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- Tasks: Lead a data engineering team and design scalable data architectures.
- Company: Join one of the UK's top tech and cloud services providers.
- Benefits: Flexible hybrid working, competitive salary, and career development opportunities.
- Other info: Dynamic environment with opportunities to mentor and grow a high-performing team.
- Why this job: Make a real impact by shaping data strategies and driving innovation.
- Qualifications: Senior-level experience in data engineering and strong leadership skills.
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.
Key Responsibilities:
- Take ownership of the organisation's data platform architecture and delivery, ensuring reliable, scalable ingestion pipelines, a well-designed data warehouse, and high-quality analytics products.
- 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.
- Design and evolve scalable data pipelines (batch and incremental watermark-based ingestion) using Microsoft Fabric Pipelines, Azure Data Factory, and PySpark / Python Fabric Notebooks.
- Lead incident management, root cause analysis, and data issue post-mortems.
- Enable self-service analytics through governed Power BI datasets.
- Support and guide the production of trusted Power BI reporting using data contracts.
- Define engineering standards and review pull requests.
- Mentor and develop 2-4 data and cloud engineers.
- Drive the data and warehouse roadmap alongside the Digital Transformation Director.
- Champion CI/CD, secure secret management, and software engineering best practices.
- Deliver and continuously refine a Microsoft Fabric data warehouse supporting business-led decision making.
- Integrate data from diverse sources including APIs, files, databases, and cloud platforms.
- Establish data contracts as a core mechanism for trusted analytics.
- Scale Power BI reporting using standardised, high-quality data products.
- Conduct regular 1:1s, performance reviews, and development planning.
- Recruit, onboard, and develop a high-performing data engineering team.
- Ensure compliance with company policies, legal obligations, and operating procedures.
Qualifications:
- 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.
- Experience in telecoms or cloud-focused environments.
- Experience integrating REST APIs, SFTP, and cloud-based data sources.
Data Engineering - Team Lead in Nottingham employer: ECS
Contact Detail:
ECS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering - Team Lead in Nottingham
✨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 in similar roles. 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 data pipelines and analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Azure Data Factory, PySpark, and building scalable data architectures. We want to see how you can lead a team and tackle real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Data Engineering - Team Lead in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Lead role. Highlight your experience with Microsoft Fabric, data architecture, and team leadership. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your hands-on experience with tools like Azure Data Factory, PySpark, and SQL. We love seeing specific examples of how you've used these technologies in past roles, so be detailed!
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 the role. Plus, it shows you’re keen on joining 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 SQL skills. Being able to discuss these topics confidently will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Leadership Skills
As a Team Lead, you’ll need to demonstrate your ability to mentor and guide others. Prepare examples of how you've led teams or projects in the past, focusing on your approach to incident management and performance reviews. Highlighting your experience in developing high-performing teams will resonate well with the interviewers.
✨Align with Business Goals
Understand how data engineering supports strategic decision-making within the organisation. Be ready to discuss how you would translate business requirements into scalable data architecture decisions. This shows that you can think beyond technicalities and understand the bigger picture.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Brush up on your Python and PySpark skills, and be prepared to solve problems on the spot. Practising coding challenges or discussing past projects can help you articulate your thought process clearly.