Lead Data Engineer

🔥 8 minutes ago

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Midnite

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🎲 Gambling

👥 B2C

Gambling • B2C

Midnite is a consumer-focused digital betting company that operates a modern sports betting and online casino app. Positioning itself against legacy bookmakers, Midnite emphasizes a fresh, user-friendly mobile experience for sportsbook and casino players, aiming to modernize and improve how fans engage with betting products. The company markets directly to consumers and highlights team-driven product and experience design to attract and retain players.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.