At a Glance
- Tasks: Lead data projects, design solutions, and mentor junior engineers.
- Company: Join a top Data Engineering consultancy partnered with Databricks and Microsoft.
- Benefits: Enjoy a competitive salary, remote work, and professional growth opportunities.
- Other info: This role is UK-based; no visa sponsorship available.
- Why this job: Make a real impact in data and AI while working with diverse clients.
- Qualifications: 5+ years in Data Engineering, strong skills in Databricks, Python, and SQL.
The predicted salary is between 60000 - 84000 € per year.
Data Engineering Manager | £85,000–£95,000 + Benefits | Hybrid (UK)
A growing UK data and AI consultancy is hiring a Data Engineering Manager to join their engineering leadership team. This is a newly created role, sitting alongside the Head of Engineering and one other manager, designed to share the load as the practice scales.
You'll split your time roughly 80/20 between client delivery and technical pre-sales. On the delivery side, you'll lead engagements across the Microsoft data stack and Databricks, working with hybrid onshore/offshore teams. You'll stay hands-on — particularly on the trickier work — while coaching a small group of consultants through their development, 1-2-1s and progression.
On the pre-sales side, you'll partner closely with the growth team and key partners (Microsoft, Databricks) on pitches, workshops and RFIs. You won't own the commercial cycle, but you'll be the technical credibility in the room.
What we're looking for
- A consulting background - you understand client delivery in a professional services environment
- Strong hands-on data engineering on Microsoft and/or Databricks
- Experience line-managing or coaching engineers (even one or two reports is fine if the rest fits)
- The credibility and presence to be put in front of clients and partners
- Genuine interest in being part of building a capability, not just delivering tickets
What's on offer
- £85,000–£95,000 base (some flex for the right person)
- Private medical, electric car scheme, pension, discretionary bonus
- Flexible location across UK core offices, with client travel a couple of times a month
- Visible, varied role with real input into how the engineering practice grows
Lead Data Engineer employer: Primus Connect
Join a dynamic and innovative team as a Lead Data Engineer at one of Europe’s fastest-growing consultancies, where you will have the opportunity to work remotely from the UK while shaping the future of data and AI. With a strong focus on employee growth, mentorship, and collaboration, this company offers competitive salaries, comprehensive benefits, and a vibrant work culture that values creativity and impact. Be part of a forward-thinking organisation that not only supports your professional development but also encourages you to lead and innovate in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks and Spark by exploring their documentation and online tutorials. This will not only boost your confidence but also demonstrate your commitment to mastering the tools that are crucial for the role.
✨Tip Number 2
Engage with the data engineering community on platforms like LinkedIn or relevant forums. Networking can lead to valuable insights about the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms like Azure, AWS, or GCP in detail. Be ready to share specific examples of projects where you've implemented data solutions, as this will showcase your hands-on expertise.
✨Tip Number 4
Highlight your mentoring experience and ability to lead teams during discussions. Since the role involves supporting junior engineers, demonstrating your leadership skills will set you apart from other candidates.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Engineering, particularly with Databricks, Spark, and cloud environments. Use specific examples that demonstrate your skills in building data pipelines and working with clients.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data and AI. Mention your relevant experience, how you can contribute to the company, and why you're excited about this particular role. Be sure to align your skills with the job description.
Showcase Your Technical Skills:In your application, include a section that lists your technical skills, especially those mentioned in the job description like Python, SQL, and cloud platforms. Consider providing links to any relevant projects or GitHub repositories.
Highlight Leadership Experience:Since this is a Lead position, emphasise any previous leadership roles or mentoring experiences you have had. Discuss how you've supported junior engineers or contributed to team growth in your past roles.
How to prepare for a job interview at Primus Connect
✨Showcase Your Technical Skills
As a Lead Data Engineer, you'll need to demonstrate your proficiency with Databricks, Spark, and cloud platforms. Be prepared to discuss specific projects where you've used these technologies, and consider bringing examples of your work or code snippets to illustrate your expertise.
✨Prepare for Client-Facing Scenarios
Since the role involves direct client interaction, practice articulating complex data concepts in a way that's easy for non-technical stakeholders to understand. Think about past experiences where you've successfully communicated technical solutions to clients and be ready to share those stories.
✨Emphasise Your Leadership Qualities
This position requires mentoring junior engineers and leading teams. Prepare to discuss your leadership style, how you approach mentoring, and any relevant experiences where you've guided others in their professional development.
✨Understand the Company's Vision
Research the consultancy's recent projects and their approach to data engineering and AI. Being knowledgeable about their work will not only help you answer questions more effectively but also allow you to ask insightful questions that show your genuine interest in contributing to their mission.
