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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 innovative data solutions.
- Benefits: Enjoy private health insurance, flexible working, and extra holiday after three years.
- Other info: Collaborative environment with opportunities for career growth and team socials.
- Why this job: Shape the future of data engineering while making a real impact in a growing team.
- Qualifications: Strong experience in data engineering with skills in Python, SQL, and modern data tooling.
The predicted salary is between 60000 - 80000 £ per year.
Help scale the data platform that powers decision making across Midnite. Work on core platform improvements, reliable data pipelines, modern data tooling, and lower‑latency analytics foundations supporting 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
- Strong data engineering experience and can operate at senior individual contributor level.
- Brings strong software engineering foundations and production‑grade engineering habits.
- Highly capable with Python and SQL in real data engineering environments.
- 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 to work from home.
- Nursery salary sacrifice scheme to help parents save thousands each year on nursery fees.
- Salary sacrifice schemes for tech and holidays to spread the cost of desired items.
- Retail discounts and subscription perks across a wide range of brands.
- Quarterly team socials to connect, celebrate and have fun together.
Senior Data Engineer in London employer: InfluencerUpdate
Contact Detail:
InfluencerUpdate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Midnite on LinkedIn or other platforms. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, participate in coding challenges or hackathons related to data engineering. It’s a great way to demonstrate your expertise with Python, SQL, and modern data tools.
✨Tip Number 3
Prepare for those interviews by brushing up on your knowledge of data modelling principles and the specific tools mentioned in the job description. We want you to be ready to discuss how you can improve data quality and monitoring!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Midnite.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with Python, SQL, and any modern data tools you've used. We want to see how you can contribute to our data platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you’ve tackled challenges in previous roles. Let us know why you’re excited about joining StudySmarter and how you can help us scale our data platform.
Showcase Your Projects: If you’ve worked on any relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines, monitoring, or analytics. We love seeing real examples of your skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at InfluencerUpdate
✨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 these tools and be ready to discuss how you've used them 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 pipelines, 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 teams and ensure everyone is on the same page.
✨Emphasise Ownership and Collaboration
This role requires a high level of ownership, so be prepared to discuss how you've taken charge of projects in the past. Also, highlight your experience working collaboratively with other engineers and supporting junior team members, as this shows you're a team player.