Lead Data Engineer

Salary: £100,000 - £120,000 - Must be based in the UK

Please note: The hiring manager is on annual leave from the 20th October to 3rd November.

Why Midnite? 

Midnite is a next-generation betting platform that is built for today’s fandom. We are a collective of engineers and designers who all share a passion for building the best sportsbook & casino experience possible, allowing our fans to feel closer to the games they love through the rush of winning money. 

Unlike the alternatives, Midnite doesn't feel like a website built two decades ago. Instead, it's a cutting-edge creation, designed and constructed from the ground up with the latest technologies. Crafting an experience that's truly intuitive, immersive, and immediately understandable is no walk in the park, but we thrive on the challenge. We believe we're on the brink of creating something truly awesome. 

What will you do?

We’re looking for a Lead Data Engineer to drive the next phase of our data strategy at Midnite. This is a hands-on leadership role where you’ll set the technical direction, own the design and scalability of our data infrastructure, and ensure the team delivers high-quality, impactful solutions.

You’ll work across the full data lifecycle from ingestion and modelling to orchestration, monitoring, and analytics enablement, while also mentoring engineers and shaping engineering best practices. As a lead, you’ll partner with our leadership team to make sure our data function not only delivers but also drives strategic decision-making.

Our Tech Stack

Python, Docker, Dagster, dbt, Fivetran, Apache Iceberg, Snowflake, S3, Glue, ECS, and Omni. We’re constantly evolving our stack and welcome input from engineering leaders on how we can improve scalability, reliability, and efficiency.

Leadership & Collaboration

As Lead Data Engineer, you’ll be both a technical expert and a team leader. You’ll:

• Set technical standards and drive adoption of best practices across the team.
• Mentor and coach engineers, raising the bar on quality and delivery.
• Collaborate closely with senior stakeholders to align data initiatives with business priorities.
• Champion innovation, evaluating new tools, platforms, and methodologies.

Responsibilities

• Own the technical strategy for data engineering, ensuring our stack scales with the business.
• Design, maintain, and evolve robust data pipelines and architecture to support low latency batch use cases.
• Oversee the implementation of data models and frameworks that support analytics, and business intelligence.
• Drive engineering best practices across testing, monitoring, version control, and automation.
• Lead code reviews, enforce quality standards, and ensure technical debt is managed proactively.
• Manage and mentor engineers, supporting career development and creating a culture of excellence.
• Stay ahead of industry trends, introducing tools and methods that future-proof the data platform.

Essential Experience

• 7+ years in data engineering, with at least 2+ years in a lead or equivalent role.
• Proven track record of designing and scaling data platforms in a high-growth or start-up environment.
• Strong expertise in Python and SQL, with deep experience in orchestration frameworks (Dagster, Airflow, Prefect).
• Advanced knowledge of data modelling and architecture (Kimball dimensional modelling, Data Vault etc).
• Hands-on experience with dbt, modern data warehouses, and AWS.
• Demonstrated ability to mentor and develop engineers.

Desirable Experience

• Experience with Snowflake.
• Experience with Apache Iceberg.
• Experience with infrastructure-as-code (Terraform preferred).
• Experience embedding observability and monitoring in data systems.
• Previous experience building and leading data teams in a scale-up environment.