2 of 2 Permanent Data Engineering Jobs in Stratford-upon-Avon

Job Summary: We are looking for a highly skilled Senior Data Engineering Developer with strong hands-on experience in Azure Data Factory , SQL development , and ETL tools . The ideal candidate will design and implement data pipelines, optimize performance, and collaborate with stakeholders in an Agile environment to deliver robust data solutions. Key Responsibilities: Design … and Develop Pipelines: Build and maintain Azure Data Factory pipelines and implement CI/CD processes for automated deployments. SQL Development: Write and optimize complex stored procedures , functions , and queries for high-performance data processing. Agile Delivery: Work in an Agile model , participate in sprint planning, and ensure timely delivery of data solutions. ETL Expertise: Utilize prior … experience with ETL tools such as SSIS , Informatica , or DataStage for data integration tasks. Optional Skills: Exposure to SAP BODS is a plus. Technical Solutioning: Provide technical guidance and solutions to the team for complex data engineering challenges. Cloud & Data Warehouse Concepts: Apply knowledge of cloud architecture and data warehouse principles to design scalable solutions. More ❯

We are looking for a seasoned data professional to support the Client Data Delivery Team in designing and building scalable, future-proof data assets within the Microsoft Azure ecosystem. This role involves technical consulting, hands-on development, and leadership in data modelling, orchestration, and semantic layer design. Key Responsibilities: Provide technical consulting to the Data Engineering Manager during the design phase. Collaborate with a small team of Business Data Engineers to build new data assets. Lead the design and development of dimensional data models and Power BI semantic models. Replace legacy SAP Business Objects universes with modern Azure-based solutions. Utilize Azure Data Factory (ADF), stored procedures, and Azure … Synapse for data processing. Guide the team on best practices, architecture, and documentation standards. Engage with stakeholders to ensure solutions are aligned with business needs. Integrate metadata sourcing from Collibra and support model curation using tools like Tabular Editor. Participate in agile ceremonies, code reviews, and solution design reviews. Required Skills & Experience: 10+ years of experience in data More ❯