Data Engineer

🕒 July 28

🇬🇧 United Kingdom – Remote

💵 £80k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• 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

• 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.

🏖️ 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.