Senior Data Engineer

Midnite

Senior Data Engineer scaling data platforms at Midnite. Focused on reliable data pipelines and lower-latency analytics for growth and decision making.

Posted 4/30/2026full-timeRemote • 🇬🇧 United KingdomSenior💰 £85,000 - £100,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSPythonSQL

About the role

Key responsibilities & impact

**👀 The Role**
**Title:** Senior Data Engineer
**Team:** Data
**Location:** Remote UK
**Salary bands:** £85,000 - £100,000
As Senior Data Engineer, you’ll help scale the data platform that powers decision making across Midnite. You’ll work on core platform improvements, reliable data pipelines, modern data tooling, and lower-latency analytics foundations that support the next stage of company growth. This is a high-ownership role for someone who brings strong engineering fundamentals and wants to shape how data engineering is done as the team scales.
**You will:**
- 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

What you’ll need

**The next Midniter:**
- 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

Comp & perks

**💰 Winnings**
- 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.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata engineeringdata modelingdata pipelinesdata qualitymonitoringalertingtestinganalytics enablement

Soft Skills

communicationownershipcollaborationmentorshipproblem-solvingadaptabilityleadershipattention to detailcritical thinkingstakeholder engagement