Data Engineer (AI/ML Startup)
External
Marshall Wolfe · London, UKPrepare for this interview
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About the role
You'll be responsible for designing, building and maintaining the data pipelines that power the company's AI-driven products. This includes: Building scalable, reliable ETL processes and data pipelines Working closely with data scientists to productionise models Designing and maintaining data architecture for new products Monitoring and improving data quality, performance and reliability Contributing to engineering best practices (testing, code review, documentation)
Requirements
- Must-have experience:
- Proven experience building scalable ETL processes and data pipelines
- Advanced Python skills (production-grade, performant code)
- Strong hands-on experience with pandas
- Strong SQL Server skills
- Experience with cloud platforms (Azure or AWS)
- Experience using Git in a team environment
- Hands-on experience using AI coding tools (e.g., Copilot, Cursor, Claude, Codex)
- Experience with Airflow, Dagster or other orchestration tools
- Experience with data lakes (Synapse, Snowflake)
- Experience with Docker
- Experience with streaming technologies (Kafka, RabbitMQ)
- Experience with Spark or other big-data tools
- Hybrid working - 3 days per week in a central London office (Tues - Thurs)
- If you're excited by the idea of building the data foundations of next-generation AI products - even if you don't tick every box - we'd love to hear from you.
Additional Information
Data Engineer A rapidly scaling AI startup is looking for a hands-on Data Engineer to join their highly technical team. This is an exceptional opportunity to work on cutting-edge machine learning and real-time optimisation products used by clients processing millions of customer interactions per day. You'll join a small, elite engineering group where your work has immediate impact. The environment is fast, collaborative and low-bureaucracy - ideal for someone who thrives in a startup setting and wants real ownership.
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