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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Infrastructure Engineer - **Company:** SThree Plc - **Location:** Ilford, UK - **Salary:** £104,000.0 - £143,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Business Process Model and Notation, C Sharp (Programming Language), Cloud Computing, Continuous Delivery, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Data Systems, Relational Databases, Linux, Distributed Systems, Python (Programming Language), SAP ERP, Power BI, SQL Databases, UML, Google Cloud, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, SAP S/4HANA, Api Design, Terraform, Data Pipelines, Docker, Microservices - **Published:** July 4, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=30c924dc85d2ca3c ## About the Role * 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) ## Description * 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 ## Related Videos - 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