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- Tasks: Lead a team of Data Engineers and design scalable data pipelines.
- Company: Well-funded startup revolutionising digital advertising with innovative solutions.
- Benefits: Competitive salary, health package, hybrid working, and regular socials.
- Why this job: Shape the future of online advertising and work with top industry minds.
- Qualifications: 6+ years in data engineering and 2+ years managing teams.
- Other info: Join a dynamic team in London and NYC with great career growth.
The predicted salary is between 70000 - 80000 ÂŁ per year.
Our client is a well‑funded startup (c200 people) and readying to scale. They have award‑winning solutions in the fast‑moving digital advertising space with petabyte‑scale proprietary data.
We are seeking a hands‑on Data Engineering Manager to lead a team of Data Engineers and work alongside the Head of Engineering, Principal Data Architect, and the Product team. You will join a Product, Data and Engineering org of 50+ people based out of London and NYC and will create the standard for the data practice and ensure best‑in‑class design and delivery, working across multiple products covering audience insights, analytics and advertising. You'll be relied upon to get the data stack AI‑ready, drive innovation and leverage Agentic development where needed.
Responsibilities:
- Lead and mentor a team of data engineers
- Design and implement scalable data pipelines
- Ensure best‑practice in data architecture
- Work with stakeholders to transform business requirements into technical solutions
- Drive data‑stack standardisation across product lines
Qualifications:
- 6+ years experience as a Data Engineer solving complex, scaled data challenges
- 2+ years managing or mentoring data engineers
- Problem‑solver mindset and creative thinking with data
- Willingness to take responsibility and shape products
- Strong technical communication and ability to distil complex matters to stakeholders
Technical Skills:
- SQL and another language (e.g., Python)
- ELT/ETL
- CI/CD
- Data frameworks
- dbt
- Data processing & orchestration – Airflow or similar
- Google BigQuery or Redshift
- Cloud services – GCP (preferred) or AWS
- Agentic development frameworks
- Automation
Benefits:
- Work alongside some of the brightest minds in advertising technology
- Shape the future of online advertising
- A genuinely memorable experience you will look back on fondly
- Health & Wellness package
- Medical insurance
- Income protection
- Pension
- Life assurance
- Hybrid working (2–3 days) from a Central London office
- Regular socials & treats
Seniority Level: Mid‑Senior level
Employment Type: Full‑time
Job Function & Industries: Technology, Information & Internet, Advertising Services, Data Infrastructure & Analytics
Location: London, England, United Kingdom & New York, United States
We're screening & interviewing right away – apply now if this sounds like you.
Data Engineering Manager in England employer: Diagonal recruitment
Contact Detail:
Diagonal recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your experience aligns with their needs. We want you to shine, so practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 3
Showcase your skills! If you’ve got a portfolio or any projects that demonstrate your data engineering prowess, make sure to bring them up during interviews. We love seeing real examples of your work and how you tackle challenges.
✨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. We’re screening and interviewing right away, so don’t miss out on this opportunity!
We think you need these skills to ace Data Engineering Manager in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Manager role. Highlight your experience with data pipelines, team leadership, and any relevant technical skills like SQL or Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any innovative projects you've worked on that relate to the role.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve complex data challenges. We love a good story about overcoming obstacles, so share specific examples that demonstrate your problem-solving mindset.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands quickly. Plus, it shows us you're keen and ready to join our awesome team!
How to prepare for a job interview at Diagonal recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially SQL and Python. Brush up on your knowledge of ELT/ETL processes and data frameworks like dbt. Being able to discuss these topics confidently will show that you're ready to lead a team of data engineers.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed or mentored data engineers in the past. Think about specific challenges you faced and how you overcame them. This will demonstrate your problem-solving mindset and ability to shape products, which is crucial for this role.
✨Understand the Business Context
Familiarise yourself with the company’s products and how they leverage data for audience insights and analytics. Be ready to discuss how you can transform business requirements into technical solutions. This shows that you can bridge the gap between technical and non-technical stakeholders.
✨Be Ready to Discuss Innovation
Think about how you can drive innovation within the data stack and leverage Agentic development. Prepare to share your ideas on making the data stack AI-ready and how you would standardise data practices across product lines. This will highlight your forward-thinking approach and readiness to contribute to the company's growth.
