🚀 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: Data Engineer

Team: Data

Location: Remote UK

Salary: up to £80,000

We’re looking for a Data Engineer to drive the next phase of our data strategy at Midnite.

You’ll work across the full data lifecycle from ingestion and modelling to orchestration, monitoring, and analytics enablement, while also helping shape engineering best practices.

Our tech stack

Python, Docker, Dagster, dbt, Fivetran, Apache Iceberg, Snowflake, S3, ECS.

While familiarity with these technologies is preferred, it's not mandatory; what matters most to us is your commitment to maintaining high engineering standards.

You will:

• Take ownership of end-to-end data engineering projects.
• Design, build, maintain, and optimise scalable data pipelines using Dagster, Python, and Snowflake.
• Write clean, efficient, well-documented code and ensuring quality and scalability of the codebase
• Ensure high standards of data quality are maintained through extensive unit testing, integration testing and data monitoring.
• Design and develop complex data models aligned with industry best practices.
• Participate in code reviews, providing constructive feedback to maintain high standards.
• Assist with the design and implementation of our data architecture.
• Stay up-to-date with industry trends and emerging technologies.

Requirements

The next Midniter

Essential Experience:

• 3+ years of experience in a similar role, with a track record of autonomous work and impact.
• Strong expertise in Python and SQL (Snowflake preferred).
• Have experience using monitoring and alerting tools.
• Deep understanding of engineering best practices (e.g. unit testing, writing DRY code).
• Hands-on experience with a modern data orchestrator (e.g. Airflow, Dagster, Prefect).
• Knowledge of data modelling concepts and methodologies (Kimball dimensional modelling, data vault, etc.)
• Proficiency with dbt.
• Comfortable working with Git and version control workflows.

Desirable Experience:

• Experience with Snowflake.
• Experience with AWS’s data ecosystem.
• Experience implementing low-latency analytics at scale.
• Experience with infrastructure-as-code (Terraform preferred).
• Experience delivering full end-to-end data products, including data visualisation and BI.

Benefits

💰 Winnings

• Private health insurance with zero excess, including optical cover and optional dental.
• Income protection to protect your earnings and give you peace of mind.
• Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years.
• Flexible working and a fully supported home office setup so you can do your best work from home.
• Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees.
• Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want.
• Retail discounts and subscription perks across a wide range of brands.
• Quarterly team socials to connect, celebrate and have fun together.

At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders.

We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.