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- Tasks: Build and maintain scalable data pipelines and create robust data models.
- Company: Leading tech-driven company reshaping property management across the UK.
- Benefits: Competitive salary, hybrid work, and a supportive culture.
- Why this job: Make a real impact on national estates with innovative data solutions.
- Qualifications: 5+ years as a Data Engineer, proficient in Python and T-SQL.
- Other info: Join a collaborative team focused on talent and innovation.
The predicted salary is between 60000 - 70000 £ per year.
This company is leading the way in reshaping how property is managed across the UK. Blending technology, insight, and people, they’re on a mission to create smarter, more sustainable estates. This Senior Data Engineer role is central to that mission, building data platforms that power informed decisions at scale.
Role Overview:
- Location: Leicestershire, 1 day per week in the office
- Package: £60,000- £70,000pa & Benefits
- Industry: Property & Facilities Management
What You’ll Be Doing:
- Building and maintaining scalable data pipelines using Microsoft Fabric, Data Factory, OneLake, Dataflows, and Notebooks.
- Creating robust data models to support analytics and reporting functions.
- Integrating and transforming data from cloud and on-premise sources using metadata-driven processes.
- Developing secure, governed multi-tenant data environments with row- and tenant-level access controls.
- Ensuring data quality, consistency, and compliance across the stack, aligned with industry standards like Uniclass and SFG20.
- Collaborating with analysts and developers to turn business requirements into scalable data solutions.
- Monitoring performance and cost efficiency across Microsoft Fabric components.
- Writing clean, testable code and contributing to DevOps pipelines and deployment practices.
- Producing clear technical documentation for workflows, architectures, and configurations.
Main Skills Needed:
- 5+ years of experience as a Data Engineer, ideally with Microsoft Fabric.
- Proficiency in Python, T-SQL, Power Query, and KQL.
- Solid knowledge of Azure DevOps and CI/CD best practices.
- Experience with secure multi-tenant data architectures (RLS and TLS).
- Familiar with Microsoft Purview and RBAC governance frameworks.
- Strong problem-solving skills and a structured, analytical mindset.
- A background in Facilities Management or Property would be desirable.
- Exposure to ML lifecycle and deployment, ideally with Azure ML or similar platforms.
What’s in It for You:
- Work in a growing data team with a meaningful impact on national estates.
- Hybrid flexibility with a Leicester base.
- Join a tech-first, insight-driven company making real change in the property sector.
- Chance to build scalable, modern data solutions that matter.
- Supportive, collaborative culture that values talent and innovation.
Think it could be a fit? We’d love to hear from you.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior Data Engineer in Leicester employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Leicester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Microsoft Fabric and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how they align with the company's mission of creating smarter estates.
✨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, it shows you’re genuinely interested in joining our team and making a difference in the property sector.
We think you need these skills to ace Senior Data Engineer in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your proficiency in Microsoft Fabric, Python, and any relevant data engineering projects you've worked on. We want to see how you can contribute to our mission!
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 your background aligns with our goals at StudySmarter. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any notable data projects, don’t hesitate to mention them! Whether it's building scalable data pipelines or integrating cloud sources, we want to know what you've done and how it relates to the role. Visuals or links to your work can be a great addition!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Addition+
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Microsoft Fabric, Data Factory, and Python. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Be specific about the problem, your approach, and the outcome. This will demonstrate your analytical mindset and ability to deliver scalable solutions.
✨Understand the Business Context
Familiarise yourself with the property and facilities management industry. Knowing how data impacts decision-making in this sector will help you connect your technical skills to the company’s mission of creating smarter estates.
✨Prepare for Collaboration Questions
Since the role involves working closely with analysts and developers, think of examples where you’ve successfully collaborated on projects. Highlight your communication skills and how you’ve turned business requirements into effective data solutions.