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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 professional 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 in a growing team.
- Qualifications: Experience with Databricks, Python, and mentoring junior engineers.
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 are 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. 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, Front End, and Back End teams
- Integrating multiple data sources, including APIs
- Driving best practice across the data platform
- Helping shape the future data architecture
What We’re Looking For:
Essential:
- Strong commercial experience with Databricks
- Advanced Python and PySpark
- Solid SQL skills
- Experience building production data pipelines
- 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
- Broader Azure ecosystem exposure
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
Data Engineering Manager employer: Primus Connect Ltd
Contact Detail:
Primus Connect Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨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 hunt for a new role. You never know who might have the inside scoop on opportunities or can refer you directly to hiring managers.
✨Tip Number 2
Get hands-on with your skills! Brush up on your Python and PySpark abilities by working on personal projects or contributing to open-source. This not only keeps your skills sharp but also gives you real examples to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Engineering Managers and practice your responses. Be ready to showcase your leadership style and how you've mentored teams in the past—this is key for a player-coach role.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with Databricks and team leadership, and don’t forget to show your passion for building impactful data platforms.
We think you need these skills to ace Data Engineering Manager
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 team of Data Engineers, don’t forget to mention your previous leadership experiences. We love seeing how you've helped others grow and develop their skills, so tell us about your coaching style!
Be Collaborative: Our environment thrives on collaboration, so let us know how you've worked closely with cross-functional teams in the past. Share any experiences where you integrated multiple data sources or collaborated with product teams to deliver results.
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 get to know you better. Plus, it shows you're keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Primus Connect Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, Python, and PySpark skills. Be ready to discuss specific projects where you've built data pipelines or worked with APIs. The more detailed examples you can provide, the better!
✨Showcase Your Leadership Style
Since this role involves mentoring a team, think about how you’ve led others in the past. Prepare to share your approach to team development and how you’ve helped junior engineers grow their skills.
✨Emphasise Collaboration
This position thrives on teamwork, so be prepared to talk about how you’ve collaborated with product, front-end, and back-end teams. Highlight any experiences where cross-functional collaboration led to successful outcomes.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data architecture and future plans. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.