43 jobs found

Lead Technical Architect Contract until April £Market rates/Day Inside IR35 Remote Clearance: SC We are seeking a Lead Technical Architect for our Government client on a remote basis. The Lead Technical Architect role will be an initial contract until 30/04 paying between £700 - £990/Day Inside IR35. Ideally they want to be under the top end budget. This role is inside IR35 - Due to the service of the role it will now be based on an Umbrella solution. Clearance: SC Role Profile: The candidate will need to come in and identify AI opportunities and will be able to execute them. Requires a proven track record of multi cloud architecture expertise Google Cloud experience Expertise in configuring VPC service controls Must have a focus on security and be familiar with cloud platforms Identify and deliver AI opportunities, including AI-assisted and agentic workflows. Define secure, scalable AI and cloud architecture strategies, roadmaps and standards. Lead multi-cloud architecture across GCP and AWS, including Cloud Landing Zones, IAM and microservices. Design AI security controls, including VPC Service Controls, identity federation, human-in-the-loop approvals and PII protection. Develop modular, technology-agnostic integration layers connecting enterprise platforms, AI solutions and custom-built tools. Lead architectural governance and assurance, including TDA approvals, DPIAs and cyber security compliance. Communicate architectural decisions, risks and recommendations to senior stakeholders. Provide technical leadership, mentor engineering teams and ensure solutions align with wider enterprise architecture. Proven experience leading enterprise cloud architecture across GCP and/or AWS. Strong Google Cloud expertise, particularly VPC Service Controls. Hands-on experience designing secure AI architectures and implementing AI safety guardrails. Strong knowledge of cloud security, IAM, identity federation and data privacy controls. Experience designing scalable microservices and API-led integration architectures. Understanding of public sector governance, security assurance and relevant NCSC standards. Excellent stakeholder management, technical communication and architectural leadership skills. If you are interested in the above, hit the Apply now button! Lead Technical Architect , Google Cloud, Lead Technical Architect ,AWS, Lead Technical Architect GCP, AI, VPC, Architect, Technical Architect, Design,Lead Technical Architect , Artificial Intelligence, AISC Cleared, SC Clearance Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter and LinkedIn - Circle Recruitment.

HM80: Lead Technical Architect Location: Remote Contract until 30/04/2027 Salary: Competitive Day Rate Inside IR35 Overview: First Military Recruitment are currently seeking a Lead Technical Architect on behalf of one of our clients. As a Lead Technical Architect supporting the AI buildout, this role will provide end-to-end technical oversight, strategic perspective, and architectural governance for the department's transition to AI-assisted and agentic workflows. It will be responsible for leading the technical design of AI platforms and cloud infrastructure, evaluating emerging AI capabilities, and steering systems through formal security and governance assurance. From an enterprise perspective, the role will ensure that deliverables align and interoperate with broader departmental architectures and roadmaps. Our client encourages applications from ex-military personnel however all candidates will be given due consideration. Duties and Responsibilities: Define architectural roadmaps and principles for the AI buildout, establishing secure Cloud Landing Zones and technology-agnostic integration layers that bridge enterprise AI software with custom-built tools. Create modular, scalable cloud and microservice architectures capable of supporting complex AI workflows, setting technical design standards across the project lifecycle. Make high-impact design decisions to manage architectural risk, designing mandatory human-in-the-loop approval gates, identity federation, and AI safety baselines (such as prompt protection and PII masking). Lead architectural governance for AI systems, steering solutions through formal Technical Design Authority (TDA), Data Protection Impact Assessment (DPIA) and cyber security checkpoints. Articulate complex architectural trade-offs, security postures, and risk models to senior leadership (CDIO, TDA Board) while coaching delivery teams and aligning delivery partners. Skills and Qualifications: Significant experience leading cloud platform architecture (GCP/AWS), secure Cloud Landing Zones, Identity and Access Management (IAM) hierarchies and microservices design for complex enterprise environments. Hands-on experience designing deterministic AI safety controls, including human-in-the-loop approval gates, VPC Service Controls, identity federation (WIF, Entra ID), and privacy/PII masking baselines. Expertise in both strategic and technical design, with a proven track record of designing modular components and services and defining how they interoperate seamlessly to deliver intended end-to-end service outcomes. Proven ability to architect modular, vendor-neutral software systems and API layers that seamlessly connect core enterprise platforms into central AI and workflow backbones. Strong understanding of central government architectural governance, with proven experience navigating Technical Design Authority (TDA) sign-offs, DPIA assessments, and cyber security/NCSC standards. Ability to communicate complex technical designs and risk models to stakeholders, mediate difficult architectural decisions, and provide coaching to engineers and architects. SC Security Clearance. Location: Remote Contract until 30/04/2027 Salary: Competitive Day Rate Inside IR35

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

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

Python Engineer / Data Engineer - SC Cleared New Permanent Opportunity for an SC Cleared Python Engineer / Data Engineer with a leading Public Sector Consultancy Location : Cardiff - hybrid working model Salary : Up to £50,000 DOE Clearance : Active SC required to start Type : Permanent Experience : Python, AWS/Azure/GCP, Git, CI/CD, SQL, ETL/Data Pipelines, IaC Role Opportunity I'm currently working with a leading public sector technology consultancy delivering digital, data and technology projects across government. They're looking for a Python Engineer / Data Engineer to join their growing team in Cardiff. This is a hands-on engineering role that would suit a strong Python / Backend Engineer with an interest in data engineering and cloud technologies. You'll work on modern data platforms and services, developing Python-based solutions while gaining exposure to data pipelines, cloud infrastructure, CI/CD and Infrastructure as Code. Key Responsibilities: Develop and maintain robust Python-based applications, services and data solutions. Build and support data pipelines, ETL/ELT and data transformation processes. Work with cloud platforms including AWS, Azure or GCP. Apply software engineering practices including Git, testing and CI/CD. Support cloud infrastructure and automation using Terraform / IaC. Work with databases and SQL. Support data quality, cleansing and standardisation. Collaborate with engineers, data specialists and client stakeholders. Work within Agile, multidisciplinary engineering teams. Key Skills Required: Python - strong hands-on development experience Cloud - AWS, Azure or GCP Git - version control CI/CD - understanding of modern software delivery SQL - basic commercial experience Data Engineering - ETL/ELT, data pipelines and transformation Testing - unit, integration and data quality testing IaC / Terraform - awareness or practical experience SC Clearance - active clearance required to start Desirable : Docker Airflow / AWS Glue Pandas Data Lakes / Data Warehouses Public sector or consultancy experience Agile delivery experience Experience working alongside data science / ML teams To be Considered: Please apply by clicking online or emailing me directly at

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

Python Engineer / Data Engineer - SC Cleared New Permanent Opportunity for an SC Cleared Python Engineer / Data Engineer with a leading Public Sector Consultancy Location : Bristol - hybrid working model Salary : Up to £50,000 DOE Clearance : Active SC required to start Type : Permanent Experience : Python, AWS/Azure/GCP, Git, CI/CD, SQL, ETL/Data Pipelines, IaC Role Opportunity I'm currently working with a leading public sector technology consultancy delivering digital, data and technology projects across government. They're looking for a Python Engineer / Data Engineer to join their growing team in Bristol. This is a hands-on engineering role that would suit a strong Python / Backend Engineer with an interest in data engineering and cloud technologies. You'll work on modern data platforms and services, developing Python-based solutions while gaining exposure to data pipelines, cloud infrastructure, CI/CD and Infrastructure as Code. Key Responsibilities: Develop and maintain robust Python-based applications, services and data solutions. Build and support data pipelines, ETL/ELT and data transformation processes. Work with cloud platforms including AWS, Azure or GCP. Apply software engineering practices including Git, testing and CI/CD. Support cloud infrastructure and automation using Terraform / IaC. Work with databases and SQL. Support data quality, cleansing and standardisation. Collaborate with engineers, data specialists and client stakeholders. Work within Agile, multidisciplinary engineering teams. Key Skills Required: Python - strong hands-on development experience Cloud - AWS, Azure or GCP Git - version control CI/CD - understanding of modern software delivery SQL - basic commercial experience Data Engineering - ETL/ELT, data pipelines and transformation Testing - unit, integration and data quality testing IaC / Terraform - awareness or practical experience SC Clearance - active clearance required to start Desirable : Docker Airflow / AWS Glue Pandas Data Lakes / Data Warehouses Public sector or consultancy experience Agile delivery experience Experience working alongside data science / ML teams To be Considered: Please apply by clicking online or emailing me directly at

Python Engineer / Data Engineer - SC Cleared New Permanent Opportunity for an SC Cleared Python Engineer / Data Engineer with a leading Public Sector Consultancy Location : Manchester - hybrid working model Salary : Up to £50,000 DOE Clearance : Active SC required to start Type : Permanent Experience : Python, AWS/Azure/GCP, Git, CI/CD, SQL, ETL/Data Pipelines, IaC Role Opportunity I'm currently working with a leading public sector technology consultancy delivering digital, data and technology projects across government. They're looking for a Python Engineer / Data Engineer to join their growing team in Manchester. This is a hands-on engineering role that would suit a strong Python / Backend Engineer with an interest in data engineering and cloud technologies. You'll work on modern data platforms and services, developing Python-based solutions while gaining exposure to data pipelines, cloud infrastructure, CI/CD and Infrastructure as Code. Key Responsibilities: Develop and maintain robust Python-based applications, services and data solutions. Build and support data pipelines, ETL/ELT and data transformation processes. Work with cloud platforms including AWS, Azure or GCP. Apply software engineering practices including Git, testing and CI/CD. Support cloud infrastructure and automation using Terraform / IaC. Work with databases and SQL. Support data quality, cleansing and standardisation. Collaborate with engineers, data specialists and client stakeholders. Work within Agile, multidisciplinary engineering teams. Key Skills Required: Python - strong hands-on development experience Cloud - AWS, Azure or GCP Git - version control CI/CD - understanding of modern software delivery SQL - basic commercial experience Data Engineering - ETL/ELT, data pipelines and transformation Testing - unit, integration and data quality testing IaC / Terraform - awareness or practical experience SC Clearance - active clearance required to start Desirable : Docker Airflow / AWS Glue Pandas Data Lakes / Data Warehouses Public sector or consultancy experience Agile delivery experience Experience working alongside data science / ML teams To be Considered: Please apply by clicking online or emailing me directly at

Python Engineer / Data Engineer - SC Cleared New Permanent Opportunity for an SC Cleared Python Engineer / Data Engineer with a leading Public Sector Consultancy Location : London - hybrid working model Salary : Up to £50,000 DOE Clearance : Active SC required to start Type : Permanent Experience : Python, AWS/Azure/GCP, Git, CI/CD, SQL, ETL/Data Pipelines, IaC Role Opportunity I'm currently working with a leading public sector technology consultancy delivering digital, data and technology projects across government. They're looking for a Python Engineer / Data Engineer to join their growing team in London. This is a hands-on engineering role that would suit a strong Python / Backend Engineer with an interest in data engineering and cloud technologies. You'll work on modern data platforms and services, developing Python-based solutions while gaining exposure to data pipelines, cloud infrastructure, CI/CD and Infrastructure as Code. Key Responsibilities: Develop and maintain robust Python-based applications, services and data solutions. Build and support data pipelines, ETL/ELT and data transformation processes. Work with cloud platforms including AWS, Azure or GCP. Apply software engineering practices including Git, testing and CI/CD. Support cloud infrastructure and automation using Terraform / IaC. Work with databases and SQL. Support data quality, cleansing and standardisation. Collaborate with engineers, data specialists and client stakeholders. Work within Agile, multidisciplinary engineering teams. Key Skills Required: Python - strong hands-on development experience Cloud - AWS, Azure or GCP Git - version control CI/CD - understanding of modern software delivery SQL - basic commercial experience Data Engineering - ETL/ELT, data pipelines and transformation Testing - unit, integration and data quality testing IaC / Terraform - awareness or practical experience SC Clearance - active clearance required to start Desirable : Docker Airflow / AWS Glue Pandas Data Lakes / Data Warehouses Public sector or consultancy experience Agile delivery experience Experience working alongside data science / ML teams To be Considered: Please apply by clicking online or emailing me directly at

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.

Location: BELFAST ARNOTT HOUSE, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. Title: Sr. Escalation Engineer - Client Services Base location: Belfast, Northern Ireland (Hybrid) Special Position Requirements Given the critical nature of the customer issues supported, some after-hours/weekend work will be required. Participation in the 24 x 7 telephone support Rota is mandatory for this position. Position Summary This is an exciting opportunity to join a growing Global Support Organization and provide World class Support for all Thales products. Thales is a leading global provider of data protection solutions with more than 40 years' experience securing the world's most sensitive information. Our customers-businesses, governments, and technology vendors with a broad range of challenges use Thales e-Security products and services to improve the security of applications that rely on encryption and digital signatures. By protecting the confidentiality, integrity, and availability of sensitive information that flows through today's traditional, virtualized, and cloud-based infrastructures, Thales helps organizations reduce risk, demonstrate compliance, enhance agility, and pursue strategic goals with greater confidence. Position Scope As a member of a collaborative Client Services team, the Escalation Engineer will provide product escalation support to the Client Services Tech support team, for specific product, in constructing complex customer deployments, analyzing for root causes, recommending remediation procedures or best practices and documenting test methods, processes and knowledge bases. In addition, this position is responsible for validating proper interoperability of Thales products with other third-party vendor software/Solutions This is a multi-disciplined role; the successful candidate should be able to perform hardware/software setup in a variety of lab configurations. This will include various OS platforms, storage products, databases, file systems, security protection software, HA clustering software, etc. The candidate must be a strategic thinker, well organized and able to work within fast-paced engineering environments and is also expected via collaboration with the broader Technical Support, QA and Developer teams to drive continual improvements to our processes and methodologies, all with the goal of continually improving the product quality and customer experience. This is a dream job for an individual who likes to develop and maintain proficiency across a wide variety of enterprise-class hardware and software products. Key Responsibilities and Tasks Work closely with global support engineers on customer escalation issues to ensure timely resolution Configure and duplicate the customer's environment where necessary to replicate the issues for diagnosing Identify the root causes and use this information to improve continuously within support & field service teams Work closely with global development teams to diagnose issues and validating fixes Given the critical nature of the customer issues supported, some after-hours/weekend work will be required. Participation in the 24 x 7 telephone support Rota is mandatory for this position Serve as a Thales product support expert who will work closely with other department as required to facilitate training on new product and features and maintaining a database of training videos for support review. Work closely with our engineering and product management teams to communicate customer needs, issues, and trends to successfully use Thales products. Identify and champion product enhancement requests as customer advocates. Create knowledge and support articles, webinars, white papers, and other materials that help customers use Thales products. Other duties as assigned Technical Knowledge/Skills & Experience Required Essential: Operating Systems & Infrastructure Strong Linux & Windows Server administration skills System performance analysis (CPU, memory, disk, processes, services) Log analysis and troubleshooting Virtualization platforms (VMware, Hyper-V) Basic cloud exposure (AWS, Azure, GCP) Networking fundamentals TCP/IP, DNS, routing, NAT, VPN concepts Packet capture and analysis (Wireshark, tcpdump) Load balancer concepts Database Knowledge Strong understanding of databases (Oracle, MSSQL Server, PostgreSQL, DB2, MySQL) SQL query analysis and troubleshooting Database performance fundamentals Understanding of DB connectivity/authentication Replication and HA concepts Security & Compliance Fundamentals Vulnerability and risk concepts Encryption fundamentals Compliance standards awareness (PCI-DSS, SOX, HIPAA, GDPR) Diagnostic Tools Wireshark, tcpdump, curl/Postman, Fiddler, Splunk/Kibana basics, Database tracing tools Good to have Basic scripting (Bash, Python, PowerShell, REST API fundamentals, JSON/XML parsing) Automation mindset for repetitive diagnostics Basic Git familiarity Troubleshooting & Escalation Skills Analytical & Troubleshooting skills Root Cause Analysis (RCA) Complex log correlation Crisis Management Reproducing customer issues in lab environments Performance bottleneck identification Clear technical documentation skills Strong ownership and accountability mindset Ability to independently lead P1/P0 customer escalations Mentorship and enablement of Support teams Trend analysis and recurrence prevention Contribution to KBs, tooling, automation, and process improvements Strong understanding of enterprise customer environments and deployment patterns Educational Requirements Bachelor's degree in computer science /engineering or technical field or equivalent experience. Professional Attributes Demonstrates the Thales Values: Focus on Customers Perform through teaming Innovate, decide and act quickly Develop our people Proactive - Develops practical solutions, takes ownership, has a 'can do' rather than 'won't do' approach Technically curious - Regards technology problems as challenges Teamwork - Connected to the business, communicates openly, shares information and knowledge, networks internally and externally, persuades rather than pushes, involves colleagues, respects colleagues Creative - Connects the technical dots with a goal of building customer value Responsive - Always reacts quickly and with a sense of urgency to requests, issues, e-mails or other events in a timely and flexible fashion Applicants must be legally authorized to work in the UK at the time of hire. This position is not eligible for visa sponsorship or for assuming sponsorship of an employment visa now or in the future. At Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. Read more about our benefits here. We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring. Discover more about our programmes, employee networks, wellbeing policies, and inclusive features here. If this role isn't quite right for you, we encourage you to join our talent community where your details will be shared with our recruitment teams for other potential opportunities. Join the Talent Community here. Join Thales in the UK - Innovate with us and shape the future!

Software Engineer, Developer, Backend - Java - Identity - IAM, Security Contract - Until End of December 2026 (Renewable) Rate: £600 per day - Inside IR35 Location:Essex based offices (between Brentwood and Basildon) 4 days a week The banking and finance arm of one of the world's leading manufacturing companies and a household name is seeking a software engineer, software developer with Backend, Back End and Identity Access Management (IAM) expertise. The Backend Software Engineer will join the Identity Management Services team, (IAM) focusing on the core platform work that powers identity infrastructure. Main Tasks & Responsibilities: Ensure the platform is secure and resilient Essential Skill and Experience: # 8+ years working with backend technologies including Java, Java Frameworks # Web development - DevOps practices (CI/CD, version control) # Security and identity management (IAM) # Monitoring and logging # Relational databases # Server-Side technologies # Agile Desirable (not essential) Skills & Experience: Networking (Subnets, Firewall, Load balancing, VPN configurations) Problem-Solving and debugging Familiarity with cloud platforms (GCP)

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