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- Tasks: Lead a data engineering team and design scalable data architectures.
- Company: Join a top UK tech and cloud services provider with a modern approach.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career development.
- Why this job: Make a real impact by shaping data strategies that drive business decisions.
- Qualifications: Senior-level experience in data engineering and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
We are recruiting for an experienced Data Engineering Lead, working for one of the UK's leading technology and cloud services providers, as they continue to invest in a modern, scalable Microsoft Fabric data role. This role owns the end-to-end data engineering architecture - from ingestion and lakehouse design to enabling trusted, self-service analytics across the organisation.
You will lead a small engineering team, define technical standards, and work closely with senior stakeholders to ensure data underpins strategic and operational decision-making.
Data Platform & Architecture
- Own the data warehouse schema, lakehouse design, and core data models
- Translate business requirements into pragmatic, scalable data architecture decisions
- Define, implement, and maintain data contracts aligned to business domains
- Establish data quality, observability, and SLA frameworks
Engineering Delivery
- Design and evolve scalable data pipelines (batch and incremental watermark-based ingestion) using:
- Microsoft Fabric Pipelines
- Azure Data Factory
- PySpark / Python Fabric Notebooks
Requirements
- Senior-level experience in data engineering roles
- Experience leading or mentoring data engineers
- Hands-on experience with Microsoft Fabric, including: Workspaces, OneLake, Fabric Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models
- Strong Python and PySpark development capability
- Solid SQL skills for warehouse development and metadata layers
- Proven ownership of production data systems end-to-end
- Wider Azure data platform experience (e.g. Experience in telecoms or cloud-focused environments)
- Experience integrating REST APIs, SFTP, and cloud-based data sources
Lead Data Engineer / Team Lead in Nottingham employer: ECS
Contact Detail:
ECS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer / Team Lead in Nottingham
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a data engineering role. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; show it! Create a portfolio of projects that highlight your data engineering skills, especially with Microsoft Fabric and Python. We recommend sharing this on platforms like GitHub or even your own website to make it easy for potential employers to see what you can do.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. We suggest doing mock interviews with friends or using online resources. Remember, it’s not just about answering questions correctly, but also demonstrating your thought process and problem-solving skills.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and genuinely interested in joining our team.
We think you need these skills to ace Lead Data Engineer / Team Lead in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with Microsoft Fabric, Python, and data architecture 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 your leadership experience can benefit our team. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on relevant projects, don’t hesitate to include them! We love seeing real examples of your work, especially those involving scalable data pipelines and analytics products.
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 ECS
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around Microsoft Fabric and Azure. Brush up on your knowledge of data pipelines, lakehouse design, and how to translate business requirements into scalable architecture. This will show that you can hit the ground running.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be expected to mentor and guide a team. Prepare examples of how you've successfully led teams in the past, handled conflicts, or driven projects to completion. Highlight your experience in conducting performance reviews and developing talent.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be ready to discuss your hands-on experience with Python, PySpark, and SQL. You might also face scenario-based questions about incident management or designing scalable data solutions, so think through your past experiences.
✨Understand the Business Impact
It’s crucial to connect your technical skills to business outcomes. Be prepared to discuss how your work in data engineering has supported strategic decision-making in previous roles. This will demonstrate your ability to align data initiatives with business goals, which is key for this position.