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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines using Python, SQL, and modern data tools.
- Company: Join a dynamic tech company focused on data-driven decision making.
- Benefits: Enjoy private health insurance, flexible working, and generous holiday policies.
- Other info: Be part of a diverse team committed to inclusivity and growth.
- Why this job: Shape the future of data engineering in a high-ownership role.
- Qualifications: Strong experience in data engineering with Python and SQL.
The predicted salary is between 85000 - 100000 £ per year.
The Role
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.
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.
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.
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 Limited
Contact Detail:
Midnite Limited 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 folks in the industry, especially those already at Midnite. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects showcasing your data engineering prowess, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical challenges! Brush up on your Python and SQL skills, and be ready to tackle some real-world problems during the interview. Practice makes perfect, so don’t skip this step!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of our community from the get-go, which is always a bonus!
We think you need these skills to ace Senior Data Engineer
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 like Snowflake or dbt. 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! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Projects: If you've worked on any interesting data engineering projects, don't hesitate to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to build scalable data pipelines and improve data quality.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Midnite Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, Snowflake, and AWS. Brush up on your knowledge of data pipelines and modern data tooling, as you’ll likely be asked to discuss your experience with these tools during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed and built scalable data pipelines. Highlight your role in these projects, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since you'll be working closely with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between different teams and ensure everyone is on the same page.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.