Requirements

3+ years of experience
Understanding of developing ETL pipelines using Python frameworks such as Luigi or Airflow
Experience with development of Python-based REST APIs/services and integration with databases like Postgres
Familiarity with key Python data science tools such as Pandas, Numpy, and scikit-learn
Some experience with training and deploying machine learning models
Enjoy writing elegant, well-tested, and maintainable code
Team player who contributes proactively and positively in a friendly environment
Bachelor’s degree in Computer Science, Math, or equivalent field, or relevant experience

What you'll be doing

Developing and maintaining Data ETL pipelines, including real-time pipelines to support business insights and user-facing functions
Ensuring data lake and warehouses (Redshift, BigQuery) remain in a healthy state
Developing and maintaining Flask services and Postgres databases to manage data access and relevant business entities
Assisting various teams with reporting needs, particularly automated reporting pipelines
Exploring data and training/deploying ML models for tasks like user segmentation, anomaly detection, and business quantity estimation
Maintaining and improving the recommender service to suggest new sports competitions to users

Stock options vesting over 4 years to share in company success
Competitive pension scheme via Aviva with up to 6% matched contributions
Comprehensive health insurance coverage for you and your family
Enhanced maternity and paternity parental leave
Fresh chef-made breakfast and lunch daily, with snacks, tea, coffee, and soft drinks provided
Cycle-to-work scheme to support sustainable commuting and staying active
£1,000 annual education budget for courses, conferences, books, or training
25 days paid holiday plus bank holidays, with option to carry over 5 days
Flexible working options including working from home days
Regular social events, hackathons, and team activities to promote collaboration and fun