At a Glance
- Tasks: Lead delivery of complex data engineering solutions and mentor high-performing teams.
- Company: Leading data consultancy specialising in modern cloud-based data platforms.
- Benefits: Competitive salary, career development, and a collaborative culture.
- Other info: Opportunity for continuous learning and exposure to enterprise-scale programmes.
- Why this job: Shape strategy and influence technical direction in a high-impact environment.
- Qualifications: Strong data engineering background with leadership experience and hands-on expertise.
The predicted salary is between 90000 - 100000 € per year.
We're working with a leading data consultancy who specialise in delivering modern, cloud-based data platforms across a broad range of industries. They partner closely with clients to design and deliver scalable, high-quality data solutions using cutting‑edge Microsoft technologies. This is an ideal role for a seasoned consultant who enjoys a blend of strategy, leadership, and hands‑on engineering.
As a Data Engineering Manager, you will play a key role in both delivery and business growth:
- Lead end-to-end delivery of complex data engineering solutions
- Design and implement modern data platforms, pipelines, data lakes, and warehouses
- Drive pre‑sales activities, including solution design, estimations and proposals
- Act as a technical SME across Microsoft data technologies
- Mentor and develop high‑performing engineering teams
- Work closely with senior stakeholders to translate business requirements into scalable solutions
- Lead workshops, client presentations and technical demonstrations
- Ensure best practices across governance, security and data engineering standards
Essential experience:
- Strong background in data engineering within a consulting or client-facing environment
- Proven experience leading teams and delivering complex programmes
- Hands‑on expertise with Spark, SQL and cloud data platforms
- Experience designing and building data pipelines, warehouses and lakes
- Strong understanding of ETL, data modelling and cloud architectures
- Excellent stakeholder management and communication skills
What's on Offer:
- Exposure to high‑impact, enterprise‑scale data programmes
- Strong emphasis on career development and continuous learning
- Opportunity to shape strategy and influence technical direction
- Collaborative, high-performance culture with a focus on innovation
- Competitive salary and benefits package
Data Engineering Manager in Manchester employer: Jefferson Frank
Join a leading data consultancy that champions innovation and collaboration, offering a dynamic work environment where your expertise as a Data Engineering Manager will be valued. With a strong emphasis on career development and exposure to high-impact projects, you'll have the opportunity to shape strategy and influence technical direction while working with cutting-edge Microsoft technologies. Enjoy a competitive salary and benefits package in a culture that prioritises continuous learning and high performance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in Manchester
✨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 opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Spark, SQL, and cloud platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've led teams and delivered complex data solutions, as well as how you handle stakeholder management.
✨Tip Number 4
Don't forget to apply through our website! We have some fantastic opportunities that align with your expertise. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Engineering Manager in Manchester
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 expertise with Spark, SQL, and cloud data platforms, as well as your leadership experience in delivering complex programmes.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led teams and delivered data solutions, and don’t forget to mention your stakeholder management skills!
Showcase Your Technical Skills:In your application, be sure to emphasise your technical knowledge, especially around Microsoft data technologies. We want to see your understanding of ETL processes, data modelling, and cloud architectures clearly laid out.
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’re considered for this exciting opportunity to shape strategy and influence technical direction.
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Spark, SQL, and cloud data platforms. Be ready to discuss your hands-on experience with these technologies, as well as any specific projects where you've implemented them. This will show that you're not just familiar with the tools, but that you can leverage them effectively in real-world scenarios.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your ability to lead teams and deliver complex programmes. Prepare examples of how you've mentored team members or led successful projects. Highlight your approach to stakeholder management and how you've translated business requirements into technical solutions.
✨Prepare for Pre-Sales Discussions
Since the role involves driving pre-sales activities, think about how you would approach solution design and estimations. Be ready to discuss your experience in crafting proposals and how you've engaged clients in workshops or presentations. This will illustrate your strategic thinking and client-facing skills.
✨Understand Governance and Best Practices
Familiarise yourself with best practices in governance, security, and data engineering standards. Be prepared to discuss how you've ensured compliance in past projects and how you would implement these standards in future roles. This shows that you take data integrity seriously and are committed to maintaining high-quality standards.
