Data Engineer at Fast-growing consumer technology startup

As a Mid-Level Data Engineer, you will design and maintain scalable data pipelines and models that drive strategic decision-making across the business. You will build extraction workflows, optimize data models using dbt, and manage orchestration via Dagster. This role is essential for transforming complex raw data into actionable insights for cross-functional teams.

Fast-growing consumer technology startup

• Build robust data extraction pipelines using Python and modern tools to integrate diverse internal and third-party API sources.
• Create and optimize sophisticated data models in dbt to provide high-quality, enriched datasets for internal self-service reporting.
• Partner with data scientists and analysts to ensure data assets are intuitive and highly relevant for business-wide BI consumption.

• Proven professional experience in data or analytics engineering with a track record of delivering sustained technical impact.
• Strong proficiency in SQL and Python for writing custom data assets and managing complex automated data workflows.
• Hands-on experience with modern orchestration platforms and version control best practices to maintain production-grade pipeline reliability.

• Join a high-trust environment with significant autonomy where your ideas directly shape the data strategy and infrastructure from day one.
• Work for a globally recognized, award-winning company ranked among the fastest-growing technology firms in the UK and Europe by major publications.
• Enjoy a flexible hybrid culture that prioritizes work-life balance through generous wellness allowances, family-friendly leave, and recurring company-wide social celebrations.