17 days ago
Remote, United KingdomSenior
Responsibilities
- 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 optimize reliable SQL-based data models.
- Build stronger staging and testing environments for data changes before production.
- Improve monitoring, alerting, and data quality across key pipelines.
- Contribute to CDC and lower-latency data movement initiatives.
- Collaborate with Product, Analytics, Engineering, and business stakeholders.
- Participate in code reviews, raise engineering standards, pair with engineers, and support more junior team members.
Requirements
- Strong data engineering experience and ability to operate as a senior individual contributor.
- Strong software engineering foundations and production-grade engineering habits.
- High proficiency 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 modeling principles and their pragmatic application.
- Care about testing, monitoring, alerting, and data quality.
- Ability to thrive in a startup or scale-up environment with high ownership and ambiguity.
- Clear communication with technical and non-technical stakeholders.
Benefits
- Private health insurance with zero excess, including optical cover and optional dental.
- Income protection insurance.
- Tenure holiday policy with an extra two days after three years and up to 30 days annually after five years.
- Flexible working and a fully supported home office setup; the role is remote in the UK.
- Nursery salary sacrifice scheme.
- Salary sacrifice schemes for technology and holidays.
- Retail discounts and subscription perks.
- Quarterly team socials.
About Midnite
Midnite builds a consumer sports, esports, and casino betting platform delivered via mobile and web apps. The company operates a sportsbook and gaming product with revenue from wagering margins and is scaling across multiple markets. Founded in 2015 and headquartered in London, it is privately held and hires engineers to evolve backend and platform systems for its core betting services.