Senior Data Engineer | Python & SQL | London (Hybrid)
£75,000 (Depending on experience and interview performance)
A rapidly growing company in private market intelligence is looking for a Senior Data Engineer to shape its data infrastructure and drive advanced analytics. With a modern data stack built on Python, SQL, DBT, and Azure, this team is developing high-performance solutions to power decision-making in private capital markets.
Key Responsibilities
🔶 Develop & Maintain Data Pipelines – Ensure efficient extraction, transformation, and loading (ETL) of structured and unstructured data
🔶 Optimise Infrastructure & Automation – Enhance scalability, automate workflows, and improve data delivery mechanisms
🔶 Build Analytical Models – Design tools that provide actionable insights for business and investment strategies
🔶 Implement Security Best Practices – Maintain data integrity and protect sensitive information
🔶 Cross-Team Collaboration – Work closely with data scientists, product managers, and engineering teams to align on data-driven initiatives
Requirements
🔶 3-5 years’ experience in data engineering or analytics engineering
🔶 Strong Python development skills, with a focus on clean, maintainable, and testable code
🔶 Advanced SQL expertise and experience with relational databases (PostgreSQL, MySQL, or similar)
🔶 Experience building and maintaining DBT models
🔶 Familiarity with cloud data services (preferably Azure) and version control (Git, GitHub)
🔶 Hands-on experience integrating data from APIs, databases, and SFTP sources
What Sets You Apart
🔶 A structured problem-solver with strong attention to detail
🔶 Passion for continuous learning and best practices in data engineering
🔶 Interest in financial markets and investment analytics (a plus but not required)
🔶 A STEM degree is beneficial but not essential
What’s on Offer
🔶 Competitive salary + benefits
🔶 Hybrid working in London
🔶 Work on impactful projects transforming private market data intelligence
For those looking to take on a challenging and rewarding data engineering role, this is an opportunity to work on cutting-edge solutions in a dynamic environment.
Company is hoping to interview this week, apply now to guarantee your spot!
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