
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.
🔥 7 minutes ago
🇬🇧 United Kingdom – Remote
đź’µ ÂŁ85k - ÂŁ100k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
đź‘» Ghost score 0%
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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.
• 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 analytics enablement • Develop and optimise reliable SQL-based data models • 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 raise engineering standards across the team • Pair with other engineers and support more junior team members
• Strong data engineering experience at senior individual contributor level • Strong software engineering foundations and production-grade engineering habits • Highly capable with Python and SQL in real data engineering environments • Experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar • Understanding of data modelling principles • Experience with testing, monitoring, alerting, and data quality • Experience in a startup or scale-up environment with high ownership and ambiguity • Clear communication with technical and non-technical stakeholders • Must be based in the UK • Full right to work in the UK • Must not require sponsorship to work in the UK
• Private health insurance with zero excess, including optical cover and optional dental • Income protection • Tenure holiday policy: extra two days leave after three years, increasing to 30 days annually after five years • Flexible working • Fully supported home office setup • Nursery salary sacrifice scheme • Salary sacrifice schemes for tech and holidays • Retail discounts and subscription perks • Quarterly team socials
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