Senior Data Engineer

🕒 July 28

🇬🇧 United Kingdom – Remote

💵 £85k - £100k / year

⏰ Full Time

🟠 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

• Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. • Own end to end data engineering projects from ingestion through to analytics enablement. • Develop and optimise reliable SQL based data models. • Help build a stronger staging and testing environment for data changes before production. • Improve monitoring, alerting, and data quality across key pipelines. • Contribute to CDC and lower latency data movement initiatives. • Work closely with Product, Analytics, Engineering, and business stakeholders. • Participate in code reviews and help raise engineering standards across the team. • Pair with other engineers where needed and support more junior team members as the team grows.

🎯 Requirements

• Has strong data engineering experience and can operate at senior individual contributor level. • Brings strong software engineering foundations and production-grade engineering habits. • Is highly capable with Python and SQL in real data engineering environments. • Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. • Understands data modelling principles and can apply them pragmatically. • Cares about testing, monitoring, alerting, and data quality. • Thrives in a startup or scale-up environment with high ownership and ambiguity. • Communicates clearly with technical and non-technical stakeholders.

🏖️ 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.