Lead Data Engineer

 Posted an hour ago
     
 £120K - £130K per year
  
5-10 years experience
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AI Summary

Drive the technical strategy for the data platform, focusing on scalability, reliability, and the design of robust data pipelines. Lead the implementation of data models and mentor engineers to enable self-service analytics for stakeholders.

🚀 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: Lead Data Engineer

Team: Data

Location: UK preferred; remote-friendly

Salary: £120k, with flexibility up to £130k for the right candidate

We’re looking for a Lead Data Engineer to drive the next phase of our data platform strategy at Midnite. This is a hands-on technical leadership role where you’ll set direction, own the design and scalability of our data infrastructure, and help build the platform that enables analysts and stakeholders to self-serve.

We’re looking for a software-engineering-first data platform leader: someone with strong engineering fundamentals, sound technical judgment, and the ability to mentor others while remaining hands-on.

You’ll work across the full data lifecycle from ingestion and modelling to orchestration, monitoring, and analytics enablement. You’ll help us make scalable technical decisions, support multi-territory expansion, improve platform reliability, and move the business toward lower-latency insights where it matters most.

Our Tech Stack

Snowflake, Apache Iceberg, Python, Docker, Dagster, dbt, Terraform, AWS, and Omni.

We have a modern stack overall and welcome input from engineering leaders on how we can improve scalability, reliability, and efficiency.

You will:

  • Partner with the Head of Data to 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 reliable analytics and lower-latency opportunities over time.

  • Build a platform that enables analysts to self-serve and stakeholders to make better decisions.

  • Help shape repeatable architecture for multi-territory expansion.

  • Oversee the implementation of data models and frameworks that support analytics and business intelligence.

  • Drive engineering best practices across testing, monitoring, version control, automation, and pragmatic design.

  • Lead code reviews, raise quality standards, and ensure technical debt is managed proactively.

  • Mentor engineers, support career development, and provide lightweight people management while staying hands-on.

  • Stay ahead of industry trends, introducing tools and methods that future-proof the data platform without overcomplicating it.

The next Midniter:

  • Is a software engineer first who has specialised in data/platform engineering.

  • Has strong software engineering fundamentals.

  • Has strong Python or equivalent production engineering capability.

  • Has SQL capability; Snowflake experience is a bonus, but engineering depth matters more than exact tool match.

  • Has data modelling and architecture breadth, and can explain trade-offs clearly.

  • Has experience with orchestration frameworks such as Dagster, Airflow, or Prefect.

  • Has hands-on experience with modern data warehouses/lakehouse patterns and cloud infrastructure.

  • Is comfortable with platform/infrastructure thinking across tools such as dbt, Docker, Terraform, AWS, Iceberg, or similar.

  • Is a hands-on leader: data engineer first, people manager second.

  • Thrives in a start-up/scale-up environment and brings a pragmatic, impact-focused mindset.

💰 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.

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