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- 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.
- 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.
- Other info: Opportunity for professional development and to mentor a growing team.
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
Contact Detail:
Nottingham Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer SQL AWS in Nottingham
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric and Azure. This is your chance to demonstrate your hands-on experience and technical prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Think about how you’d tackle building a data platform or integrating various data sources. Practice makes perfect, and we want you to nail it!
✨Tip Number 4
Don’t forget to 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 genuinely interested in joining our journey at StudySmarter.
We think you need these skills to ace Lead Data Engineer SQL AWS in Nottingham
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, SQL, and AWS, and don’t forget to showcase any relevant projects that demonstrate your skills in building data platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity at StudySmarter. Mention how your background aligns with our mission and the specific responsibilities of the role.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise, especially in Python, T-SQL, and Azure services. We want to see how you’ve applied these skills in real-world scenarios, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team!
How to prepare for a job interview at Nottingham Building Society
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric and its components like OneLake, Data Factory, and Power BI. Brush up on your SQL and Python skills, as well as your experience with Azure services. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be guiding a team, so be prepared to talk about your leadership style. Share examples of how you've mentored others or led projects, and highlight your approach to fostering collaboration and continuous improvement within a team.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially in data integration and governance. Prepare to discuss challenges you've faced in previous roles and how you overcame them, particularly in building scalable data platforms or implementing data security measures.
✨Align with Their Values
This organisation values curiosity, inclusivity, and positive change. Be ready to share how you embody these values in your work. Discuss any initiatives you've taken to promote diversity or innovation in your previous roles, and how you can contribute to their mission.