At a Glance
- Tasks: Drive data strategy, build scalable pipelines, and ensure data quality.
- Company: Midnite, a modern sports betting platform with a high-performance culture.
- Benefits: Private health insurance, flexible working, extra leave, and retail discounts.
- Other info: Remote role with a commitment to diversity and inclusion.
- Why this job: Join a fast-paced team and shape the future of data in gaming.
- Qualifications: 3+ years in data engineering, strong Python and SQL skills.
The predicted salary is between 80000 - 80000 £ 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. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading.
The Role
- Team: Data
- Location: Remote UK
- Salary: up to £80,000
We’re looking for a Data Engineer to drive the next phase of our data strategy at Midnite. You’ll work across the full data lifecycle from ingestion and modelling to orchestration, monitoring, and analytics enablement, while also helping shape engineering best practices.
Our tech stack includes Python, Docker, Dagster, dbt, Fivetran, Apache Iceberg, Snowflake, S3, ECS. While familiarity with these technologies is preferred, it's not mandatory; what matters most to us is your commitment to maintaining high engineering standards.
You will:
- Take ownership of end-to-end data engineering projects.
- Design, build, maintain, and optimise scalable data pipelines using Dagster, Python, and Snowflake.
- Write clean, efficient, well-documented code and ensure quality and scalability of the codebase.
- Ensure high standards of data quality are maintained through extensive unit testing, integration testing, and data monitoring.
- Design and develop complex data models aligned with industry best practices.
- Participate in code reviews, providing constructive feedback to maintain high standards.
- Assist with the design and implementation of our data architecture.
- Stay up-to-date with industry trends and emerging technologies.
Requirements
The next Midniter
Essential Experience:
- 3+ years of experience in a similar role, with a track record of autonomous work and impact.
- Strong expertise in Python and SQL (Snowflake preferred).
- Experience using monitoring and alerting tools.
- Deep understanding of engineering best practices (e.g. unit testing, writing DRY code).
- Hands-on experience with a modern data orchestrator (e.g. Airflow, Dagster, Prefect).
- Knowledge of data modelling concepts and methodologies (Kimball dimensional modelling, data vault, etc.).
- Proficiency with dbt.
- Comfortable working with Git and version control workflows.
Desirable Experience:
- Experience with Snowflake.
- Experience with AWS’s data ecosystem.
- Experience implementing low-latency analytics at scale.
- Experience with infrastructure-as-code (Terraform preferred).
- Experience delivering full end-to-end data products, including data visualisation and BI.
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.
Data Engineer employer: Midnite
At Midnite, we pride ourselves on being a forward-thinking employer that champions innovation and creativity in the fast-paced world of sports betting and gaming. Our remote UK team enjoys a vibrant work culture that promotes high ownership, flexibility, and continuous learning, alongside competitive benefits such as private health insurance, a generous holiday policy, and opportunities for personal growth. Join us to be part of a dynamic environment where your contributions directly shape the future of our platform and where every team member is valued and empowered to make an impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Midnite!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Midnite.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Midnite.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Midnite, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Midnite, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Midnite. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Midnite
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Midnite!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
