Senior Data Engineer role at AI & Data Engineering focused on Databricks engineering.
About the role
- Data Engineer at Smarkets improving business insights by building data pipelines and services for analytics and reporting. Collaborating with teams to enhance data-driven decision-making.
Responsibilities
- 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
- Flexible hybrid model (2 days a week from home)
- 20 days per year of global working
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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