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- Tasks: Lead the design and development of a cutting-edge Data Platform using Microsoft Fabric.
- Company: Join a forward-thinking organisation focused on innovation and inclusivity.
- Benefits: Competitive salary, annual bonus, 29 days holiday, and hybrid working options.
- Why this job: Make a real impact by shaping the future of data engineering and analytics.
- Qualifications: Strong knowledge of Microsoft Fabric and experience in data engineering required.
- Other info: Opportunity to mentor a growing team and drive strategic innovation.
The predicted salary is between 54000 - 90000 £ per year.
Contract type: Permanent
Hours: Full-time, 35 hours
Location: Head Office, Nottingham (Hybrid working, minimum 2 days per week)
Salary: Up to £90,000 depending on experience.
We’re on an exciting journey to build a brand-new greenfield Data Platform using Microsoft Fabric in Azure, unlocking next generation insights, innovation and personalised experiences for our members.
As our Lead Data Engineer, you’ll take a hands-on role in designing, building and running this capability from the ground up. Partnering with our Head of Data, you’ll set the technical foundations, create engineering standards and develop reusable frameworks that power enterprise grade integration, analytics, AI and regulatory reporting.
This is a unique chance to influence the entire data ecosystem, from architecture and ingestion through to consumption and innovation, in a forward-thinking organisation that champions curiosity, inclusivity and positive change.
Here’s a taste of what you will be doing as a Lead Data Engineer:
- Build a Cutting-Edge Data Platform: Design, develop and operate a scalable, secure and high-performing Data Platform using Microsoft Fabric technologies such as OneLake, Lakehouse/Warehouse, Data Factory, Synapse, Power BI and Fabric pipelines.
- Create Robust Data Integration Frameworks: Develop and maintain ingestion and transformation processes connecting multiple internal and external sources including Sopra Banking Services, Salesforce, CACI and Experian.
- Select the Right Tools for Every Challenge: Choose the most suitable Fabric workloads for each use case, from Data Engineering and Spark to Real-Time Analytics, Data Science and Power BI.
- Define Models and Structures for Insight: Implement data models, Lakehouse structures and orchestration patterns that enable self-service BI, single customer view, regulatory reporting and AI/ML capabilities.
- Champion Data Security and Governance: Establish role-based security patterns, ensure data quality, lineage and observability using Microsoft Purview and other governance tools.
- Embed Modern Engineering Practices: Lead the adoption of DataOps and DevOps principles with Azure DevOps, Git integration, infrastructure-as-code and automated CI/CD pipelines.
- Mentor and Inspire Engineering Excellence: Guide and support a growing team of Data Engineers, promoting best practices, code reviews and continuous improvement.
- Drive Innovation and Strategic Thinking: Act as the technical authority for Microsoft Fabric, stay ahead of emerging features and help shape the Society’s long-term data strategy.
About you:
- Extensive Technical Expertise: Strong knowledge of Microsoft Fabric components including OneLake, Lakehouse/Warehouse, Delta Lake, Direct Lake, Data Factory, Spark (PySpark/Scala) and Power BI (DAX and semantic modelling).
- Advanced Programming and Data Engineering Skills: Proficient in Python, SQL and T-SQL with experience in PySpark; familiarity with KQL for real-time analytics and robust ELT design using medallion architectures.
- Proven Experience in Modern Data Platforms: Track record of building and operating Azure-based data platforms, ideally in greenfield or transformational contexts, with integration across on-premise, cloud and third-party sources.
- Strong Cloud and Governance Knowledge: Hands-on experience with Azure services (ADLS Gen2, Event Hubs, Key Vault, Purview) and governance tools for data quality, lineage and compliance; awareness of AWS/GCP is a plus.
- Expertise in Engineering Best Practices: Skilled in CI/CD, infrastructure-as-code and automation using Azure DevOps; experienced in setting coding standards, reviewing designs and embedding reusable frameworks.
- Leadership and Mentoring Ability: Proven capability to lead or mentor small technical teams, fostering collaboration, code quality and continuous improvement across multi-workstream deliveries.
- Inclusive and Purpose-Led Approach: Collaborative, curious and quality-driven, with strong communication skills to simplify complex topics and align decisions with member-first values and responsible innovation.
- Qualifications and Continuous Learning: Degree or equivalent experience in a technical discipline; Microsoft certifications (DP-203, DP-600, PL-300) or willingness to achieve; commitment to ongoing professional development and learning.
Reward & Benefits:
Competitive Package: Fair salary benchmarked against market data, annual discretionary bonus, and 29 days holiday.
Lead Data Engineer - Nottingham City employer: Nottingham Building Society
Contact Detail:
Nottingham Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Nottingham City
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead Data Engineer role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding Microsoft Fabric inside out. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 3
Showcase your projects! If you've built any data platforms or worked on relevant projects, make sure to highlight them in your discussions. We want to see your hands-on experience and how you can contribute to our greenfield Data Platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you need any adjustments during the process, we’re here to help, so don’t hesitate to reach out.
We think you need these skills to ace Lead Data Engineer - Nottingham City
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 and any relevant projects you've worked on. 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 tell us why you're passionate about data engineering and how you can contribute to our exciting journey. Keep it engaging and personal, and don’t forget to mention your leadership experience.
Showcase Your Technical Skills: In your application, be sure to showcase your technical expertise, especially in Python, SQL, and Azure services. We love seeing specific examples of how you've used these skills in past roles, so don’t hold back!
Apply Through Our Website: Remember to apply through our careers site using the application button. It’s the easiest way for us to receive your application, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Nottingham Building Society
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric components like OneLake, Data Factory, and Power BI. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you've selected the right tools for data integration or analytics challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Demonstrate Leadership and Mentoring Experience
Since this role involves guiding a team, be ready to share examples of how you've mentored others or led projects. Discuss your approach to fostering collaboration and ensuring code quality, as well as any best practices you've implemented.
✨Align with Their Values
Research the company's culture and values, especially their focus on curiosity, inclusivity, and positive change. Prepare to discuss how your personal values align with theirs and how you can contribute to their mission in the role of Lead Data Engineer.
