Senior Data Engineer

Senior Data Engineer

Full-Time 85000 - 100000 £ / year (est.) Home office possible
Midnite

At a Glance

  • Tasks: Design and maintain scalable data pipelines using modern tools like Python and SQL.
  • Company: Join Midnite, a cutting-edge sports betting platform with a vibrant culture.
  • Benefits: Enjoy private health insurance, flexible working, and generous holiday policies.
  • Other info: Be part of a diverse team committed to equal opportunities and inclusivity.
  • Why this job: Shape the future of data engineering in a fast-paced, high-impact environment.
  • Qualifications: Strong data engineering experience and proficiency in Python and SQL required.

The predicted salary is between 85000 - 100000 £ per year.

Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move, and we're only just getting started. We're a high-performance team operating at pace with high ownership and constant iteration.

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:

  • 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.

At Midnite, we're committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.

Senior Data Engineer employer: Midnite

Midnite is an exceptional employer that champions a high-performance culture, offering Senior Data Engineers the opportunity to shape impactful data solutions in a fast-paced, innovative environment. With benefits like private health insurance, flexible working arrangements, and a tenure holiday policy that rewards long-term commitment, Midnite prioritises employee well-being and growth. The company's dedication to inclusivity and team collaboration ensures that every voice is heard, making it a truly rewarding place to work.
Midnite

Contact Detail:

Midnite Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Midnite. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a portfolio or GitHub with projects relevant to data engineering, make sure to highlight them. Real-world examples of your work can set you apart from the crowd.

Tip Number 3

Prepare for the interview by understanding Midnite's culture and values. They love creativity and fast execution, so think about how your experiences align with their mission and be ready to share!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Midnite team.

We think you need these skills to ace Senior Data Engineer

Python
SQL
Snowflake
Dagster
dbt
AWS
Data Engineering
Data Modelling Principles
Testing
Monitoring
Alerting
Data Quality
Communication Skills
Problem-Solving Skills
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and any modern data tools you've used. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our fast-paced environment. Let us know why you're excited about joining Midnite and what makes you a great fit.

Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and maintain scalable data pipelines. We love seeing real-world applications of your skills.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!

How to prepare for a job interview at Midnite

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, Snowflake, and Dagster. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these tools in past projects.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you improved data quality or optimised a pipeline, and be ready to explain your thought process and the impact of your solutions.

Communicate Clearly

Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between different teams and ensure everyone is on the same page.

Embrace the Fast-Paced Environment

Midnite thrives on speed and innovation, so be prepared to discuss how you handle ambiguity and rapid changes. Share experiences where you’ve had to adapt quickly and how you maintain high ownership in your work.

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