At a Glance
- Tasks: Design and build a cutting-edge Data Platform using Microsoft Fabric technologies.
- Company: Join a forward-thinking organisation that champions curiosity and inclusivity.
- Benefits: Competitive salary, annual bonus, 29 days holiday, and hybrid working.
- Other info: Opportunity for professional development and to mentor a growing team.
- Why this job: Influence the entire data ecosystem and drive innovation in a dynamic environment.
- Qualifications: Strong knowledge of Microsoft Fabric, advanced programming skills, and leadership experience.
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 Nottingham Building Society:
- 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.
- Choose the most suitable Fabric workloads: for each use case, from Data Engineering and Spark to Real-Time Analytics, Data Science and Power BI.
- 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.
- 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.
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.
- 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.
- 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.
- Skilled in CI/CD: infrastructure-as-code and automation using Azure DevOps; experienced in setting coding standards, reviewing designs and embedding reusable frameworks.
- Proven capability to lead or mentor small technical teams: fostering collaboration, code quality and continuous improvement across multi-workstream deliveries.
- Collaborative, curious and quality-driven: with strong communication skills to simplify complex topics and align decisions with member-first values and responsible innovation.
- Microsoft certifications: (DP-203, DP-600, PL-300) or willingness to achieve; commitment to ongoing professional development and learning.
Fair salary benchmarked against market data, annual discretionary bonus, and 29 days holiday plus.
Lead Data Engineer SQL AWS in Nottingham employer: Nottingham Building Society
Join Nottingham Building Society as a Lead Data Engineer and be part of an innovative team dedicated to building a cutting-edge Data Platform. With a strong focus on inclusivity, curiosity, and professional growth, we offer a collaborative work culture that encourages continuous learning and development. Enjoy competitive benefits including a fair salary, annual discretionary bonus, and generous holiday allowance, all while working in a hybrid environment that promotes work-life balance.
Contact Details:
Nottingham Building Society Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer SQL AWS in Nottingham
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We think you need these skills to ace Lead Data Engineer SQL AWS in Nottingham
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