40 jobs found

Job Description We're looking for an experienced Data Engineer to join our Group Technology team in Milton Keynes. You'll play a key role in delivering Connells Group Reporting Data, covering architecture, data modelling, design, and pipelines. You'll work closely with technical specialists to innovate, share ideas and continually enhance team capability. Your work will support strategic decision-making across the Group by delivering accurate, timely reporting for all brands and business units. We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office. Key Responsibilities: Apply best practices for data design, ensuring scalable, high-quality and consistent architecture and modelling. Provide timely and accurate root-cause analysis and resolution within SLA timeframes. Work with the Core Data Lead to build a unified team work plan aligned with business objectives and data initiatives. Collaborate with Reporting Engineers to define, develop and enhance the Common Data Model. Team Roles & Responsibilities: Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security. Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation-wide consistency. Apply Agile principles for iterative and collaborative development. Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation. Experience & Skills Required: Proven experience in Data Engineering, with strong hands-on experience in Python, Data Modelling, Data Warehousing . Strong background in incident resolution, requests, changes and problem-solving within SLAs. Hands-on experience with Spark, Data Architecture, SQL and Delta Lake. Cloud development experience (AWS, GCP or Azure). Working knowledge of Medallion Architecture. Demonstrated capability in implementing and supporting pipelines in demanding environments. Strong communication skills and confidence presenting ideas and technical approaches. Ability to work effectively in complex, high-pressure environments using both legacy and modern technologies. Strong analytical thinking and attention to detail. Desirable Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions. Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture. Experience with development lifecycle processes for data pipelines. STEM degree (Computer Science, Mathematics, Engineering, Physics) or equivalent practical experience. What We Offer Aviva Digicare + workplace / Car leasing and cycle to work scheme Colleague discount scheme / Perks at work / Gym discounts Life assurance / Workplace pension scheme Ongoing professional development Our Commitment to Inclusion Connells Group is an equal opportunities employer and is committed to creating a diverse, inclusive and authentic workplace. We welcome applications from all suitably qualified candidates, regardless of , race, disability, age, sexual orientation, gender identity, religion, or belief, marital status, or pregnancy and maternity status. CF00810

We are looking for a Data Consultant to join our team and work on strategic data initiatives across cloud platforms and digital transformation programmes. What you'll be doing Supporting solution architecture and technical design Building scalable, production-grade data platforms Designing modern lakehouse and ELT architectures Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape delivery roadmaps What we're looking for 2-4 years' experience in data engineering and/or analytics Client-facing or consulting experience Strong SQL and Python skills Experience with AWS, GCP or Azure Understanding of data quality, governance, observability and dimensional modelling

Key Responsibilities Design scalable, secure, and efficient data architectures Develop data platforms, data lakes/lakehouses, and ETL/ELT solutions Translate business requirements into technical solutions Create data roadmaps aligned to business objectives and regulatory requirements Collaborate with stakeholders across business and technology teams Essential Experience Proven Data Architect experience, ideally within Financial Services or a regulated industry Strong knowledge of data architecture, data modelling, and data management principles Hands-on SQL experience Experience designing modern data platforms and cloud-based solutions Knowledge of AWS, Azure, GCP and/or Snowflake Strong understanding of data governance, data quality, and data security Excellent stakeholder management and communication skills Desirable Skills Data strategy development Python or similar programming languages Experience with Power BI, Tableau, or other reporting tools Data governance and data quality tooling Agile delivery experience Leadership or mentoring experience This is an excellent opportunity to work on enterprise-scale data transformation programmes, leveraging modern cloud and AI-enabled technologies while helping organisations maximise the value of their data.

We are looking for an experienced and detail-oriented Data Management SME to support the delivery of strategic data projects within the financial services sector. You will work with business and technology stakeholders to identify data challenges, analyse requirements and deliver key data management solutions and artefacts, including data glossaries, data quality rules and data lineage. Key Requirements Strong experience in data analysis and requirements gathering . Hands-on experience with Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial services regulations and compliance , including GDPR. Excellent stakeholder management, communication and documentation skills. Ability to work effectively across both technical and non-technical teams. Desirable Experience with data architecture, data modelling, cloud platforms ( Azure, AWS or GCP ) and AI governance would be beneficial.

Cloud Architect - eDV Cleared Location: London (On-site) Salary: Up to £100,000 + Benefits Clearance: Active eDV Clearance Required To apply, email: Design Secure Cloud Solutions for Critical National Security Environments A leading organisation operating within the National Security sector is seeking an experienced Cloud Architect to support the design and delivery of secure cloud infrastructure and platforms within highly sensitive environments. This is a hands-on architecture role focused on building scalable, secure, and resilient cloud solutions that support mission-critical operations and high-side IT environments. You'll work closely with engineering, security, and delivery teams to shape cloud strategy, define technical standards, and support the deployment of modern infrastructure solutions across complex programmes. The Role As a Cloud Architect, you'll play a key role in designing and implementing secure cloud environments within a highly regulated setting. Responsibilities include: Designing secure cloud architectures for sensitive and mission-critical systems Defining infrastructure standards, patterns, and best practices Supporting cloud migration and transformation initiatives Working closely with DevOps, Infrastructure, Security, and Software Engineering teams Producing high-quality architecture documentation and technical designs Ensuring solutions align with security, compliance, and operational requirements Supporting infrastructure automation and Infrastructure as Code approaches Providing technical leadership and guidance across project teams Contributing to solution reviews, risk assessments, and governance activities Supporting the integration of cloud services within high-side IT environments Required Skills & Experience Proven experience working as a Cloud Architect within secure or enterprise environments Strong knowledge of cloud platforms such as AWS, Azure, or GCP Experience designing secure and scalable cloud-native architectures Strong understanding of networking, infrastructure, and security principles Experience with Infrastructure as Code tools such as Terraform or CloudFormation Knowledge of containerisation and orchestration technologies Experience supporting DevSecOps or CI/CD environments Ability to produce detailed technical documentation and architectural artefacts Strong stakeholder engagement and communication skills Experience working within highly regulated or security-focused environments Desirable Experience Experience within Defence, Government, or National Security programmes Exposure to high-side or classified IT environments Familiarity with Zero Trust or secure-by-design principles Knowledge of Kubernetes, Docker, or platform engineering approaches Experience contributing to technical governance and assurance activities What's On Offer Opportunity to work on high-impact national security programmes Access to complex and technically challenging environments Collaborative engineering and architecture teams Long-term programme work with modern cloud technologies Competitive salary up to £100,000 plus benefits If you hold active eDV Clearance and are interested in working on secure cloud transformation projects, please apply for immediate consideration.

Data Engineer - Data Modelling Sector: Automotive / Financial Services Programme: NextGen DevOps Rate: £470 per day Location: UK Remote IR35 status: Inside IR35 Your new company You'll be supporting a major transformation programme within a complex automotive and financial services environment.The programme will deliver both Operations and Development services and support several significant transformation initiatives, including mainframe modernisation, integration of financial services platforms with SaaS products, and transformation of the wider data landscape. Your new role As a Data Engineer / Data Modelling Specialist, you'll work closely with business and technical stakeholders to understand existing processes and data requirements and translate these into effective enterprise data solutions.A key focus will be designing and maintaining conceptual, logical and physical data models, alongside database schemas and data structures that support scalable, reliable enterprise solutions.You'll also contribute to data integration, legacy modernisation and database optimisation while working alongside architecture, engineering and development teams across the wider transformation programme. Key responsibilities Work with business and technical stakeholders to understand business processes and data requirements. Translate business requirements into enterprise data solutions and database designs. Design and maintain conceptual, logical and physical data models. Design and develop enterprise database schemas and data structures. Build and maintain enterprise data solutions and integrations. Optimise databases and data solutions for performance, scalability and reliability. Support the transformation and modernisation of legacy data environments. Contribute to data integration between enterprise applications, SaaS platforms and other systems. Maintain appropriate standards across data quality, governance and performance. Work alongside architecture, engineering and development teams across the wider programme. What you'll need to succeed Essential skills and experience You'll need strong commercial experience across: Enterprise data modelling and database design Conceptual, logical and physical data modelling Database schema design and development Understanding complex business processes and translating requirements into data models and technical solutions SQL Relational database technologies, such as: PostgreSQL DB2 SQL Server Oracle Building and maintaining enterprise data solutions Data integration and transformation Database performance and optimisation Data quality and governance Working directly with business stakeholders to gather and translate data requirements Desirable skills and experience Additional experience across the following would be advantageous: AWS and cloud data AWS Aurora PostgreSQL AWS Database Migration Service (DMS) Snowflake Azure Google Cloud Platform (GCP) Data integration and engineering Informatica Talend Apache Airflow Python for data processing and automation Data warehouse design and optimisation APIs and event-driven architecture REST APIs GraphQL Apache Kafka Event-driven architectures DevOps / infrastructure Terraform Docker Kubernetes Experience working within regulated or complex enterprise environments, including Financial Services, Government, Healthcare or Logistics, would also be beneficial.Experience supporting legacy modernisation or large-scale data transformation programmes would be particularly relevant. 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

About the job you're considering We are looking for an experienced Senior Full Stack Developer to join our Experience Engineering team and help create high-quality digital products and services for our clients. This is a hands-on engineering role with real technical influence. You ll work across frontend and backend technologies, collaborating with product, UX, architecture, engineering and client stakeholders to turn user and business needs into secure, scalable, accessible and maintainable solutions. You ll help shape technical decisions while remaining close to the code and taking ownership throughout the software development lifecycle. You ll join multidisciplinary teams working on complex digital challenges, where you ll have the opportunity to lead technical delivery, solve difficult engineering problems, mentor other developers and help raise engineering standards. You won t be expected to know every technology. We re looking for someone with strong engineering fundamentals, good technical judgement and the ability to learn and adapt as projects and technologies change. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role As a Senior Full Stack Developer, you ll combine hands-on software engineering with technical leadership. You ll take ownership of complex features and services, contribute to architectural decisions and help teams deliver reliable, maintainable software. You ll: Design, build, test, deploy and support production-grade applications across frontend and backend technologies. Take ownership of complex features and services across the software development lifecycle, from technical discovery and design through to deployment and production support. Work with Product Owners, UX Designers, Architects, Engineers and client stakeholders to turn user and business requirements into effective technical solutions. Help shape application architecture, APIs, integration patterns, data flows and cloud solutions, making pragmatic technical decisions and explaining the trade-offs involved. Build responsive, accessible and performant user experiences using modern frontend engineering approaches. Develop backend services and APIs that are secure, scalable, resilient and maintainable. Champion engineering quality through automated testing, code review, secure development, CI/CD, observability and effective production support. Lead technical discussions and code reviews, helping teams make good engineering decisions and navigate complex technical problems. Mentor and support other developers through pairing, coaching, knowledge sharing and constructive technical feedback. Contribute reusable patterns, components and approaches that improve engineering quality and developer experience across the wider team. Explore appropriate uses of AI-assisted engineering and automation to improve productivity and software quality, following relevant client and Capgemini policies and approvals. You can bring your whole self to work. At Capgemini, stiving for equity, diversity and inclusion is part of everyday life, and will be part of your working reality. We have built an inclusive and welcoming environment, for everyone. Your skills and experience We re interested in experienced engineers who can demonstrate strong software engineering judgement and end-to-end delivery, rather than candidates who simply match a checklist of technologies. You ll bring: Strong commercial experience delivering production software across the full stack, with depth in modern JavaScript and TypeScript engineering. Strong hands-on experience with Node.js and one or more modern frontend technologies such as React, Angular or Vue. Experience designing and developing APIs and backend services, using approaches such as REST or GraphQL. Experience taking software through the full development lifecycle, including design, implementation, automated testing, deployment, monitoring and support. A strong understanding of software design, architecture patterns, code quality, security and maintainability. Experience working with cloud platforms such as Azure, AWS or GCP, alongside modern CI/CD and DevOps practices. Good knowledge of frontend engineering principles including responsive design, accessibility, performance and component-based development. Experience diagnosing complex technical problems and making pragmatic engineering decisions where there are competing requirements or constraints. Experience working collaboratively with architecture, product, UX and engineering disciplines and communicating technical choices clearly to both technical and non-technical stakeholders. Experience mentoring or supporting other engineers and helping improve engineering practices within a team. The ability to learn unfamiliar technologies, understand how systems fit together and select appropriate solutions rather than being tied to a particular framework. An interest in using AI-assisted development and automation responsibly to improve engineering productivity and quality, subject to appropriate client and Capgemini policies and approvals. Experience in some of the following would also be valuable: design systems and component libraries; distributed or event-driven architectures; microservices; cloud-native engineering; infrastructure as code; observability; mobile or cross-platform development; or AI-enabled products. Your Security Clearance To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. What does 'Get The Future You Want' mean to you? You will be empowered to explore, innovate, and progress. You will benefit from Capgemini s learning for life mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. You ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do. You ll be joining a professional community of experts, who have got your back and will support you, every step of the way. You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Why you should consider Capgemini Growing clients businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what s possible. It s why, together, we seek out opportunities that will transform the world s leading businesses, and it s how you ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you ll build the skills you want. You ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Get the future you want

SENIOR PYTHON / DATA ENGINEER - SC CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR AN SC CLEARED PYTHON ENGINEER WITH DATA ENGINEERING EXPERIENCE Salary: Up to £75,000 Location: London Working Pattern: Hybrid Clearance: SC Clearance required to start Type: Permanent I'm currently working with a leading technology consultancy delivering a range of complex digital and data projects across the public sector. They're looking for a Senior Python / Data Engineer to join their growing engineering team in London. This role could be a great fit for someone from a strong backend Python / software engineering background who has experience working with data, cloud platforms or data-intensive applications. You don't need to have worked across every area of data engineering - strong software engineering fundamentals are key. THE ROLE You'll work as a hands-on senior engineer, designing and building modern data platforms, services and applications for public sector clients. You'll be involved across the engineering lifecycle, working with Python, cloud technologies, data pipelines and modern software engineering practices. You'll also have the opportunity to work closely with clients and support the development of other engineers. Key responsibilities Developing high-quality, production-ready Python applications and services Building and maintaining data pipelines, including ETL/ELT and batch/streaming workloads Working with cloud platforms including AWS, Azure or GCP Designing and integrating APIs, databases and data services Applying software engineering principles including SOLID, DRY and TDD Using Git and CI/CD pipelines to maintain code quality and support deployments Working with data transformation, cleansing and standardisation Supporting modern data architectures including data lakes and data warehouses Using Terraform / Infrastructure as Code to build and manage environments Implementing logging, monitoring and alerting across production systems Working with technologies such as Pandas, Pydantic, Airflow, AWS Glue, Docker, JSON and Parquet Working alongside data scientists, engineers and multidisciplinary delivery teams Supporting and mentoring other engineers and sharing technical knowledge WHAT WE'RE LOOKING FOR We're particularly interested in engineers with: Strong commercial experience with Python A solid understanding of backend / software engineering principles Experience working with AWS, Azure or GCP Experience with Git, CI/CD and automated testing Knowledge of databases and data processing Experience building or working with APIs, services or data pipelines Understanding of ETL/ELT and data engineering principles Experience with Terraform or another Infrastructure as Code tool Experience working in modern Agile engineering environments Strong communication skills and the ability to work with technical and non-technical stakeholders Active SC Clearance DESIRABLE Airflow or AWS Glue Pandas / Pydantic Docker Data lakes / data warehouses Batch and streaming systems Data quality and schema management Experience productionising machine learning or data science solutions Consultancy experience Public sector experience Pair programming / mob programming Experience working within multidisciplinary technology teams You don't need to tick every box. If you're a strong Senior Python / Backend Engineer with some experience around data, cloud or data platforms, I'd still be keen to speak with you. To apply, send your CV to

SENIOR PYTHON SOFTWARE ENGINEER - SC / DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE Salary: Up to £100,000 base Location: London Working Pattern: Hybrid - 2-4 days per week on-site Clearance: Active SC or DV Type: Permanent I'm currently working with an organisation delivering innovative AI and software solutions within the UK Defence sector, who are looking for a strong Python Backend Engineer with knowledge of machine learning to join their growing team. THE ROLE This is a hands-on engineering role focused on building scalable backend applications, services and infrastructure that support AI and machine learning solutions. You'll work alongside data scientists and other engineers to turn ML capabilities into reliable, production-ready software, with a focus on software engineering rather than developing models from scratch. Responsibilities include: Designing, developing and maintaining scalable backend applications and services using Python. Building APIs, integrations and software infrastructure to support AI and machine learning solutions. Working alongside data scientists to integrate and operationalise ML models within production systems. Developing reusable software components and tools to improve the delivery of AI-enabled applications. Working with cloud platforms such as AWS, Azure or GCP. Using Docker and Kubernetes to build, deploy and manage applications at scale. Contributing to software architecture, technical design and engineering best practices. Making technical decisions to ensure solutions are scalable, secure and maintainable. Collaborating with engineers, data scientists and client stakeholders to deliver complex technical projects. WHAT THEY'RE LOOKING FOR Strong commercial experience developing backend applications and services using Python. Solid software engineering fundamentals, including clean code, testing and maintainable system design. Experience building APIs, integrations and scalable software systems. Knowledge of machine learning concepts and an understanding of how ML models are deployed and used in production. Experience working with ML-enabled applications or integrating models built using frameworks such as Scikit-learn, TensorFlow or PyTorch. Experience with cloud platforms such as AWS, Azure or GCP. Familiarity with Docker, Kubernetes and modern software deployment practices. An understanding of infrastructure, application security and production environments. Strong problem-solving skills and the ability to collaborate with multidisciplinary teams. Active SC or DV security clearance. INTERESTED? If you're an SC or DV-cleared Python Backend Engineer with strong software engineering skills and knowledge of machine learning, get in touch to discuss the opportunity. To apply, please send over your latest CV.

SENIOR PYTHON / DATA ENGINEER - SC CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR AN SC CLEARED PYTHON ENGINEER WITH DATA ENGINEERING EXPERIENCE Salary: Up to £75,000 Location: Cardiff Working Pattern: Hybrid Clearance: SC Clearance required to start Type: Permanent I'm currently working with a leading technology consultancy delivering a range of complex digital and data projects across the public sector. They're looking for a Senior Python / Data Engineer to join their growing engineering team in Cardiff. This role could be a great fit for someone from a strong backend Python / software engineering background who has experience working with data, cloud platforms or data-intensive applications. You don't need to have worked across every area of data engineering - strong software engineering fundamentals are key. THE ROLE You'll work as a hands-on senior engineer, designing and building modern data platforms, services and applications for public sector clients. You'll be involved across the engineering lifecycle, working with Python, cloud technologies, data pipelines and modern software engineering practices. You'll also have the opportunity to work closely with clients and support the development of other engineers. Key responsibilities Developing high-quality, production-ready Python applications and services Building and maintaining data pipelines, including ETL/ELT and batch/streaming workloads Working with cloud platforms including AWS, Azure or GCP Designing and integrating APIs, databases and data services Applying software engineering principles including SOLID, DRY and TDD Using Git and CI/CD pipelines to maintain code quality and support deployments Working with data transformation, cleansing and standardisation Supporting modern data architectures including data lakes and data warehouses Using Terraform / Infrastructure as Code to build and manage environments Implementing logging, monitoring and alerting across production systems Working with technologies such as Pandas, Pydantic, Airflow, AWS Glue, Docker, JSON and Parquet Working alongside data scientists, engineers and multidisciplinary delivery teams Supporting and mentoring other engineers and sharing technical knowledge WHAT WE'RE LOOKING FOR We're particularly interested in engineers with: Strong commercial experience with Python A solid understanding of backend / software engineering principles Experience working with AWS, Azure or GCP Experience with Git, CI/CD and automated testing Knowledge of databases and data processing Experience building or working with APIs, services or data pipelines Understanding of ETL/ELT and data engineering principles Experience with Terraform or another Infrastructure as Code tool Experience working in modern Agile engineering environments Strong communication skills and the ability to work with technical and non-technical stakeholders Active SC Clearance DESIRABLE Airflow or AWS Glue Pandas / Pydantic Docker Data lakes / data warehouses Batch and streaming systems Data quality and schema management Experience productionising machine learning or data science solutions Consultancy experience Public sector experience Pair programming / mob programming Experience working within multidisciplinary technology teams You don't need to tick every box. If you're a strong Senior Python / Backend Engineer with some experience around data, cloud or data platforms, I'd still be keen to speak with you. To apply, send your CV to

SENIOR PYTHON / DATA ENGINEER - SC CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR AN SC CLEARED PYTHON ENGINEER WITH DATA ENGINEERING EXPERIENCE Salary: Up to £75,000 Location: Manchester Working Pattern: Hybrid Clearance: SC Clearance required to start Type: Permanent I'm currently working with a leading technology consultancy delivering a range of complex digital and data projects across the public sector. They're looking for a Senior Python / Data Engineer to join their growing engineering team in Manchester. This role could be a great fit for someone from a strong backend Python / software engineering background who has experience working with data, cloud platforms or data-intensive applications. You don't need to have worked across every area of data engineering - strong software engineering fundamentals are key. THE ROLE You'll work as a hands-on senior engineer, designing and building modern data platforms, services and applications for public sector clients. You'll be involved across the engineering lifecycle, working with Python, cloud technologies, data pipelines and modern software engineering practices. You'll also have the opportunity to work closely with clients and support the development of other engineers. Key responsibilities Developing high-quality, production-ready Python applications and services Building and maintaining data pipelines, including ETL/ELT and batch/streaming workloads Working with cloud platforms including AWS, Azure or GCP Designing and integrating APIs, databases and data services Applying software engineering principles including SOLID, DRY and TDD Using Git and CI/CD pipelines to maintain code quality and support deployments Working with data transformation, cleansing and standardisation Supporting modern data architectures including data lakes and data warehouses Using Terraform / Infrastructure as Code to build and manage environments Implementing logging, monitoring and alerting across production systems Working with technologies such as Pandas, Pydantic, Airflow, AWS Glue, Docker, JSON and Parquet Working alongside data scientists, engineers and multidisciplinary delivery teams Supporting and mentoring other engineers and sharing technical knowledge WHAT WE'RE LOOKING FOR We're particularly interested in engineers with: Strong commercial experience with Python A solid understanding of backend / software engineering principles Experience working with AWS, Azure or GCP Experience with Git, CI/CD and automated testing Knowledge of databases and data processing Experience building or working with APIs, services or data pipelines Understanding of ETL/ELT and data engineering principles Experience with Terraform or another Infrastructure as Code tool Experience working in modern Agile engineering environments Strong communication skills and the ability to work with technical and non-technical stakeholders Active SC Clearance DESIRABLE Airflow or AWS Glue Pandas / Pydantic Docker Data lakes / data warehouses Batch and streaming systems Data quality and schema management Experience productionising machine learning or data science solutions Consultancy experience Public sector experience Pair programming / mob programming Experience working within multidisciplinary technology teams You don't need to tick every box. If you're a strong Senior Python / Backend Engineer with some experience around data, cloud or data platforms, I'd still be keen to speak with you. To apply, send your CV to

AI Software Engineer - UKSV DV Cleared NEW PERMANENT OPPORTUNITY AVAILABLE FOR AN AI SOFTWARE ENGINEER WITH DV CLEARANCE Salary : Up to £130,000 Location : London Working Pattern: Hybrid Clearance : Active UKSV DV To Apply, email : I'm currently working with a leading AI organisation operating within the National Security space, who are looking for an experienced AI Software Engineer to join their team. This is an opportunity to work on technically challenging projects, focusing on building, deploying and scaling machine learning systems in production environments. The role is heavily focused on Python software engineering, ML deployment and cloud infrastructure, working alongside engineers, data scientists and technical stakeholders to deliver robust, production-grade solutions for complex client challenges. THE ROLE You'll play a key role in taking machine learning models from development into production, building the software, tools and infrastructure required to deploy and operate ML systems reliably at scale. Working across software engineering, cloud architecture and machine learning operations, you'll help develop reusable solutions, influence technical decisions and establish best practices for deploying machine learning in production environments. You'll also work directly with clients and cross-functional teams, helping shape technical solutions, assess feasibility and ensure successful delivery. WHAT YOU'LL BE DOING Building and deploying production-grade machine learning software, tools and infrastructure. Developing reusable, scalable solutions to accelerate the delivery of ML systems. Operationalising machine learning models built using frameworks such as Scikit-learn, TensorFlow or PyTorch. Working across cloud platforms and infrastructure, including architecture and security considerations. Using Docker and Kubernetes to build, deploy and manage applications at scale. Contributing to technical scoping, software architecture and engineering best practices. Collaborating with software engineers, data scientists and commercial teams to solve complex client challenges. Advising customers and partners on technical approaches, translating complex concepts for non-technical stakeholders. Helping define standards and best practices for deploying machine learning systems at scale. WHAT I'M LOOKING FOR Strong Python development skills and a solid understanding of software engineering best practices. Experience taking machine learning models from development through to production. Understanding of the full machine learning lifecycle and experience operationalising models built with frameworks such as Scikit-learn, TensorFlow or PyTorch. Hands-on experience with cloud platforms such as AWS, Azure or GCP, including infrastructure, architecture and security. Experience with Docker and Kubernetes. A sound understanding of core machine learning concepts, including probability, statistics and common learning techniques. Strong communication skills, with the ability to advise technical teams and engage confidently with non-technical stakeholders. The ability to take ownership of technical scope, make informed decisions and deliver solutions in a fast-paced environment. Active UKSV DV clearance. THE OPPORTUNITY You'll join a team working at the intersection of software engineering and machine learning, helping bring ML systems into real-world use across critical client environments. This is a strong opportunity for a software engineer with hands-on ML deployment experience who enjoys solving complex technical problems, building scalable infrastructure and taking ownership of production-grade solutions.

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, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application . click apply for full job details

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. 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 Senior 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 Senior 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 Senior 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 . click apply for full job details

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 - As a Security Engineer at Engine, you'll be working on helping to keep our infrastructure secure and compliant and our staff safe and productive. You'll be working on projects covering identity and access management, cloud and network security, vulnerability management, security monitoring, security hardening, compliance reviews, and more. It's a very varied role with lots of close interaction with the infrastructure, security engineering, cross-cutting and compliance teams. We are looking for an experienced Senior level GCP Security Engineer to join our established Security Engineering team, working closely with Information Security, Infrastructure and the various Engine Technology teams to make sure security is at the heart of all our technical processes. As our subject matter expert, you will take ownership of engineering the security foundations of our Google Cloud Platform environment. This is a hands-on role for a specialist with a proven track record of designing, building, and automating security controls specifically for GCP, including hardened GKE clusters. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest Blog or our case studies with Women in Tech. As a GCP Security Engineer, you will: Collaborate with stakeholders to define our Google Cloud security architecture (cloud identity, runtime security, security posture) Design, document, build and maintain a secure and scalable infrastructure on GCP using Infrastructure as Code Be part of the team responsible for safeguarding our systems, applications and data by ensuring secure user access, authentication and authorisation mechanisms are in place Engineer and automate technical controls within GCP to ensure and demonstrate continuous compliance with stringent standards such as PCI DSS and 3DS Drive security infrastructure deployments across our growing environments Perform regular security assessments, audits, threat modelling and architecture design reviews to identify risks and vulnerabilities, triage found risks, identify improvements appropriately and design controls to implement as corrective actions Lead incident response efforts, including investigation and remediation of security breaches Support our internal security awareness and training programs, advocating the DevSecOps mindset that we have created across our technology teams 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 have an innate passion for security and care enough to find elegant solutions to difficult problems, we'd love to hear from you. What skills are essential: Mature understanding of cloud security architecture, with deep expertise in GCP and a proven track record Experience creating a GCP landing zone, configuring services such as organisation policies and VPC Service Controls A deep understanding of GCP IAM and its limitations Experience with service-oriented architecture using containers, distributed systems and immutable infrastructure on GCP (including GKE, Compute Engine, Shared VPC and Cloud SQL) Expertise in Kubernetes, securing clusters (GKE) and meshes (Cilium is preferable), networking best practices and RBAC implementation (CKA, CKS qualifications are a plus) Experience with Infrastructure as Code and infrastructure provisioning tools, particularly Terraform Experience configuring GCP-native security posture and threat management with Security Command Center Experience securing the software supply chain with Binary Authorization, Artifact Registry and Artifact Analysis Experience with key and secret management on GCP - Cloud KMS, Cloud External Key Manager (EKM) and Secret Manager - including cryptographic key ceremonies Experience with Workload Identity and Workload Identity Federation for keyless authentication of workloads and CI/CD Experience configuring and utilising cloud-native security logging, monitoring and detection services Strong programming skills - in security we write our own scripts for automation in Python, Go and other languages while contributing to open-source tools so we can utilise them In-depth knowledge of security principles, technologies, best practices, and threat detection and mitigation strategies Knowledge of common attack vectors and methodologies (OWASP Top 10, MITRE ATT&CK Framework and social engineering tactics) The ability to identify potential threats, attack vectors and vulnerabilities in systems and applications The ability to document security requirements from various stakeholders Excellent problem-solving, communication and active listening skills with an innate passion for security The ability to identify security gaps and create solutions to minimise risk and impact to us A proactive approach to staying updated with the latest security threats, vulnerabilities and mitigation techniques Thorough understanding of the incident response process (preparation, identification, containment, eradication, recovery, lessons learned) What skills are desirable: In-depth knowledge of network security, including core routing and switching concepts (TCP/IP, BGP, VPNs), security controls (firewalls, WAFs, IDS/IPS), and practical experience designing hybrid connectivity between GCP and on-premise environments Experience with data-residency and regulated-workload controls such as Assured Workloads and Access Transparency, relevant to deploying per-market for different banks' regulators Hands-on experience taking a company through security and compliance frameworks like NIST, SOC 2, ISO 27001 and PCI DSS Experience automating security controls and compliance checks against standards and frameworks including SOC 2, ISO 27001 and PCI DSS / 3DS Container security knowledge including container image provenance (e.g. Sigstore, Notary) with an in-depth knowledge of container runtimes, and an understanding of integrating security into the software development lifecycle Experience performing secure code reviews and security approvals, including the use of static and dynamic application security testing (SAST / DAST) tools Experience in cryptography management and enhancements Relevant security certifications such as ISC2 CC, CISSP, CCSP, CISM, AWS Security Specialty or GCP Professional Cloud Security Engineer 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 Microservice-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 . click apply for full job details

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 - As a Security Engineer at Engine, you'll be working on helping to keep our infrastructure secure and compliant and our staff safe and productive. You'll be working on projects covering identity and access management, cloud and network security, vulnerability management, security monitoring, security hardening, compliance reviews, and more. It's a very varied role with lots of close interaction with the infrastructure, security engineering, cross-cutting and compliance teams. We are looking for an experienced Senior / Staff level GCP Security Engineer to join our established Security Engineering team, working closely with Information Security, Infrastructure and the various Engine Technology teams to make sure security is at the heart of all our technical processes. As our subject matter expert, you will take ownership of engineering the security foundations of our Google Cloud Platform environment. This is a hands-on role for a specialist with a proven track record of designing, building, and automating security controls specifically for GCP, including hardened GKE clusters. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest Blog or our case studies with Women in Tech. As a GCP Security Engineer, you will: Collaborate with stakeholders to define our Google Cloud security architecture (cloud identity, runtime security, security posture) Design, document, build and maintain a secure and scalable infrastructure on GCP using Infrastructure as Code Be part of the team responsible for safeguarding our systems, applications and data by ensuring secure user access, authentication and authorisation mechanisms are in place Engineer and automate technical controls within GCP to ensure and demonstrate continuous compliance with stringent standards such as PCI DSS and 3DS Drive security infrastructure deployments across our growing environments Perform regular security assessments, audits, threat modelling and architecture design reviews to identify risks and vulnerabilities, triage found risks, identify improvements appropriately and design controls to implement as corrective actions Lead incident response efforts, including investigation and remediation of security breaches Support our internal security awareness and training programs, advocating the DevSecOps mindset that we have created across our technology teams 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 have an innate passion for security and care enough to find elegant solutions to difficult problems, we'd love to hear from you. What skills are essential: Mature understanding of cloud security architecture, with deep expertise in GCP and a proven track record Experience creating a GCP landing zone, configuring services such as organisation policies and VPC Service Controls A deep understanding of GCP IAM and its limitations Experience with service-oriented architecture using containers, distributed systems and immutable infrastructure on GCP (including GKE, Compute Engine, Shared VPC and Cloud SQL) Expertise in Kubernetes, securing clusters (GKE) and meshes (Cilium is preferable), networking best practices and RBAC implementation (CKA, CKS qualifications are a plus) Experience with Infrastructure as Code and infrastructure provisioning tools, particularly Terraform Experience configuring GCP-native security posture and threat management with Security Command Center Experience securing the software supply chain with Binary Authorization, Artifact Registry and Artifact Analysis Experience with key and secret management on GCP - Cloud KMS, Cloud External Key Manager (EKM) and Secret Manager - including cryptographic key ceremonies Experience with Workload Identity and Workload Identity Federation for keyless authentication of workloads and CI/CD Experience configuring and utilising cloud-native security logging, monitoring and detection services Strong programming skills - in security we write our own scripts for automation in Python, Go and other languages while contributing to open-source tools so we can utilise them In-depth knowledge of security principles, technologies, best practices, and threat detection and mitigation strategies Knowledge of common attack vectors and methodologies (OWASP Top 10, MITRE ATT&CK Framework and social engineering tactics) The ability to identify potential threats, attack vectors and vulnerabilities in systems and applications The ability to document security requirements from various stakeholders Excellent problem-solving, communication and active listening skills with an innate passion for security The ability to identify security gaps and create solutions to minimise risk and impact to us A proactive approach to staying updated with the latest security threats, vulnerabilities and mitigation techniques Thorough understanding of the incident response process (preparation, identification, containment, eradication, recovery, lessons learned) What skills are desirable: In-depth knowledge of network security, including core routing and switching concepts (TCP/IP, BGP, VPNs), security controls (firewalls, WAFs, IDS/IPS), and practical experience designing hybrid connectivity between GCP and on-premise environments Experience with data-residency and regulated-workload controls such as Assured Workloads and Access Transparency, relevant to deploying per-market for different banks' regulators Hands-on experience taking a company through security and compliance frameworks like NIST, SOC 2, ISO 27001 and PCI DSS Experience automating security controls and compliance checks against standards and frameworks including SOC 2, ISO 27001 and PCI DSS / 3DS Container security knowledge including container image provenance (e.g. Sigstore, Notary) with an in-depth knowledge of container runtimes, and an understanding of integrating security into the software development lifecycle Experience performing secure code reviews and security approvals, including the use of static and dynamic application security testing (SAST / DAST) tools Experience in cryptography management and enhancements Relevant security certifications such as ISC2 CC, CISSP, CCSP, CISM, AWS Security Specialty or GCP Professional Cloud Security Engineer 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 Microservice-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 . click apply for full job details

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

An exciting high-growth technology business is looking for a Senior Backend / Platform Engineer Contractor to support the development and scaling of a critical internal platform. This is a hands-on role focused on backend engineering, cloud infrastructure and platform scalability within a fast-paced product environment. Based in: London (primarily remote) Occasional office travel required 6 months initially Start date: ASAP £500-£600 per day - Outside IR35 The Job As the Senior Backend / Platform Engineer , your responsibilities will include: Developing and enhancing backend services and APIs Improving platform performance, reliability and scalability Designing solutions to support growing data volumes and user demand Working with cloud infrastructure and deployment tooling Supporting integrations with third-party systems and services Implementing monitoring, logging and observability capabilities Collaborating with product and engineering teams to deliver new functionality Advising on architecture and technical best practices Helping establish processes to support future platform growth You Strong commercial experience with Python development Experience building and scaling cloud-native applications Strong knowledge of GCP and infrastructure best practices Experience with FastAPI or similar backend frameworks Understanding of platform engineering, DevOps or cloud architecture Experience working in start-up, scale-up or product-led environments Comfortable operating in fast-moving teams with evolving requirements Strong communication and stakeholder management skills Tech Stack: Python, FastAPI, GCP, Terraform, React / TypeScript Apply Now You can apply for the Senior Backend / Platform Engineer position now by sending us your CV or by calling us now! Don't forget to register as a candidate too. Amy Brown Associate Director Sphere Digital Recruitment currently has a variety of job opportunities across digital, so feel free to get in touch with us to find out how we can help you. Please take a look at our website. Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. Sphere Digital Recruitment is acting as an Employment Business in relation to this vacancy.