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For Companies At a Glance
- Tasks: Lead and mentor a team while building scalable data pipelines on Databricks.
- Company: Join a fast-paced, product-focused tech company with a collaborative culture.
- Benefits: Competitive salary, professional development, and free onsite meals.
- Other info: Dynamic environment with opportunities for growth and flexibility.
- Why this job: Shape the future of data architecture and make a real impact.
- Qualifications: Strong experience with Databricks, Python, and team leadership.
The predicted salary is between 70000 - 90000 £ per year.
The Role
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. 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
- 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)
Data Engineering Manager in Surrey 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 in Surrey
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience with data pipelines.
✨Tip Number 3
Prepare for technical challenges! Brush up on your Python and PySpark skills, and be ready to tackle some coding problems during interviews. We love seeing candidates who can think on their feet!
✨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 genuinely interested in joining our team.
We think you need these skills to ace Data Engineering Manager in Surrey
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineering Manager role. Highlight your hands-on experience with Databricks, Python, and team leadership to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how you’ve successfully led teams in the past. Share specific examples of projects where you’ve made an impact – we love a good story!
Showcase Your Technical Skills: Don’t forget to include any relevant technical skills, especially around building data pipelines and working with APIs. We want to see your expertise shine through, so be specific about your achievements and tools used.
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 don’t miss out on any important updates from our team!
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 integrated APIs. The more concrete examples you can provide, the better!
✨Showcase Your Leadership Style
Since this role involves mentoring a team, think about how you’ve led in the past. Prepare to share your approach to team development and how you’ve helped junior engineers grow. Highlight any specific instances where your leadership made a difference.
✨Emphasise Collaboration
This position thrives on teamwork, so be prepared to talk about how you’ve worked with cross-functional teams in the past. Share examples of successful collaborations with product, front end, and back end teams to demonstrate your ability to work well in a fast-paced environment.
✨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, especially regarding mentorship and collaboration.