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- Tasks: Lead and mentor a team while building scalable data pipelines on Databricks.
- Company: Fast-paced tech company focused on product development and collaboration.
- Benefits: Free onsite meals, gym access, and strong investment in your growth.
- Other info: Dynamic office culture with opportunities for career advancement.
- Why this job: Shape the future of data architecture and make a real impact.
- Qualifications: Experience with Databricks, Python, and team leadership.
The predicted salary is between 70000 - 90000 £ per year.
Are you a hands on Data Engineering leader who loves building high impact data platforms while mentoring and growing teams? We’re hiring a Data Engineering Manager to join a fast moving, product focused environment where collaboration is high, decisions are quick, and your work will directly shape real products used by the business.
The Role
This is a true player coach position, roughly 50% hands on engineering and 50% team leadership. You’ll lead a small but growing team of Data Engineers (currently 5, mostly junior), helping them mature technically while remaining deeply involved in building and optimising modern data pipelines on Databricks. The team works in a highly collaborative office environment, enabling rapid delivery and close cross functional teamwork.
What You’ll Be Doing
- Leading and mentoring a team of Data Engineers
- Designing and building scalable data pipelines in Databricks
- Remaining hands on with Python/PySpark development
- Working closely with product, frontend, and backend teams
- Driving best practice across the data platform
- Helping shape the future data architecture
What We’re Looking For
- Strong commercial experience with Databricks
- Advanced Python and PySpark
- Experience working with API based data ingestion
- Familiarity with Azure storage connectivity
- Prior technical leadership or mentoring experience
Nice to have:
- Experience with Dynamics integrations
- Background in product or startup environments
Working Pattern
- Predominantly onsite role
- Expected 5 days/week initially to embed with the team
- Increased flexibility likely after initial onboarding
- Fast paced, highly collaborative office culture
Why Join?
- High impact role in a growing data function
- Strong investment in people and development
- Free onsite restaurant (breakfast, lunch & snacks)
- Fully equipped onsite gym
- Collaborative, delivery focused culture
- Opportunity to shape and scale a modern Databricks platform
If you are looking for your next exciting opportunity please apply today and I will be in touch!
Data Engineering Manager in England employer: Primus Connect
Contact Detail:
Primus Connect 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 data engineering field and let them know you're on the lookout for a new role. You never know who might have the inside scoop on opportunities that aren't even advertised yet.
✨Tip Number 2
Get involved in relevant communities! Join online forums, attend meetups, or participate in hackathons related to data engineering. This not only helps you learn but also puts you in touch with potential employers who value hands-on experience.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your expertise in Databricks, Python, and PySpark. When you apply through our website, include links to your work so hiring managers can see your capabilities in action.
✨Tip Number 4
Prepare for interviews by practising common technical questions and scenarios. Since this role is about mentoring and leading, be ready to discuss your leadership style and how you've helped teams grow in the past. We want to see your passion for building high-impact data platforms!
We think you need these skills to ace Data Engineering Manager in England
Some tips for your application 🫡
Show Your Hands-On Experience: Make sure to highlight your hands-on experience with Databricks and Python/PySpark in your application. We want to see how you've built and optimised data pipelines, so share specific examples that showcase your skills!
Emphasise Team Leadership: Since this role involves mentoring a growing team, don’t forget to mention any previous leadership or mentoring experiences. We love seeing how you’ve helped others grow and succeed in their roles!
Tailor Your Application: Take the time to tailor your application to our job description. Use similar language and focus on the aspects of your experience that align with what we’re looking for. It shows us you’re genuinely interested in the role!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to shine in front of our hiring team!
How to prepare for a job interview at Primus Connect
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with building scalable data pipelines and how you've optimised them in the past. This will show that you're not just a leader but also a hands-on engineer who can contribute directly.
✨Showcase Your Mentoring Skills
Since this role involves leading a team of mostly junior Data Engineers, be prepared to share specific examples of how you've mentored others in the past. Highlight any strategies you've used to help team members grow technically and how you foster collaboration within your team.
✨Prepare for Technical Questions
Expect some technical questions around Python and PySpark during the interview. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data engineering scenarios can give you an edge and demonstrate your hands-on capabilities.
✨Understand the Company Culture
Familiarise yourself with the company's collaborative and fast-paced environment. Be ready to discuss how you thrive in such settings and provide examples of how you've successfully worked cross-functionally with product, frontend, and backend teams in the past.