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- Tasks: Lead the design and implementation of modern data solutions using Microsoft Fabric and Azure.
- Company: Join a forward-thinking consultancy with a focus on innovation and client success.
- Benefits: Enjoy 25 days holiday, flexible working, top tech, and private medical healthcare.
- Why this job: Shape the future of data engineering while making a real impact for clients.
- Qualifications: 5+ years in data engineering, strong skills in Microsoft Fabric, and client-facing experience.
- Other info: Opportunity for career growth into Data Architect or Team Lead roles.
The predicted salary is between 36000 - 60000 £ per year.
The Lead Data Engineer supports Nasstar’s Data & AI Apps practice in designing, building and operationalising modern analytics and data platform solutions on Microsoft Fabric and Azure. The role is hands on and delivery focused, leading technical implementation of robust data pipelines and data models that enable BI, Generative BI, and Fabric Data Agents.
You’ll work in a consultancy, client facing environment helping customers shape requirements, establish best practices (including medallion architecture), and deliver production grade outcomes. As the team grows, this role is designed to develop into a Data Architect / Team / Capability Lead position, including potentially line management as the team grows. The role is remote within the UK but there will be some travel to client sites or Nasstar offices as required.
Key Responsibilities- Data engineering and platform delivery – Design and implement Fabric data solutions using medallion architecture, including ingestion, transformation, and curated serving layers across Lakehouse/Warehouse, Data Factory and Notebooks.
- BI, semantic models and Generative BI enablement – Deliver Power BI semantic models and reporting experiences; structure curated data products and metadata to enable Generative BI and Fabric Data Agents.
- Engineering excellence (DevOps, quality, observability) – Implement CI/CD, testing and data quality checks; monitor and troubleshoot performance across pipelines, models and reports.
- Client consulting and delivery leadership – Run workshops and backlog refinement, translate requirements into technical plans, and produce clear documentation and handover artefacts.
- Team growth and future leadership path – Coach junior engineers, help define standards and templates, and progressively take ownership of solution level design as a future Data Architect / Team/ Capability Lead.
- Microsoft certification (or commitment to obtain within 12 months): Fabric Analytics Engineer Associate and/or Azure Data Engineer Associate.
- 5+ years’ commercial experience in data engineering / analytics delivery.
- Strong hands on delivery with Microsoft Fabric (Lakehouse/Warehouse, Data Factory, Notebooks) and/or modern Azure data platforms.
- Client facing consultancy experience: running workshops, translating requirements, and presenting solutions.
- Proven experience designing medallion architecture patterns and delivering curated data products; experience building and operating Power BI solutions (semantic models, DAX, performance, RLS).
- Strong Python for notebooks, transformations, and automation; confident SQL.
- Comfortable with Git, DevOps practices, and CI/CD approaches.
- Strong communication skills: can explain technical decisions in plain English and build trust with stakeholders.
- 25 days’ holiday (excluding bank holidays) + Your Birthday Off
- Flexible working – it’s important to maintain a work/life balance, as such, we will consider any written request for flexible working
- Virtual working – we practice what we preach and empower our people to work remotely
- Top tech – Leading services and solutions aren’t just for our clients; we supply best-of-breed software and hardware for all our staff too
- 4x annual salary life assurance
- Private Medical Healthcare
- Retail discounts and other perks from major brands
Lead Data Engineer employer: Nasstar
Contact Detail:
Nasstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Microsoft Fabric or Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving medallion architecture and Power BI solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with CI/CD, DevOps practices, and how you've successfully led client workshops. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're genuinely interested in being part of the StudySmarter team.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Microsoft Fabric, Azure, and any relevant projects that showcase your data engineering skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your skills align with our needs. Don’t forget to mention your client-facing experience and how you’ve successfully led projects in the past.
Showcase Your Technical Skills: We’re looking for hands-on experience, so be sure to highlight your proficiency in Python, SQL, and any DevOps practices you've implemented. Mention specific tools and technologies you've used, especially those related to data pipelines and BI solutions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Nasstar
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric, Azure data platforms, and medallion architecture. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Consultancy Skills
Prepare examples of how you've successfully run workshops or translated client requirements into technical plans. Being able to communicate complex ideas in simple terms is key, so practice explaining your past projects clearly.
✨Demonstrate Leadership Potential
Since this role has a future leadership path, think about times you've coached junior engineers or taken ownership of projects. Be ready to discuss how you can contribute to team growth and define standards.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data engineering and their expectations for the role. This shows your genuine interest and helps you assess if it’s the right fit for you.
