KMS, Cloud External Key Manager (EKM) and Secret Manager - including support for cryptographic key ceremonies Rapidly diagnose and fix client-reported infrastructure issues while maintaining peak security and performance Write clear technical documentation and host training sessions for the team Demonstrate knowledge of new technologies and changes in the industry Lead complex infrastructure projects from inception through to run, and shape the future capabilities of Engine - our approach, tooling, automation and architecture Lead by example in your contributions, setting a high technical bar for others to aim for Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. As a Staff Infrastructure Engineer you will bring the below experience or knowledge: Proven GCP multi-region disaster recovery experience Confident at bootstrapping Google Cloud Organisations, hardening with policies and structuring an enterprise's resource hierarchy Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Network Connectivity Center, Cloud SQL, Identity and Access Management (IAM) and VPC Service Controls Experience writing clean, modular Terraform code Experience with service-oriented architecture using containers, distributed systems and immutable infrastructure Experience with key and secret management on GCP - Cloud KMS, Cloud External Key Manager (EKM) and Secret Manager - including cryptographic key ceremonies Experience designing hybrid connectivity from GCP to co-located Payment HSMs using Network Connectivity Center (NCC), Cloud VPN and Dedicated / Partner Interconnect Experience with Workload Identity and Workload Identity Federation for keyless authentication of workloads and CI/CD Experience with observability tooling - Cloud Monitoring, Cloud Logging, Cloud Trace, Managed Service for Prometheus and OpenTelemetry (we also use Grafana) Experience setting up Google Workspace / Google Cloud Identity Experience with automation using a scripting language like Python or Go Experience implementing CI/CD pipelines An understanding of RESTful API and event-driven concepts Comfortable writing RFCs and ADRs which can be taken from design to implementation and into Production with documented runbooks and operating models Ideally you also have: Experience with Zero Trust security (mTLS, SSO) Experience with AWS Comfortable with bash and either Golang, Java or Python development Understanding of database monitoring, analysis, disaster recovery and performance tuning Understanding of networking and routing concepts (TCP/IP, VLANs, VPNs, BGP, etc.) and preferably experience designing and establishing connectivity between GCP and on-premise locations Awareness/ability to leverage Claude Skills during development The main part of our tech stack is listed below. We don't ask that you have experience in all of it, but if you do, that's great! Java, which makes up the majority of our backend codebase GCP and AWS - we're cloud-native Container-based architecture Kubernetes (GKE on GCP, EKS on AWS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana RDS and CloudSQL for PostgreSQL Our Interview Process Interviewing is a two-way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial interview with an Engineer - 45 minutes Take-home technical test, to be discussed in the next interview Technical interview with some Engineers - 1.5 hours Final interview with our CTO / deputy CTO - 45 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent . click apply for full job details
Lead Product Manager - API & Platforms Location: Manchester, UK, Only 1 or 2 days to office Role Overview We are looking for a Lead Product Manager to own and scale our core API platforms, backend microservices, and data tools. You will lead cross-functional engineering teams to build high-performance systems, improve developer experience, and integrate AI/data solutions across our global platform. Key Responsibilities Platform & API Strategy: Own the roadmap and backlog for core APIs and microservices, ensuring high availability, speed, and scalability. Technical & AI Execution: Work with engineers and data teams to design data models, APIs (REST/OpenAPI), recommendation engines, and AI workflows. Data Governance: Build clear data policies and frameworks across multi-market products. Agile Delivery: Write clear user stories (BDD/Gherkin), set team OKRs/KPIs, and lead sprint planning across engineering squads. Stakeholder Alignment: Bridge the gap between technical engineering teams, business leaders, and executive stakeholders. Key Requirements Experience: 8+ years as a Technical PM managing high-scale APIs, platforms, or data products. Technical Skills: Deep understanding of API design (OpenAPI/Swagger/Postman), system design, and database tools (SQL/Python basics). AI & Cloud: Exposure to cloud infrastructure (GCP/Azure/AWS) and AI/LLM integrations. Agile & Delivery: Strong experience in Scrum/Kanban, writing technical specifications, and managing delivery cadences. Domain: Experience in e-commerce, travel tech, or large-scale digital marketplaces is a plus. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Oct 15, 2026
Full time
Lead Product Manager - API & Platforms Location: Manchester, UK, Only 1 or 2 days to office Role Overview We are looking for a Lead Product Manager to own and scale our core API platforms, backend microservices, and data tools. You will lead cross-functional engineering teams to build high-performance systems, improve developer experience, and integrate AI/data solutions across our global platform. Key Responsibilities Platform & API Strategy: Own the roadmap and backlog for core APIs and microservices, ensuring high availability, speed, and scalability. Technical & AI Execution: Work with engineers and data teams to design data models, APIs (REST/OpenAPI), recommendation engines, and AI workflows. Data Governance: Build clear data policies and frameworks across multi-market products. Agile Delivery: Write clear user stories (BDD/Gherkin), set team OKRs/KPIs, and lead sprint planning across engineering squads. Stakeholder Alignment: Bridge the gap between technical engineering teams, business leaders, and executive stakeholders. Key Requirements Experience: 8+ years as a Technical PM managing high-scale APIs, platforms, or data products. Technical Skills: Deep understanding of API design (OpenAPI/Swagger/Postman), system design, and database tools (SQL/Python basics). AI & Cloud: Exposure to cloud infrastructure (GCP/Azure/AWS) and AI/LLM integrations. Agile & Delivery: Strong experience in Scrum/Kanban, writing technical specifications, and managing delivery cadences. Domain: Experience in e-commerce, travel tech, or large-scale digital marketplaces is a plus. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Senior Data Engineer - Python, Databricks & Counterparty Credit Risk Location: London - Hybrid We are recruiting for an experienced Senior Data Engineer to join a leading global banking organisation, working across a highly technical data environment supporting Counterparty Credit Risk (CCR), Credit Risk and wider risk data . This is a hands-on engineering position requiring strong expertise across Python, PySpark, SQL and Databricks , alongside experience designing, building and optimising scalable data pipelines and Lakehouse solutions. Candidates should ideally have previously worked with Counterparty Credit Risk or Credit Risk data , including areas such as counterparty/exposure data, risk analytics, regulatory risk or associated banking risk datasets. Key Responsibilities Design, develop and maintain scalable data pipelines using Python, PySpark and Databricks Build and optimise ETL/ELT workflows using Spark and Delta Lake Engineer and transform data supporting Counterparty Credit Risk, Credit Risk and wider risk functions Work with datasets relating to areas such as counterparties, credit exposures, limits, collateral and risk analytics Design robust data models and architectures across Lakehouse / Medallion environments Develop and manage Databricks notebooks, jobs and workflows Optimise large-scale distributed data processing and troubleshoot Spark performance Implement strong data quality, reconciliation, governance and monitoring controls Build reliable logging and alerting across production data pipelines Integrate data platforms with Power BI dashboards and wider applications Support CI/CD and engineering best practices across development, testing and production environments Work closely with Risk, Technology, Analytics and other senior stakeholders Required Experience 10+ years' experience across Data Engineering or closely related data disciplines Strong hands-on Python development experience Strong PySpark / Apache Spark engineering experience Extensive hands-on experience with Databricks , including notebooks, jobs/workflows and Delta Lake Advanced SQL and relational database experience Strong track record designing and building scalable ETL/ELT data pipelines Experience with Delta Lake, Lakehouse and/or Medallion architectures Experience handling banking risk data , ideally within Counterparty Credit Risk (CCR), Credit Risk, counterparty exposure or closely related risk domains Strong understanding of data modelling, data quality and production data engineering Cloud experience across Azure, AWS and/or GCP Experience with modern data platforms/warehouses such as Snowflake, BigQuery or Redshift Experience integrating data platforms with Power BI Experience with orchestration such as Databricks Workflows or Airflow Highly Desirable Direct experience engineering data for Counterparty Credit Risk , including exposure/counterparty datasets Knowledge of areas such as PFE, EPE, EAD, CVA/XVA, SA-CCR, collateral, netting or counterparty limits Previous experience within an investment bank, global bank or capital-markets environment Databricks Data Engineer certification Kafka / Structured Streaming experience Delta Lake CDC, Time Travel and optimisation CI/CD, Git and DevOps experience Docker / Kubernetes experience Experience exposing data through APIs or supporting React-based front-end applications Experience supporting analytics or ML workloads within Databricks We are particularly interested in genuinely hands-on Senior Data Engineers who can demonstrate the Databricks and Python solutions they have personally designed, built, optimised and supported in production. If you have strong Databricks, Python and PySpark engineering experience alongside exposure to Counterparty Credit Risk, Credit Risk or banking risk data , please apply for further information.
Oct 14, 2026
Full time
Senior Data Engineer - Python, Databricks & Counterparty Credit Risk Location: London - Hybrid We are recruiting for an experienced Senior Data Engineer to join a leading global banking organisation, working across a highly technical data environment supporting Counterparty Credit Risk (CCR), Credit Risk and wider risk data . This is a hands-on engineering position requiring strong expertise across Python, PySpark, SQL and Databricks , alongside experience designing, building and optimising scalable data pipelines and Lakehouse solutions. Candidates should ideally have previously worked with Counterparty Credit Risk or Credit Risk data , including areas such as counterparty/exposure data, risk analytics, regulatory risk or associated banking risk datasets. Key Responsibilities Design, develop and maintain scalable data pipelines using Python, PySpark and Databricks Build and optimise ETL/ELT workflows using Spark and Delta Lake Engineer and transform data supporting Counterparty Credit Risk, Credit Risk and wider risk functions Work with datasets relating to areas such as counterparties, credit exposures, limits, collateral and risk analytics Design robust data models and architectures across Lakehouse / Medallion environments Develop and manage Databricks notebooks, jobs and workflows Optimise large-scale distributed data processing and troubleshoot Spark performance Implement strong data quality, reconciliation, governance and monitoring controls Build reliable logging and alerting across production data pipelines Integrate data platforms with Power BI dashboards and wider applications Support CI/CD and engineering best practices across development, testing and production environments Work closely with Risk, Technology, Analytics and other senior stakeholders Required Experience 10+ years' experience across Data Engineering or closely related data disciplines Strong hands-on Python development experience Strong PySpark / Apache Spark engineering experience Extensive hands-on experience with Databricks , including notebooks, jobs/workflows and Delta Lake Advanced SQL and relational database experience Strong track record designing and building scalable ETL/ELT data pipelines Experience with Delta Lake, Lakehouse and/or Medallion architectures Experience handling banking risk data , ideally within Counterparty Credit Risk (CCR), Credit Risk, counterparty exposure or closely related risk domains Strong understanding of data modelling, data quality and production data engineering Cloud experience across Azure, AWS and/or GCP Experience with modern data platforms/warehouses such as Snowflake, BigQuery or Redshift Experience integrating data platforms with Power BI Experience with orchestration such as Databricks Workflows or Airflow Highly Desirable Direct experience engineering data for Counterparty Credit Risk , including exposure/counterparty datasets Knowledge of areas such as PFE, EPE, EAD, CVA/XVA, SA-CCR, collateral, netting or counterparty limits Previous experience within an investment bank, global bank or capital-markets environment Databricks Data Engineer certification Kafka / Structured Streaming experience Delta Lake CDC, Time Travel and optimisation CI/CD, Git and DevOps experience Docker / Kubernetes experience Experience exposing data through APIs or supporting React-based front-end applications Experience supporting analytics or ML workloads within Databricks We are particularly interested in genuinely hands-on Senior Data Engineers who can demonstrate the Databricks and Python solutions they have personally designed, built, optimised and supported in production. If you have strong Databricks, Python and PySpark engineering experience alongside exposure to Counterparty Credit Risk, Credit Risk or banking risk data , please apply for further information.
Storage Software Engineer Rate: £500 per day, Inside IR35 Location: Glasgow Working arrangement: Hybrid, minimum 3 days per week onsite in Glasgow Contract length: To confirm IR35 status: Inside IR35 Your new company You will be joining a leading global financial services organisation within its technology function. The team is seeking a multi-talented Software Developer to design and develop highly available and scalable solutions supporting enterprise storage infrastructure and associated technology. Your new role This is a development-focused role combining strong programming capability with exposure to enterprise storage and Linux environments. You will design and develop solutions used to manage large-scale storage infrastructure, including provisioning, monitoring, alerting, auditing and inventory management. You'll also contribute to the architecture and integration of storage solutions, work with third-party vendors, and develop in-house applications forming part of the wider technology platform. The role requires a minimum of 3 days per week onsite in Glasgow, with a face-to-face interview in Glasgow forming a mandatory part of the interview process. Candidates based locally or within a reasonable commuting distance are strongly preferred. Key responsibilities Design and develop highly available and scalable software solutions. Develop applications supporting storage provisioning, monitoring, alerting, auditing and inventory management. Develop in-house applications forming part of the wider technology platform. Architect and integrate storage solutions, including working with third-party vendors. Develop tools supporting problem management and preventative maintenance. Contribute to alert and capacity management solutions. Work with storage virtualisation, automation and provisioning technologies. Work with distributed and scale-out file systems and software-defined storage. Contribute to infrastructure automation and observability. Troubleshoot effectively across operating systems, networks and storage. Work collaboratively as part of a global team. Understand customer requirements and clearly communicate appropriate technical solutions. What you'll need to succeed The successful candidate will bring advanced programming capability combined with intermediate or above experience in storage and/or Linux. Essential skills and experience Strong software development experience. Advanced programming capability in Python and/or Perl. Experience with SDLC best practices on large software development projects. Good knowledge of computer science fundamentals. Strong organisational skills. Good English communication skills. Ability to prioritise multiple projects and objectives. Intermediate or above experience in storage and/or Linux. Desirable skills and experience Object-oriented programming concepts. SQL programming. Experience deploying, operating or administering Linux in an enterprise environment, particularly RHEL. Knowledge of storage technologies including Fibre Channel, iSCSI, SCSI, NFS, CIFS, POSIX and Object Storage. Knowledge of SAS, SATA, NVMe, SSD, RAID and Erasure Coding. Distributed and scale-out storage experience. Knowledge of file systems and high-availability approaches. Working knowledge of databases. Understanding of networking protocols and connectivity. Enterprise UNIX/RHEL or Windows Server architecture experience. Container experience including Red Hat OpenShift, Kubernetes or Docker. Cloud exposure across Azure, AWS or Google Cloud. Understanding of client/server and scale-out architectures. Knowledge of virtualisation, performance and capacity management. Troubleshooting skills across operating systems, networking and storage. Exposure to technologies such as NetApp 7mode/cDOT/Engenio, IBM Spectrum Scale/GPFS, HDS Storage Arrays/HCP, EMC Atmos, Brocade SAN/FOS and Veritas Storage Foundation Suite. Knowledge of Sybase or DB2. What you'll get in return £500 per day Inside IR35 Hybrid working with a minimum of 3 days per week onsite in Glasgow Contract length: To confirm Opportunity to work within a large-scale technology environment developing solutions supporting enterprise storage infrastructure. How to apply If you're interested in this opportunity, apply with your latest CV, availability and preferred location. If this role isn't quite right for you, please get in touch for a confidential discussion about similar opportunities. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Oct 08, 2026
Full time
Storage Software Engineer Rate: £500 per day, Inside IR35 Location: Glasgow Working arrangement: Hybrid, minimum 3 days per week onsite in Glasgow Contract length: To confirm IR35 status: Inside IR35 Your new company You will be joining a leading global financial services organisation within its technology function. The team is seeking a multi-talented Software Developer to design and develop highly available and scalable solutions supporting enterprise storage infrastructure and associated technology. Your new role This is a development-focused role combining strong programming capability with exposure to enterprise storage and Linux environments. You will design and develop solutions used to manage large-scale storage infrastructure, including provisioning, monitoring, alerting, auditing and inventory management. You'll also contribute to the architecture and integration of storage solutions, work with third-party vendors, and develop in-house applications forming part of the wider technology platform. The role requires a minimum of 3 days per week onsite in Glasgow, with a face-to-face interview in Glasgow forming a mandatory part of the interview process. Candidates based locally or within a reasonable commuting distance are strongly preferred. Key responsibilities Design and develop highly available and scalable software solutions. Develop applications supporting storage provisioning, monitoring, alerting, auditing and inventory management. Develop in-house applications forming part of the wider technology platform. Architect and integrate storage solutions, including working with third-party vendors. Develop tools supporting problem management and preventative maintenance. Contribute to alert and capacity management solutions. Work with storage virtualisation, automation and provisioning technologies. Work with distributed and scale-out file systems and software-defined storage. Contribute to infrastructure automation and observability. Troubleshoot effectively across operating systems, networks and storage. Work collaboratively as part of a global team. Understand customer requirements and clearly communicate appropriate technical solutions. What you'll need to succeed The successful candidate will bring advanced programming capability combined with intermediate or above experience in storage and/or Linux. Essential skills and experience Strong software development experience. Advanced programming capability in Python and/or Perl. Experience with SDLC best practices on large software development projects. Good knowledge of computer science fundamentals. Strong organisational skills. Good English communication skills. Ability to prioritise multiple projects and objectives. Intermediate or above experience in storage and/or Linux. Desirable skills and experience Object-oriented programming concepts. SQL programming. Experience deploying, operating or administering Linux in an enterprise environment, particularly RHEL. Knowledge of storage technologies including Fibre Channel, iSCSI, SCSI, NFS, CIFS, POSIX and Object Storage. Knowledge of SAS, SATA, NVMe, SSD, RAID and Erasure Coding. Distributed and scale-out storage experience. Knowledge of file systems and high-availability approaches. Working knowledge of databases. Understanding of networking protocols and connectivity. Enterprise UNIX/RHEL or Windows Server architecture experience. Container experience including Red Hat OpenShift, Kubernetes or Docker. Cloud exposure across Azure, AWS or Google Cloud. Understanding of client/server and scale-out architectures. Knowledge of virtualisation, performance and capacity management. Troubleshooting skills across operating systems, networking and storage. Exposure to technologies such as NetApp 7mode/cDOT/Engenio, IBM Spectrum Scale/GPFS, HDS Storage Arrays/HCP, EMC Atmos, Brocade SAN/FOS and Veritas Storage Foundation Suite. Knowledge of Sybase or DB2. What you'll get in return £500 per day Inside IR35 Hybrid working with a minimum of 3 days per week onsite in Glasgow Contract length: To confirm Opportunity to work within a large-scale technology environment developing solutions supporting enterprise storage infrastructure. How to apply If you're interested in this opportunity, apply with your latest CV, availability and preferred location. If this role isn't quite right for you, please get in touch for a confidential discussion about similar opportunities. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Data Engineer London/ Edinburgh 6 Month Contract Via Umbrella Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Solid understanding of data modelling , ETL/ELT processes, and performance optimization. Programming & Engineering Skills Proficiency in Python for data engineering tasks and automation. Ability to design and implement scalable, maintainable data pipelines . Experience with version control systems (e.g., Git) and collaborative development workflows. Leadership & Mentorship Ability to lead technical initiatives within the team and drive best practices. Experience in mentoring junior engineers , providing guidance on coding standards, design patterns, and career development. Comfortable with code reviews and fostering a culture of continuous improvement. Best Practices & Mindset Strong grasp of data quality principles , including validation and monitoring. Ability to read, understand, and refactor existing code effectively. Familiarity with CI/CD practices for data pipeline deployment. Comfortable working in cloud-native environments and following security/compliance standards. Nice-to-Have Exposure to streaming data architectures and event-driven systems. Knowledge of Snowflake performance tuning and cost optimization. If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
Oct 08, 2026
Full time
Data Engineer London/ Edinburgh 6 Month Contract Via Umbrella Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Solid understanding of data modelling , ETL/ELT processes, and performance optimization. Programming & Engineering Skills Proficiency in Python for data engineering tasks and automation. Ability to design and implement scalable, maintainable data pipelines . Experience with version control systems (e.g., Git) and collaborative development workflows. Leadership & Mentorship Ability to lead technical initiatives within the team and drive best practices. Experience in mentoring junior engineers , providing guidance on coding standards, design patterns, and career development. Comfortable with code reviews and fostering a culture of continuous improvement. Best Practices & Mindset Strong grasp of data quality principles , including validation and monitoring. Ability to read, understand, and refactor existing code effectively. Familiarity with CI/CD practices for data pipeline deployment. Comfortable working in cloud-native environments and following security/compliance standards. Nice-to-Have Exposure to streaming data architectures and event-driven systems. Knowledge of Snowflake performance tuning and cost optimization. If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
Introduction: Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This role is part of Saab Bluebear Business in Bedfordshire. It will be reporting into the Head of Digital Systems Engineering. In this exciting, dynamic role you will support a mixture of R&D and product development activities within a leading autonomy and unmanned systems company. Blue Bear continuously innovates within the core area of Unmanned Aerial Systems (UAS/UAV) such as flight management systems, autopilots, mission systems, ground control stations, and all supporting systems and infrastructure. Your role as a Flight Control Systems Engineer will involve developing, maintaining and testing safety critical software that contribute to the flight systems of our aircraft. You will contribute to requirements definition, and use MATLAB/Simulink tools to generate software such as novel flight control laws and data manipulation algorithms. After verification and validation performed using bespoke simulations, you will then be expected deploy the software on to the target hardware, and conduct real world flight testing at our test facility less than 1km from the office. You may be asked to present the findings of the testing in reports or customer facing presentations. As well as undertaking technical tasks, you will be expected to take an active role in the team. This will include contribution to the development of standard operating processes, continuous improvement of methods and techniques, and ensuring quality targets are satisfied. Working as part of a team in a multidisciplinary environment you will have good communication skills. A can-do attitude and a genuine passion for innovative technology. The opportunity will enable the successful candidate to gain knowledge of cutting-edge autonomous systems and offer a large scope for career development. Qualifications & Skills: Essential: Degree in aerospace engineering or similar. Understanding of aerodynamics and flight mechanics, and their impact on flight control. Experience in using MATLAB/Simulink for developing algorithms and control laws. Hands-on experience in designing and commissioning control systems. Existing SC Clearance. Desirable: Experience designing and implementing guidance, navigation and control algorithms for fixed and/or rotary wing vehicles. Knowledge of state-of-the-art for sensing systems. Hands-on experience with small UAS. Mathworks' Stateflow, Simulink Coder and Embedded Coder packages. Experience developing mathematical algorithms e.g. Data fusion, state estimation etc. Experience working with embedded systems, real-time systems, safety critical systems. Knowledge of communication systems. Version control systems e.g. git. C++, Java, Python development skills. Experience with quality standards for software (e.g. DO-178, ED-20x). As a National Security Vetting clearance is required for this role, applicants will be required to hold National Security Vetting clearance to SC level or have the ability to gain it. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Oct 08, 2026
Full time
Introduction: Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This role is part of Saab Bluebear Business in Bedfordshire. It will be reporting into the Head of Digital Systems Engineering. In this exciting, dynamic role you will support a mixture of R&D and product development activities within a leading autonomy and unmanned systems company. Blue Bear continuously innovates within the core area of Unmanned Aerial Systems (UAS/UAV) such as flight management systems, autopilots, mission systems, ground control stations, and all supporting systems and infrastructure. Your role as a Flight Control Systems Engineer will involve developing, maintaining and testing safety critical software that contribute to the flight systems of our aircraft. You will contribute to requirements definition, and use MATLAB/Simulink tools to generate software such as novel flight control laws and data manipulation algorithms. After verification and validation performed using bespoke simulations, you will then be expected deploy the software on to the target hardware, and conduct real world flight testing at our test facility less than 1km from the office. You may be asked to present the findings of the testing in reports or customer facing presentations. As well as undertaking technical tasks, you will be expected to take an active role in the team. This will include contribution to the development of standard operating processes, continuous improvement of methods and techniques, and ensuring quality targets are satisfied. Working as part of a team in a multidisciplinary environment you will have good communication skills. A can-do attitude and a genuine passion for innovative technology. The opportunity will enable the successful candidate to gain knowledge of cutting-edge autonomous systems and offer a large scope for career development. Qualifications & Skills: Essential: Degree in aerospace engineering or similar. Understanding of aerodynamics and flight mechanics, and their impact on flight control. Experience in using MATLAB/Simulink for developing algorithms and control laws. Hands-on experience in designing and commissioning control systems. Existing SC Clearance. Desirable: Experience designing and implementing guidance, navigation and control algorithms for fixed and/or rotary wing vehicles. Knowledge of state-of-the-art for sensing systems. Hands-on experience with small UAS. Mathworks' Stateflow, Simulink Coder and Embedded Coder packages. Experience developing mathematical algorithms e.g. Data fusion, state estimation etc. Experience working with embedded systems, real-time systems, safety critical systems. Knowledge of communication systems. Version control systems e.g. git. C++, Java, Python development skills. Experience with quality standards for software (e.g. DO-178, ED-20x). As a National Security Vetting clearance is required for this role, applicants will be required to hold National Security Vetting clearance to SC level or have the ability to gain it. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Python Developer - Market Risk Technology London VP Level £150,000 base + bonus Hybrid We are working with a leading global investment bank that is continuing to invest heavily in the build out of a new generation Risk Management platform . The programme is replacing and modernising legacy risk infrastructure with a scalable platform designed to support Risk Managers across multiple asset classes. Equities have already been onboarded, with further areas including FX, Fixed Income and Mortgages still to be built out. They are now looking for an experienced Python Developer with strong Market Risk knowledge to join the team and play a hands on role in the continued development of the platform. The Role You will work closely with Risk Managers and technology teams to design, build and enhance scalable risk applications, taking ownership of technically challenging problems across risk generation, calculation and analysis. The work includes: • Building high performance risk applications primarily in Python • Developing functionality as new asset classes are onboarded to the platform • Working with large position, reference and market data sets held within Snowflake • Improving the performance of distributed risk calculations • Investigating pricing and risk discrepancies between the new and legacy platforms • Working directly with Risk Managers to understand requirements and translate them into technical solutions • Supporting risk measures including VaR, Greeks, sensitivities and P&L • Helping shape a strategic platform that will ultimately support risk management across the firm What We Are Looking For The strongest candidates will combine excellent software engineering skills with genuine experience building technology within a Risk environment. You should have: • Strong commercial Python development experience • Experience developing Market Risk or closely related risk technology • Good understanding of VaR, Greeks and sensitivities • Strong database and SQL knowledge • Experience with Snowflake highly desirable • Experience building scalable or distributed applications • Understanding of financial products and their associated risk • Experience working directly with Risk Managers, Quants or Front Office stakeholders • AWS experience beneficial • C#/.NET experience would be advantageous but is not essential Experience across Equities, Fixed Income, Credit, FX or Commodities can all be relevant. Why This Role? This is not a maintenance position on an established risk system. You will be joining a major greenfield build while significant parts of the platform are still being designed and developed. With Equities already onboarded and multiple asset classes still to come, there is substantial engineering work ahead and genuine opportunity to influence how the platform evolves. It is particularly well suited to a strong Python engineer who understands the business context behind Market Risk and wants to remain hands on while working on a strategically important platform. VP Level Up to £150,000 base Total compensation circa £190,000
Oct 08, 2026
Full time
Python Developer - Market Risk Technology London VP Level £150,000 base + bonus Hybrid We are working with a leading global investment bank that is continuing to invest heavily in the build out of a new generation Risk Management platform . The programme is replacing and modernising legacy risk infrastructure with a scalable platform designed to support Risk Managers across multiple asset classes. Equities have already been onboarded, with further areas including FX, Fixed Income and Mortgages still to be built out. They are now looking for an experienced Python Developer with strong Market Risk knowledge to join the team and play a hands on role in the continued development of the platform. The Role You will work closely with Risk Managers and technology teams to design, build and enhance scalable risk applications, taking ownership of technically challenging problems across risk generation, calculation and analysis. The work includes: • Building high performance risk applications primarily in Python • Developing functionality as new asset classes are onboarded to the platform • Working with large position, reference and market data sets held within Snowflake • Improving the performance of distributed risk calculations • Investigating pricing and risk discrepancies between the new and legacy platforms • Working directly with Risk Managers to understand requirements and translate them into technical solutions • Supporting risk measures including VaR, Greeks, sensitivities and P&L • Helping shape a strategic platform that will ultimately support risk management across the firm What We Are Looking For The strongest candidates will combine excellent software engineering skills with genuine experience building technology within a Risk environment. You should have: • Strong commercial Python development experience • Experience developing Market Risk or closely related risk technology • Good understanding of VaR, Greeks and sensitivities • Strong database and SQL knowledge • Experience with Snowflake highly desirable • Experience building scalable or distributed applications • Understanding of financial products and their associated risk • Experience working directly with Risk Managers, Quants or Front Office stakeholders • AWS experience beneficial • C#/.NET experience would be advantageous but is not essential Experience across Equities, Fixed Income, Credit, FX or Commodities can all be relevant. Why This Role? This is not a maintenance position on an established risk system. You will be joining a major greenfield build while significant parts of the platform are still being designed and developed. With Equities already onboarded and multiple asset classes still to come, there is substantial engineering work ahead and genuine opportunity to influence how the platform evolves. It is particularly well suited to a strong Python engineer who understands the business context behind Market Risk and wants to remain hands on while working on a strategically important platform. VP Level Up to £150,000 base Total compensation circa £190,000
Lead Data Engineer (AI & Data Platforms) Must Be DV Clearable 5 Days Onsite Hands-on technical leadership building data and AI systems that actually work We're looking for a Lead Data Engineer to join a growing enterprise data and AI capability, playing a critical role in designing, building, and operating production-grade data platforms and AI-enabled solutions. This is not a line-management role . Instead, it is a senior, hands-on technical leadership position for someone with deep data engineering experience who leads through delivery, technical judgement, and engineering excellence rather than hierarchy. You will work across complex environments spanning legacy platforms, modern cloud services, advanced analytics, machine learning, and emerging AI technologies. The challenge isn't greenfield experimentation; it's building robust production systems, operationalising AI capabilities, improving what exists, and helping teams use data and AI safely, effectively, and at scale. We're particularly interested in engineers who have helped organisations establish the foundations for AI-led development, including data platforms, ML pipelines, governance frameworks, deployment processes, and production support models. What You'll Be Doing You'll act as a senior technical anchor for both data engineering and AI-enablement initiatives, contributing directly while guiding others through example. You will: Design, build, and enhance enterprise-scale data platforms, pipelines, and services Lead complex data engineering work end-to-end, from problem definition and exploration through build, testing, deployment, and operational support Build and maintain cloud-native data platforms that support analytics, machine learning, and AI workloads Develop robust data pipelines supporting both traditional analytics and AI/ML use cases Work directly with technical and non-technical stakeholders to translate operational problems into scalable data and AI solutions Design data models, integration patterns, and storage structures that support long-term maintainability and reusability Help establish engineering frameworks for AI-led development, including environments, CI/CD processes, testing strategies, governance controls, and deployment standards Support the operationalisation of machine learning and AI solutions into production environments Improve data sharing, onboarding of new data sources, and interoperability across teams and systems Evaluate and introduce new tools, frameworks, and technologies where they deliver genuine value Build robust, production-grade solutions rather than proofs of concept Treat metadata, lineage, observability, governance, data quality, and security as first-class engineering concerns Diagnose and resolve complex data and platform issues in challenging enterprise environments Contribute to a supportive engineering culture focused on quality, delivery, and continuous improvement What We're Looking For This role is for a genuine practitioner who enjoys doing the work and raising standards around them. Essential Experience Significant hands-on experience as a Senior or Lead Data Engineer working on complex, enterprise-scale systems Strong Python and Spark skills with evidence of building and maintaining production data pipelines Deep understanding of the full data engineering lifecycle: ingestion, transformation, storage, serving, and reuse Strong experience designing integrations across diverse data sources, platforms, and legacy environments Experience building and supporting cloud-based data platforms, preferably within AWS environments Proven experience designing scalable data models and architectures Solid understanding of data governance, security, compliance, and operational controls Experience with modern engineering practices including source control, automated testing, CI/CD, infrastructure as code, and deployment automation Ability to communicate effectively with both highly technical and non-technical stakeholders Experience supporting machine learning or AI workloads through production-grade data engineering solutions Highly Desirable Strong AWS data platform experience (S3, Glue, EMR, Redshift, Athena, Lambda, Bedrock, SageMaker or equivalent) Experience operationalising machine learning models into production environments Experience with MLOps, model deployment, model monitoring, model lifecycle management, and automated validation processes Experience supporting Generative AI solutions, including RAG architectures, vector search, LLM integration, AI orchestration, or agentic workflows Databricks experience, including Unity Catalog, MLflow, Delta Lake, Lakehouse architecture, and AI tooling Experience working within secure, regulated, or government environments Exposure to large-scale enterprise data and AI platforms If you're passionate about building enterprise-scale data platforms, enabling AI adoption, and solving genuinely difficult engineering challenges, we'd love to hear from you. Apply now. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
Oct 08, 2026
Full time
Lead Data Engineer (AI & Data Platforms) Must Be DV Clearable 5 Days Onsite Hands-on technical leadership building data and AI systems that actually work We're looking for a Lead Data Engineer to join a growing enterprise data and AI capability, playing a critical role in designing, building, and operating production-grade data platforms and AI-enabled solutions. This is not a line-management role . Instead, it is a senior, hands-on technical leadership position for someone with deep data engineering experience who leads through delivery, technical judgement, and engineering excellence rather than hierarchy. You will work across complex environments spanning legacy platforms, modern cloud services, advanced analytics, machine learning, and emerging AI technologies. The challenge isn't greenfield experimentation; it's building robust production systems, operationalising AI capabilities, improving what exists, and helping teams use data and AI safely, effectively, and at scale. We're particularly interested in engineers who have helped organisations establish the foundations for AI-led development, including data platforms, ML pipelines, governance frameworks, deployment processes, and production support models. What You'll Be Doing You'll act as a senior technical anchor for both data engineering and AI-enablement initiatives, contributing directly while guiding others through example. You will: Design, build, and enhance enterprise-scale data platforms, pipelines, and services Lead complex data engineering work end-to-end, from problem definition and exploration through build, testing, deployment, and operational support Build and maintain cloud-native data platforms that support analytics, machine learning, and AI workloads Develop robust data pipelines supporting both traditional analytics and AI/ML use cases Work directly with technical and non-technical stakeholders to translate operational problems into scalable data and AI solutions Design data models, integration patterns, and storage structures that support long-term maintainability and reusability Help establish engineering frameworks for AI-led development, including environments, CI/CD processes, testing strategies, governance controls, and deployment standards Support the operationalisation of machine learning and AI solutions into production environments Improve data sharing, onboarding of new data sources, and interoperability across teams and systems Evaluate and introduce new tools, frameworks, and technologies where they deliver genuine value Build robust, production-grade solutions rather than proofs of concept Treat metadata, lineage, observability, governance, data quality, and security as first-class engineering concerns Diagnose and resolve complex data and platform issues in challenging enterprise environments Contribute to a supportive engineering culture focused on quality, delivery, and continuous improvement What We're Looking For This role is for a genuine practitioner who enjoys doing the work and raising standards around them. Essential Experience Significant hands-on experience as a Senior or Lead Data Engineer working on complex, enterprise-scale systems Strong Python and Spark skills with evidence of building and maintaining production data pipelines Deep understanding of the full data engineering lifecycle: ingestion, transformation, storage, serving, and reuse Strong experience designing integrations across diverse data sources, platforms, and legacy environments Experience building and supporting cloud-based data platforms, preferably within AWS environments Proven experience designing scalable data models and architectures Solid understanding of data governance, security, compliance, and operational controls Experience with modern engineering practices including source control, automated testing, CI/CD, infrastructure as code, and deployment automation Ability to communicate effectively with both highly technical and non-technical stakeholders Experience supporting machine learning or AI workloads through production-grade data engineering solutions Highly Desirable Strong AWS data platform experience (S3, Glue, EMR, Redshift, Athena, Lambda, Bedrock, SageMaker or equivalent) Experience operationalising machine learning models into production environments Experience with MLOps, model deployment, model monitoring, model lifecycle management, and automated validation processes Experience supporting Generative AI solutions, including RAG architectures, vector search, LLM integration, AI orchestration, or agentic workflows Databricks experience, including Unity Catalog, MLflow, Delta Lake, Lakehouse architecture, and AI tooling Experience working within secure, regulated, or government environments Exposure to large-scale enterprise data and AI platforms If you're passionate about building enterprise-scale data platforms, enabling AI adoption, and solving genuinely difficult engineering challenges, we'd love to hear from you. Apply now. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
Senior Site Reliability Engineer (AWS CDK) Remote UK Permanent, Full Time £60,000 - £66,000 + 15% bonus VIQU has partnered with a leading UK technology organisation investing significantly in its cloud platform and engineering capability. They are looking for a Senior Site Reliability Engineer to help shape their AWS infrastructure, improve platform resilience and support the development of the wider engineering team. This is a genuinely hands-on senior role, with approximately 80% of your time focused on engineering and 20% on mentoring and supporting other engineers. As the Senior Site Reliability Engineer , you will take ownership across AWS infrastructure, automation, reliability and operational improvement while contributing to technical direction and engineering best practice. Key Responsibilities of the Senior Site Reliability Engineer Design, build and maintain scalable, secure AWS infrastructure using AWS CDK. Drive improvements across platform reliability, automation and infrastructure as code. Implement and improve CI/CD practices across the engineering environment. Enhance monitoring, observability and incident management. Improve cloud performance, resilience and operational efficiency. Work closely with engineering, architecture and delivery teams. Mentor and support engineers, promoting strong SRE and DevOps practices. Contribute to technical direction, architecture discussions and continuous improvement. Key Requirements of the Senior Site Reliability Engineer Strong commercial AWS CDK experience is essential. Candidates without AWS CDK experience cannot be considered. Proven senior-level experience across Site Reliability Engineering, Platform Engineering or DevOps. Strong hands-on AWS experience. Strong programming experience with TypeScript or Python , with TypeScript preferred. Experience building and maintaining CI/CD pipelines. Containerisation experience with Kubernetes, Amazon EKS, ECS or similar. Monitoring and observability experience using Grafana, Prometheus, OpenSearch, AppDynamics or similar. Strong understanding of cloud security, resilience and infrastructure automation. Previous experience mentoring engineers or providing technical leadership. AWS Associate certification would be advantageous but is not essential where strong AWS experience can be demonstrated. This Senior Site Reliability Engineer opportunity would suit someone who wants to remain highly technical while also having influence over engineering standards, platform reliability and the development of other engineers. Apply now to speak with VIQU IT in confidence, or contact Aaron Chiverton on the VIQU website. Know someone great? Refer them and receive up to £1,000 if successful (terms apply). For more roles, IT Recruitment on LinkedIn.
Oct 08, 2026
Full time
Senior Site Reliability Engineer (AWS CDK) Remote UK Permanent, Full Time £60,000 - £66,000 + 15% bonus VIQU has partnered with a leading UK technology organisation investing significantly in its cloud platform and engineering capability. They are looking for a Senior Site Reliability Engineer to help shape their AWS infrastructure, improve platform resilience and support the development of the wider engineering team. This is a genuinely hands-on senior role, with approximately 80% of your time focused on engineering and 20% on mentoring and supporting other engineers. As the Senior Site Reliability Engineer , you will take ownership across AWS infrastructure, automation, reliability and operational improvement while contributing to technical direction and engineering best practice. Key Responsibilities of the Senior Site Reliability Engineer Design, build and maintain scalable, secure AWS infrastructure using AWS CDK. Drive improvements across platform reliability, automation and infrastructure as code. Implement and improve CI/CD practices across the engineering environment. Enhance monitoring, observability and incident management. Improve cloud performance, resilience and operational efficiency. Work closely with engineering, architecture and delivery teams. Mentor and support engineers, promoting strong SRE and DevOps practices. Contribute to technical direction, architecture discussions and continuous improvement. Key Requirements of the Senior Site Reliability Engineer Strong commercial AWS CDK experience is essential. Candidates without AWS CDK experience cannot be considered. Proven senior-level experience across Site Reliability Engineering, Platform Engineering or DevOps. Strong hands-on AWS experience. Strong programming experience with TypeScript or Python , with TypeScript preferred. Experience building and maintaining CI/CD pipelines. Containerisation experience with Kubernetes, Amazon EKS, ECS or similar. Monitoring and observability experience using Grafana, Prometheus, OpenSearch, AppDynamics or similar. Strong understanding of cloud security, resilience and infrastructure automation. Previous experience mentoring engineers or providing technical leadership. AWS Associate certification would be advantageous but is not essential where strong AWS experience can be demonstrated. This Senior Site Reliability Engineer opportunity would suit someone who wants to remain highly technical while also having influence over engineering standards, platform reliability and the development of other engineers. Apply now to speak with VIQU IT in confidence, or contact Aaron Chiverton on the VIQU website. Know someone great? Refer them and receive up to £1,000 if successful (terms apply). For more roles, IT Recruitment on LinkedIn.
About The Role FDM is a global business and technology consultancy seeking an Application Support (Equity Derivatives) to work for our client within the Financial Services sector. This is initially a 12 month contract with the potential to extend and will be a Fully Office based role that will be based in London. Our client is looking for smart, proactive individuals who can demonstrate strong communication skills and a practical, problem-solving mindset. This is a hands on application support role within the Equity Derivatives business, offering exposure to trading systems and critical institutional workflows. Responsibilities: Provide functional and technical support for applications used by the Equity Derivatives business Monitor and maintain the health of critical systems, performing regular checks and proactive issue identification Manage and respond to production incidents, including escalation, root cause analysis, and resolution Handle change requests from development and infrastructure teams, including system and configuration updates Configure and maintain monitoring tools, and respond to system alerts in a timely manner Maintain clear and up-to-date documentation covering operational procedures and system configurations Support Business Continuity Planning activities, including participation in drills and testing Assist with IT security processes and audit requirements Contribute to or lead projects relating to: New system implementations Application upgrades Server deployments and environment improvements About You Strong Linux knowledge and command-line experience Proficiency in Python and/or Bash scripting Good working knowledge of SQL Excellent problem-solving ability with a structured approach Clear and effective communication skills, both written and verbal Ability to operate in a fast-paced, production support environment Knowledge of equity derivatives About Us FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work abroad Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field Annual leave and work-place pension
Oct 08, 2026
Full time
About The Role FDM is a global business and technology consultancy seeking an Application Support (Equity Derivatives) to work for our client within the Financial Services sector. This is initially a 12 month contract with the potential to extend and will be a Fully Office based role that will be based in London. Our client is looking for smart, proactive individuals who can demonstrate strong communication skills and a practical, problem-solving mindset. This is a hands on application support role within the Equity Derivatives business, offering exposure to trading systems and critical institutional workflows. Responsibilities: Provide functional and technical support for applications used by the Equity Derivatives business Monitor and maintain the health of critical systems, performing regular checks and proactive issue identification Manage and respond to production incidents, including escalation, root cause analysis, and resolution Handle change requests from development and infrastructure teams, including system and configuration updates Configure and maintain monitoring tools, and respond to system alerts in a timely manner Maintain clear and up-to-date documentation covering operational procedures and system configurations Support Business Continuity Planning activities, including participation in drills and testing Assist with IT security processes and audit requirements Contribute to or lead projects relating to: New system implementations Application upgrades Server deployments and environment improvements About You Strong Linux knowledge and command-line experience Proficiency in Python and/or Bash scripting Good working knowledge of SQL Excellent problem-solving ability with a structured approach Clear and effective communication skills, both written and verbal Ability to operate in a fast-paced, production support environment Knowledge of equity derivatives About Us FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work abroad Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field Annual leave and work-place pension
Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a skilled Senior Data Engineer to become an integral part of the their Data Engineering Team, spearheading the evolution of the company's data infrastructure. You will be developing sophisticated data integrations with various platforms, developing real-time data solutions, improving automation and enabling crucial business intelligence. We are seeking a Senior Data Engineer capable of taking ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will also be contributing to Cloud migration and implementing architectural solutions, as well as ensuring data quality and integrity and providing technical guidance to Juniors. The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data warehousing solutions. Agile experience is also key, as are excellent communication skills to be able to effectively communicate with both technical and non-technical stakeholders. We are keen to hear from talented Senior Data Engineer candidates from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers. Location: Manchester Salary: £60k - £80k + Pension + Benefits To apply for this position please send your CV to Nathan Warner at Noir Consulting. (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) NOIRUKTECHREC NOIRUKREC
Oct 08, 2026
Full time
Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a skilled Senior Data Engineer to become an integral part of the their Data Engineering Team, spearheading the evolution of the company's data infrastructure. You will be developing sophisticated data integrations with various platforms, developing real-time data solutions, improving automation and enabling crucial business intelligence. We are seeking a Senior Data Engineer capable of taking ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will also be contributing to Cloud migration and implementing architectural solutions, as well as ensuring data quality and integrity and providing technical guidance to Juniors. The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data warehousing solutions. Agile experience is also key, as are excellent communication skills to be able to effectively communicate with both technical and non-technical stakeholders. We are keen to hear from talented Senior Data Engineer candidates from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers. Location: Manchester Salary: £60k - £80k + Pension + Benefits To apply for this position please send your CV to Nathan Warner at Noir Consulting. (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) NOIRUKTECHREC NOIRUKREC
DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by some of the world's leading financial institutions. With ambitious plans for growth and new product launches, they are now seeking a talented DevOps Engineer to join their team in Newcastle. As a DevOps Engineer, you will be responsible for creating, maintaining, and optimising the infrastructure and pipelines that support highly complex financial software platforms. You'll work closely with developers and stakeholders, ensuring deployments are seamless, environments are robust, and systems are both secure and scalable. This is a fantastic opportunity to apply your technical expertise in a collaborative, fast-paced environment where innovation is actively encouraged. The successful candidate will bring: A 2:1 degree or above in Computer Science (or related), ideally from a top university. Strong ability in scripting with PowerShell or a similar language. Hands-on coding skills in at least one of C#, Java, or Python. Practical knowledge of automation tools such as Terraform or Ansible. Background in container platforms (e.g., Docker) with orchestration using Kubernetes or Swarm. Familiarity with system monitoring solutions (e.g., ELK, Grafana, or similar). Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity. Experience working with SQL databases, particularly Microsoft SQL Server. Comfort managing both Windows and Linux environments. The ability to communicate clearly with colleagues and clients to resolve challenges and deliver solutions. Desirable (but not essential): Working knowledge of Atlassian products such as JIRA or Bitbucket. Exposure to artifact management tools like Artifactory. Deployment automation experience with Octopus Deploy. Awareness of code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional opportunity to join a forward-thinking organisation where your contributions will directly shape the delivery of world-class FinTech products. Location: Newcastle, UK (Fully Office Based) Salary: £50,000 - £90,000 + Bonus + Benefits Applicants must be based in the UK and have the right to work in the UK. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKTECHREC NOIRUKREC
Oct 08, 2026
Full time
DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by some of the world's leading financial institutions. With ambitious plans for growth and new product launches, they are now seeking a talented DevOps Engineer to join their team in Newcastle. As a DevOps Engineer, you will be responsible for creating, maintaining, and optimising the infrastructure and pipelines that support highly complex financial software platforms. You'll work closely with developers and stakeholders, ensuring deployments are seamless, environments are robust, and systems are both secure and scalable. This is a fantastic opportunity to apply your technical expertise in a collaborative, fast-paced environment where innovation is actively encouraged. The successful candidate will bring: A 2:1 degree or above in Computer Science (or related), ideally from a top university. Strong ability in scripting with PowerShell or a similar language. Hands-on coding skills in at least one of C#, Java, or Python. Practical knowledge of automation tools such as Terraform or Ansible. Background in container platforms (e.g., Docker) with orchestration using Kubernetes or Swarm. Familiarity with system monitoring solutions (e.g., ELK, Grafana, or similar). Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity. Experience working with SQL databases, particularly Microsoft SQL Server. Comfort managing both Windows and Linux environments. The ability to communicate clearly with colleagues and clients to resolve challenges and deliver solutions. Desirable (but not essential): Working knowledge of Atlassian products such as JIRA or Bitbucket. Exposure to artifact management tools like Artifactory. Deployment automation experience with Octopus Deploy. Awareness of code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional opportunity to join a forward-thinking organisation where your contributions will directly shape the delivery of world-class FinTech products. Location: Newcastle, UK (Fully Office Based) Salary: £50,000 - £90,000 + Bonus + Benefits Applicants must be based in the UK and have the right to work in the UK. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKTECHREC NOIRUKREC
Swansea location - hybrid working model Active SC required Up to £75k DoE + 6% pension, 30 days leave Experience required in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC Role Opportunity Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex, hands-on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered. Key Responsibilities: Build and maintain scalable data platforms, pipelines and services. Develop robust Python-based data solutions using modern engineering practices. Deliver batch, streaming, ETL/ELT and data transformation solutions. Implement CI/CD, IaC and DataOps across production environments. Translate client requirements into technical solutions and measurable outcomes. Provide technical leadership and mentoring when required Key Skills Required: Python - strong hands-on development AWS / Azure - practical cloud engineering Data Engineering - pipelines, ETL/ELT and data transformation Terraform / IaC - infrastructure automation Testing - unit testing, PyTest and integration testing CI/CD & DevOps - automated deployments and production environments To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Oct 08, 2026
Full time
Swansea location - hybrid working model Active SC required Up to £75k DoE + 6% pension, 30 days leave Experience required in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC Role Opportunity Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex, hands-on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered. Key Responsibilities: Build and maintain scalable data platforms, pipelines and services. Develop robust Python-based data solutions using modern engineering practices. Deliver batch, streaming, ETL/ELT and data transformation solutions. Implement CI/CD, IaC and DataOps across production environments. Translate client requirements into technical solutions and measurable outcomes. Provide technical leadership and mentoring when required Key Skills Required: Python - strong hands-on development AWS / Azure - practical cloud engineering Data Engineering - pipelines, ETL/ELT and data transformation Terraform / IaC - infrastructure automation Testing - unit testing, PyTest and integration testing CI/CD & DevOps - automated deployments and production environments To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Senior Data Science Consultant £60k - £80k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Working Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Oct 08, 2026
Full time
Senior Data Science Consultant £60k - £80k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Working Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Manchester location - hybrid working model Active SC required Up to £75k DoE + 6% pension, 30 days leave Experience required in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC Role Opportunity Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex, hands-on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered. Key Responsibilities: Build and maintain scalable data platforms, pipelines and services. Develop robust Python-based data solutions using modern engineering practices. Deliver batch, streaming, ETL/ELT and data transformation solutions. Implement CI/CD, IaC and DataOps across production environments. Translate client requirements into technical solutions and measurable outcomes. Provide technical leadership and mentoring when required Key Skills Required: Python - strong hands-on development AWS / Azure - practical cloud engineering Data Engineering - pipelines, ETL/ELT and data transformation Terraform / IaC - infrastructure automation Testing - unit testing, PyTest and integration testing CI/CD & DevOps - automated deployments and production environments To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Oct 07, 2026
Full time
Manchester location - hybrid working model Active SC required Up to £75k DoE + 6% pension, 30 days leave Experience required in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC Role Opportunity Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex, hands-on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered. Key Responsibilities: Build and maintain scalable data platforms, pipelines and services. Develop robust Python-based data solutions using modern engineering practices. Deliver batch, streaming, ETL/ELT and data transformation solutions. Implement CI/CD, IaC and DataOps across production environments. Translate client requirements into technical solutions and measurable outcomes. Provide technical leadership and mentoring when required Key Skills Required: Python - strong hands-on development AWS / Azure - practical cloud engineering Data Engineering - pipelines, ETL/ELT and data transformation Terraform / IaC - infrastructure automation Testing - unit testing, PyTest and integration testing CI/CD & DevOps - automated deployments and production environments To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.
London customer location - hybrid working model Active SC required Up to £75k DoE + 6% pension, 30 days leave Experience required in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC Role Opportunity Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex, hands-on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered. Key Responsibilities: Build and maintain scalable data platforms, pipelines and services. Develop robust Python-based data solutions using modern engineering practices. Deliver batch, streaming, ETL/ELT and data transformation solutions. Implement CI/CD, IaC and DataOps across production environments. Translate client requirements into technical solutions and measurable outcomes. Provide technical leadership and mentoring when required Key Skills Required: Python - strong hands-on development AWS / Azure - practical cloud engineering Data Engineering - pipelines, ETL/ELT and data transformation Terraform / IaC - infrastructure automation Testing - unit testing, PyTest and integration testing CI/CD & DevOps - automated deployments and production environments To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Oct 07, 2026
Full time
London customer location - hybrid working model Active SC required Up to £75k DoE + 6% pension, 30 days leave Experience required in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC Role Opportunity Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex, hands-on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered. Key Responsibilities: Build and maintain scalable data platforms, pipelines and services. Develop robust Python-based data solutions using modern engineering practices. Deliver batch, streaming, ETL/ELT and data transformation solutions. Implement CI/CD, IaC and DataOps across production environments. Translate client requirements into technical solutions and measurable outcomes. Provide technical leadership and mentoring when required Key Skills Required: Python - strong hands-on development AWS / Azure - practical cloud engineering Data Engineering - pipelines, ETL/ELT and data transformation Terraform / IaC - infrastructure automation Testing - unit testing, PyTest and integration testing CI/CD & DevOps - automated deployments and production environments To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Bristol location - hybrid working model Active SC required Up to £75k DoE + 6% pension, 30 days leave Experience required in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC Role Opportunity Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex, hands-on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered. Key Responsibilities: Build and maintain scalable data platforms, pipelines and services. Develop robust Python-based data solutions using modern engineering practices. Deliver batch, streaming, ETL/ELT and data transformation solutions. Implement CI/CD, IaC and DataOps across production environments. Translate client requirements into technical solutions and measurable outcomes. Provide technical leadership and mentoring when required Key Skills Required: Python - strong hands-on development AWS / Azure - practical cloud engineering Data Engineering - pipelines, ETL/ELT and data transformation Terraform / IaC - infrastructure automation Testing - unit testing, PyTest and integration testing CI/CD & DevOps - automated deployments and production environments To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Oct 07, 2026
Full time
Bristol location - hybrid working model Active SC required Up to £75k DoE + 6% pension, 30 days leave Experience required in Python, AWS, Git, CI/CD, ETL, Data Pipelines, IaC Role Opportunity Join a growing public sector technology consultancy delivering digital, data and technology transformation across central government. You'll take on complex, hands-on engineering challenges, building modern data platforms that have a tangible impact on how public services are delivered. Key Responsibilities: Build and maintain scalable data platforms, pipelines and services. Develop robust Python-based data solutions using modern engineering practices. Deliver batch, streaming, ETL/ELT and data transformation solutions. Implement CI/CD, IaC and DataOps across production environments. Translate client requirements into technical solutions and measurable outcomes. Provide technical leadership and mentoring when required Key Skills Required: Python - strong hands-on development AWS / Azure - practical cloud engineering Data Engineering - pipelines, ETL/ELT and data transformation Terraform / IaC - infrastructure automation Testing - unit testing, PyTest and integration testing CI/CD & DevOps - automated deployments and production environments To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.
