Data Infrastructure Engineer

• Designing, building and maintaining scalable data pipelines and infrastructure
• Working with APIs and microservices to integrate data from multiple sources
• Implementing CI/CD practices to improve deployment reliability and speed
• Managing data quality analysis and ensuring pipeline alignment with business requirements
• Collaborating with stakeholders to gather data requirements and translate them into technical solutions
• Supporting the deployment and management of data systems across cloud platforms (Azure, AWS, GCP)
• Working with containerisation and orchestration technologies (Docker, Kubernetes) to automate infrastructure
• Contributing to infrastructure-as-code initiatives using tools like Terraform
• Troubleshooting data system performance and implementing optimisations
• Documenting architectures and processes to support team knowledge sharing, What roles of this type could offerMost roles of this type offer the following, dependent on the industry and seniority of the role:
• The opportunity to design and build data systems that support critical business decision-making
• Exposure to modern cloud technologies and best practices in data infrastructure
• Scope to develop deeper expertise in data architecture and distributed systems
• Collaboration with cross-functional teams including data analysts, engineers and business stakeholders
• Potential for progression toward senior or lead-level roles as your expertise grows
• The chance to work on diverse, technically challenging projects across different sectors
• Professional development through exposure to cutting-edge data technologies and methodologies
• Flexibility in how and where you work, depending on the specific role and client

• Strong experience with data pipeline development and data infrastructure design
• Proficiency in at least one programming language (Python, Java, or .NET/C#)
• Solid understanding of SQL and relational databases
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of containerisation technologies (Docker) and container orchestration (Kubernetes)
• Understanding of distributed systems and API design
• Experience with CI/CD tools and practices
• Bachelor’s degree in Computer Science or equivalent professional experience
• Ability to work independently and manage technical workstreams with minimal supervision

Nice-to-have

• Google Cloud Data Engineer certification
• Experience with SAP S/4HANA or SAP ECC environments
• Familiarity with Infrastructure-as-Code tools (Terraform)
• Knowledge of BPMN or UML for process modelling
• Experience with data quality frameworks and governance
• Exposure to Linux/Windows system administration
• Experience with Power BI or similar business intelligence tools
• Background in AWS or GCP (in addition to Azure)

• Type: Contract · Full-time
• Day Rate: £400-550 per day (depending on experience and seniority)
• Degree Level: Bachelor’s degree in Computer Science or related field
• Optional Certifications: Google Cloud Data Engineer

About SThreeSThree is the global STEM workforce consultancy.We advise businesses, build expert teams and deliver project solutions to outpace tomorrow, together.Across the UK, we connect talented specialists with cutting-edge opportunities across technology, engineering, life sciences and financial services supported by our offices in London, Birmingham, Manchester, Glasgow and LeedsHow to register interestIf you are interested in being added to our database to be considered for future opportunities, registering is quick and easy. No cover letter required. We will be in touch when we are instructed on these roles to discuss the next step in your career.Disclaimer:Please note that the content of this advert does not represent a live vacancy or any guarantee of future vacancies, and by responding to this advert you agree to us adding your details to our database for future opportunities.