At a Glance
- Tasks: Lead and deliver complex data engineering solutions using cutting-edge Microsoft technologies.
- Company: Leading data consultancy with a focus on modern, cloud-based data platforms.
- Benefits: Competitive salary, career development, and a collaborative culture.
- Other info: Dynamic environment with a strong emphasis on continuous learning and innovation.
- Why this job: Shape strategy and influence technical direction in high-impact data programmes.
- Qualifications: Strong data engineering background, team leadership, and hands-on expertise with Spark and SQL.
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 Sheffield employer: Jefferson Frank
Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in Sheffield
✨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. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Be ready to discuss your hands-on experience with Spark, SQL, and cloud platforms, as well as how you've led teams to success.
✨Tip Number 3
Don’t just wait for job openings to pop up! Actively reach out to companies you admire, like the leading data consultancy we work with. Express your interest and share how your skills can help them deliver top-notch data solutions.
✨Tip Number 4
When you land that interview, remember to highlight your stakeholder management skills. Show how you've translated business requirements into scalable solutions and led successful projects. This is your chance to shine!
We think you need these skills to ace Data Engineering Manager in Sheffield
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 how you would engage with clients during this phase and what strategies you would use to present proposals effectively.
✨Understand the Business Side
It's crucial to connect technical solutions with business outcomes. Familiarise yourself with the consultancy's clients and industries they serve. Be prepared to discuss how you can align data engineering solutions with their strategic goals, ensuring you can speak the language of both tech and business.
