Design and Own Pipelines: Build and maintain ETL pipelines (batch and real-time) that turn raw data into reliable, usable insights.
Build Data Services: Develop Python/Flask APIs and Postgres services that expose data and manage business entities.
Support Analytics & Reporting: Automate reporting pipelines, design data models, and empower teams with accurate dashboards.
Enable Data Science: Train and deploy ML models for segmentation, anomaly detection, and recommendations—contributing to our existing recommender service.
Operate Data Infrastructure: Keep our data warehouses (Redshift, BigQuery) healthy, scalable, and performant.
Collaborate & Mentor: Work closely with data scientists, analysts, and engineers across teams, helping raise the bar for data excellence.
Requirements
Professional experience in data engineering.
Hands-on experience building ETL pipelines in Python.
Background in developing APIs/services with Python and databases.
Familiarity with the Python data science stack and deploying ML models.
An eye for writing maintainable, well-tested code.
A collaborative, proactive attitude and a desire to learn.
A degree in Computer Science, Math, or equivalent experience.
Benefits
Stock options with 4-year vesting
6% matched pension scheme via Aviva
Health insurance
Daily in-office lunch prepared by our chef, plus snacks, coffee, and drinks
Cycle to work scheme
£1,000 yearly education budget for courses, books, or conferences
25 days paid holiday + bank holidays, with 5 carry-over days
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