Job Opportunities API

🚀 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, remote Salary: £100,000 - £120,000 (flexibility for exceptional 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. - I