Senior Data Engineer

Salary: £50,000 - 60,000 per year

Requirements:

• Significant experience in data engineering, preferably across both traditional and cloud-based platforms.
• Proven track record in designing, implementing, and maintaining scalable data architectures and pipelines.
• Experience delivering solutions in complex, data-driven organisations where security, compliance, and reliability are critical.
• Proficiency in some or all relevant technologies and languages, such as Oracle DBMS/SQL Server, Python, SQL, T-SQL/PLSQL, SSIS, SAP Data Services.
• Experience with cloud data platforms such as Azure, AWS, or Snowflake.
• Experience with data tools such as Azure Data Factory, Fabric Data Factory, Synapse, Fabric, Spark, and Notebooks.
• Experience with source control (Git) and the DevOps methodology.
• Ability to design, maintain, and optimise scalable ETL/ELT pipelines.
• Ability to troubleshoot complex data issues, monitor performance, and implement automated solutions.
• Strong analytical and problem-solving capabilities with an emphasis on performance tuning and scalability.

Responsibilities:

• Design, implement, and maintain robust ETL/ELT pipelines to ingest and transform data from diverse internal and external sources.
• Ensure pipelines are scalable, performant, and reliable, including monitoring overnight loads, resolving failures promptly, and implementing automated alerts to maintain timely data availability.
• Contribute to the design, build, and optimisation of data architectures, models, warehouses, and data lake solutions that support reporting, analytics, and AI initiatives.
• Ensure solutions meet performance, scalability, and reliability standards across legacy and modern cloud platforms.
• Monitor and tune system, pipeline, and query performance.
• Continuously refine pipelines to enhance efficiency, reduce processing times, and improve scalability, maintainability, and cost-effectiveness.
• Leverage and maintain modern data engineering tools and frameworks such as Azure Data Factory, Synapse, Microsoft Fabric, Spark, and Python.
• Evaluate and recommend emerging technologies that align with our organisational strategy and enhance data capabilities.
• Maintain legacy data warehouses and pipelines such as Oracle, SQL Server, SSIS, and SAP Data Services until replacement by a modern data platform and tooling.

Technologies:

• AI
• AWS
• Azure
• Cloud
• DevOps
• ETL
• Fabric
• Git
• Support
• Oracle
• Python
• SAP
• SQL
• Security
• Snowflake
• Spark
• SSIS

More:

We are recruiting for a Senior Data Engineer to join our team. This is a hybrid role with 2-3 days onsite in Guildford. The role involves working across both legacy and modern cloud-based data platforms and pipelines to support efficient data collection, processing, and analysis.

last updated 38 week of 2026