Senior Data Engineer - Python/ETL/Databricks/SQL

Senior Data Engineer - Python/ETL/Databricks/SQL

Location: London (Canary Wharf) - Hybrid (3 days onsite)
Rate: £425 - 450 per day (Inside IR35)
Contract: 6 months
Start: ASAP

The Role

We are seeking an experienced Senior Data Engineer to join a large-scale enterprise programme within the financial services sector. This is a hands-on, delivery-focused role centred on designing and building scalable ETL/ELT pipelines, supporting business-critical data platforms, and ensuring high standards of data quality, reliability, and performance. You will work closely with business and technology stakeholders to translate requirements into robust, production-ready data solutions.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines
• Develop and optimise data models and data architecture
• Implement data processing solutions using Python and SQL
• Analyse existing data flows and propose improvements to architecture and performance
• Support data validation, testing, and quality frameworks
• Troubleshoot and resolve data-related production issues
• Collaborate with cross-functional teams including Technology, QA, and Operations
• Support integration of data pipelines across multiple systems and platforms
• Contribute to Agile delivery, including sprint planning and backlog refinement
• Ensure adherence to data governance, controls, and compliance standards

Must-Have Experience

• Strong hands-on experience as a Data Engineer
• Proven experience building ETL/ELT pipelines end-to-end
• Strong Python skills (data processing/pipeline development)
• Experience with at least one major database (PostgreSQL, BigQuery, or Oracle)
• Solid data modelling experience (schema design, performance optimisation)
• Experience working with production data systems and resolving issues
• Strong understanding of data engineering concepts and best practices
• Experience working in Agile environments