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# Data Engineer

- **Company:** SThree Plc
- **Location:** Worcester, UK
- **Salary:** £130,000.0 - £169,000.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Relational Databases, Distributed Data Store, Python (Programming Language), SAP ERP, Performance Tuning, Power BI, SAP NetWeaver Data Management, SQL Databases, Google Cloud, RISE with SAP, Kubernetes, Infrastructure Automation Frameworks, Information Technology, SAP S/4HANA, Terraform, Data Pipelines, Docker, Microservices
- **Published:** August 26, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=a4af18f8ce9897dd

## About the Role

* Demonstrable experience designing and implementing data pipelines and ETL processes
 * Proficiency in SQL and experience querying relational databases
 * Working knowledge of cloud platforms (Azure, AWS or GCP) and associated data services
 * Familiarity with containerisation and orchestration tools (Docker, Kubernetes)
 * Understanding of data quality principles and experience implementing quality checks
 * Bachelor's degree in Computer Science or related field
 * Right to work in the United Kingdom

Nice-to-have

 * Master's degree
 * Google Cloud Data Engineer certification
 * Experience with .NET, Python or Java in data engineering contexts
 * Knowledge of microservices architecture and APIs
 * Exposure to Infrastructure-as-Code tools (Terraform)
 * Experience with SAP data ecosystems (SAP S/4HANA, SAP ECC, SAP RISE)
 * Familiarity with data visualisation tools (Power BI)

## Description

We are looking to register interest in Data Engineer opportunities to support businesses building and maintaining robust data infrastructure that powers critical analytics and decision-making., * Designing and building data pipelines to ingest, transform and load data from multiple sources

 * Implementing data quality checks and monitoring to ensure reliability and accuracy of datasets
 * Managing data infrastructure on cloud platforms (Azure, AWS, GCP) with infrastructure-as-code tools such as Terraform
 * Deploying and maintaining containerised services using Docker and Kubernetes
 * Collaborating with stakeholders to gather data requirements and align pipeline design with business needs
 * Troubleshooting performance issues in distributed data systems and optimising query and pipeline execution
 * Supporting CI/CD practices and automation to improve deployment and release cycles
 * Documenting data architecture, pipelines and processes for team knowledge sharing, Most roles of this type offer the following, dependent on the industry and seniority of the role:
 * Opportunity to work on data infrastructure that directly supports business intelligence and operational decisions
 * Exposure to modern data architecture patterns and cloud technologies
 * Scope to develop technical depth in data engineering practices and tools
 * Collaborative environment with experienced data and analytics teams
 * Potential for progression and specialisation as expertise grows
 * Contract flexibility and day rate reflecting specialist expertise


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