Senior Data Engineer

About the role

🚀 Why Midnite?

Midnite is a next-generation sports betting and gaming platform built for a new wave of players.

We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today.

Over 400,000 players have already made the move, and we’re only just getting started.

We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading.

Not your grandad’s bookie.

👀 The Role

Title: Senior Data Engineer

Team: Data

Location: Remote UK

Salary bands: £85,000 - £100,000

As Senior Data Engineer, you’ll help scale the data platform that powers decision making across Midnite. You’ll work on core platform improvements, reliable data pipelines, modern data tooling, and lower-latency analytics foundations that support the next stage of company growth. This is a high-ownership role for someone who brings strong engineering fundamentals and wants to shape how data engineering is done as the team scales.

You will:

- Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.

- Own end to end data engineering projects from ingestion through to analytics enablement.

- Develop and optimise reliable SQL based data models.

- Help build a stronger staging and testing environment for data changes before production.

- Improve monitoring, alerting, and data quality across key pipelines.

- Contribute to CDC and lower latency data movement initiatives.

- Work closely with Product, Analytics, Engineering, and business stakeholders.

- Participate in code reviews and help raise engineering standards across the team.

- Pair with other engineers where needed and support more junior team members as the team grows.

The next Midniter:

- Has strong data engineering experience and can operate at senior individual contributor level.

- Brings strong software engineering foundations and production-grade engineering habits.

- Is highly capable with Python and SQL in real data engineering environments.

- Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar.

- Understands data modelling principles and can apply them pragmatically.

- Cares about testing, monitoring, alerting, and data quality.

- Thrives in a startup or scale-up environment with high ownership and ambiguity.

- Communicates clearly with technical and non-technical stakeholders.