Description:
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.
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)
What we’re looking for
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)
Nice to have:
- 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.
