At a Glance
- Tasks: Build and maintain scalable data pipelines using Azure tools like Data Factory and Databricks.
- Company: Join L&Q, a leading housing association dedicated to quality homes and community support.
- Benefits: Enjoy competitive salary, excellent pension, 28-31 days annual leave, and lifestyle benefits.
- Other info: Dynamic, inclusive workplace with strong career growth opportunities and a commitment to sustainability.
- Why this job: Make a real impact by delivering clean, reliable data for better decision-making.
- Qualifications: Experience in data engineering, databases, and Azure technologies preferred but not mandatory.
The predicted salary is between 49502 - 57094 £ per year.
Contract Type: FTC until 7th April 2028, Full-Time, 35 hours
Salary: Starting from £57,094 per annum dependent on experience (London weighted salary) or from £49,502 per annum (Regional salary), dependant on experience
Grade: 10
Reporting Office: London, Stratford or Manchester, Trafford
Persona: Agile Worker: 20% - 40% of contractual hours to be worked from reporting office/working location (hybrid working)
Closing Date: 28th May 2026 at 23:00
Interview Date: First stage interviews being held on the 4th-5th June followed by 2nd stage taking place on 10th-12th June. *Please note that in person interviews will be held for at least one of the interview stages for this role.
Benefits include:
- Excellent pension plan (up to 6% double contribution)
- 28 days Annual Leave rising to 31 days with length of service + Bank Holidays
- Westfield Health Cash Plan
- Non-contributory life assurance
- Up to 21 hours volunteering paid days
- Lifestyle benefits
- Employee Assistance Programme and many more…
Join our Data Engineering Team at L&Q:
We’re building a modern data platform on Azure — and this role puts you right in the action. You’ll get hands-on with tools like Data Factory, Databricks, Synapse, Logic Apps and more. It's a chance to work on real, production-grade solutions while sharpening your cloud skills and growing alongside a strong, supportive team.
You’ll design and build scalable, automated data pipelines that bring together information from across the organisation. It’s a hands-on engineering role covering everything from data ingestion to transformation, modelling and delivery — all within a modern Azure environment.
Your impact in the role:
Main duties:
- Build and maintain scalable, automated data pipelines using Azure tools like Data Factory, Databricks, and Logic Apps etc.
- Ingest, transform and model data from multiple sources into our enterprise data platform.
- Optimise data flows for performance, reliability, and reusability — with a driven, analytical, and decisive mindset.
- Support data quality, reconciliation and monitoring processes.
- Work autonomously across the full data lifecycle — from raw source to insight — showing initiative and self-reliance.
Key relationships:
- Data Engineering Team – Collaborate on design, delivery and best practices.
- Solution Architects – Align pipeline design with platform standards and architecture.
- Product Owners – Understand business needs and translate them into technical data solutions.
- Test Analysts – Ensure the integrity and reliability of data delivered to end users.
- Reporting & BI Teams – Provide clean, structured data for dashboards and analytics.
Your engineering work will directly support the department’s goal of delivering clean, connected, and reliable data for the organisation. By automating pipelines, reducing manual effort, and improving data quality, you’ll help speed up delivery and reduce risk. Close collaboration with architects, analysts, and reporting teams ensures we’re building the right things — the right way — to meet evolving business needs, support self-service reporting, and grow our cloud-first data platform.
What you'll bring:
Qualifications:
- Relevant degree or equivalent experience in IT, Computer Science, Data Engineering, or a related field (preferred but not mandatory).
Skills and Experience:
- Experience with databases and analytics, including relational databases (e.g. SQL Server), Data Warehousing, Big Data and business analytics using visualisation tools (Power BI).
- Experience designing solution using Microsoft Azure stacks such as Azure Data Lake, Azure Data Factory, Logic Apps, Azure Data Bricks, Azure functions, Azure Synapse.
- Must have previously worked in Data Warehouse ETL & BI platforms, with a good understanding of DW strategy, architecture, data modelling, schemas following Kimball Methodology.
- Good understanding on Master Data Services, DQ profiling, cleansing, update, DQ reports, Purview.
- Strong experience with at least one of the programming languages (Python, Scala, PySpark).
- Knowledge and experience using the Microsoft technology stack and associated development tools.
- Experience working with SharePoint, PowerPivot, PowerBI and deep knowledge of the underlying technology to develop data integration layers and associated systems to provide repositories of information.
- Experience working with database, storage, collection and aggregation models, delta loading, external data load.
Desirable:
- Exposure to PowerShell Scripting would be advantageous.
- Experience of working in an agile cross-functional delivery squad working with product owners, solution analysts, solution architects and test analysts.
- Awareness and understanding of key DevOps and cloud concepts including CI/CD, Iaas, PaaS and SaaS with enabled multi-disciplined, cross functional capabilities.
- Containerisation experience highly desirable.
- Experienced in designing and coordinating existing pilots, prototypes, or proof of concepts.
- Exposure to Semarchy (MDM Solution) would be advantageous.
- Exposure to NEC Housing Management Solution and PL/SQL would be advantageous.
- Exposure to Total Mobile, Total Repairs and Total Connect Repairs, Management Solution would be advantageous.
If you require any reasonable adjustments at any stage during this process, including application stage, please email lqcareers@lqgroup.org.uk
About L&Q: We’re one of the UK’s leading housing associations and developers. We were founded on a simple belief: high quality housing is vital for people’s health, happiness and security. Everyone deserves a quality home that gives them the chance to live a better life.
250,000 people call our properties ‘home’, and we’re proud to serve diverse communities across London, the South East and North West of England.
People are at the heart of our business and our success depends on employing the best people and getting the best from them. The foundation of everything that we are is built on our corporate values, which outline our core expectations and should be demonstrated at all times, and all levels, when representing L&Q.
At L&Q, we know that diversity and inclusion make us stronger – and they’re at the heart of everything we do. When we recruit, we look at what really matters: your skills, experience, and potential. We’re proud to be recognised for creating an inclusive workplace. We’re a Disability Confident Leader (Level 3) and we’ve introduced our own Recruitment Advocate scheme to make sure every step of our hiring process is fair, transparent, and consistent. It’s all part of our commitment to ending discrimination and making L&Q a place where everyone feels welcome.
Sustainability is also at the heart of what we do. We recognise the responsibility we hold as one of the UK’s largest housing associations.
Azure Data Engineer in London employer: We build homes for sale or rent across the country
L&Q is an exceptional employer, offering a supportive and inclusive work culture that prioritises employee growth and development. With a strong focus on innovation in data engineering, you'll have the opportunity to work with cutting-edge Azure technologies while enjoying generous benefits such as a robust pension plan, extensive annual leave, and paid volunteering days. Located in vibrant areas like London and Manchester, L&Q fosters a collaborative environment where your contributions directly impact the lives of over 250,000 residents, making your work both meaningful and rewarding.
Contact Details:
We build homes for sale or rent across the country Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at L&Q on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for those in-person interviews! Brush up on your Azure tools knowledge and be ready to discuss how you’ve used them in past projects. Show us your hands-on experience with Data Factory, Databricks, and more.
✨Tip Number 3
Practice makes perfect! Get a friend to do a mock interview with you. Focus on articulating your thought process when solving data engineering problems. We want to see your analytical mindset in action!
✨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 at L&Q.
We think you need these skills to ace Azure Data Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Azure Data Engineer role. Highlight your experience with Azure tools and data engineering practices that align with what we're looking for.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve built data pipelines or worked with Azure technologies. We want to see how you can contribute to our team.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that’s easy to read!
Apply Early!:We encourage early applications as we might close the advert sooner than the deadline. Don’t wait until the last minute—get your application in through our website and show us why you’re the perfect fit!
How to prepare for a job interview at We build homes for sale or rent across the country
✨Know Your Azure Tools
Familiarise yourself with the specific Azure tools mentioned in the job description, like Data Factory, Databricks, and Logic Apps. Be ready to discuss how you've used these tools in past projects or how you would approach using them in this role.
✨Showcase Your Data Pipeline Skills
Prepare examples of scalable, automated data pipelines you've built or worked on. Highlight your experience with data ingestion, transformation, and modelling, and be ready to explain your thought process and the challenges you faced.
✨Understand the Agile Environment
Since this role involves working in an agile, cross-functional team, brush up on agile methodologies. Be prepared to discuss how you've collaborated with product owners, architects, and analysts in previous roles to deliver successful projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current projects, challenges they face, and how they measure success. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
