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 making a real impact in communities.
- Benefits: Enjoy a competitive salary, excellent pension, 28+ days leave, and lifestyle perks.
- Other info: Be part of a diverse team committed to innovation and sustainability.
- Why this job: Work with cutting-edge tech to deliver insights that drive meaningful change.
- Qualifications: Experience in data engineering and familiarity with Azure tools preferred.
The predicted salary is between 57094 - 57094 £ per year.
Contract Type: FTC until 31/08/2027 & FTC until 29/03/2028, 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: 6th September 2026
Interview Dates: 14th-16th September 2026 followed by 2nd stage interview being held on 23rd-24th September 2026
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
- Many more
Join our Data Engineering Team at L&Q:
L&Q is one of the UK's largest housing associations and providers of social and affordable homes. We house around 250,000 people primarily across Greater London and Greater Manchester. Our purpose is simple - to provide social homes and landlord services that everyone can be proud of.
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.
Great data powers great decisions. We’re investing in our platform and need sharp, curious engineers to help us deliver faster, smarter insights.
You’ll report to the Lead Data Engineer and be part of our Data Engineering Team, working closely with architects, analysts, testers and delivery squads in an agile, cross-functional setup. You’ll be supported to learn, contribute, and help shape the platform we’re building.
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.
- Experience of the underlying technology to develop data integration layers and associated systems to provide repositories of information.
- Exposure to Semarchy (MDM Solution) would be advantageous.
- Exposure to NEC Housing Management Solution and PL/SQL would be advantageous.
- Exposure to Total Mobile.
If you require any reasonable adjustments at any stage during this process, including application stage, please email.
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. Our purpose is simple - to provide social homes and landlord services that everyone can be proud of.
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: L&Q
L&Q is an exceptional employer, offering a supportive work culture that prioritises employee well-being and development. With a comprehensive benefits package including an excellent pension plan, generous annual leave, and opportunities for community engagement, our team members thrive in a dynamic environment that values diversity and inclusion. Working in the vibrant Southwest London area, you'll have the chance to make a meaningful impact on residents' lives while enjoying the flexibility of mobile working.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like L&Q!
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like L&Q.
✨Apply Directly through Our Website
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We think you need these skills to ace Azure Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at L&Q, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at L&Q. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at L&Q
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at L&Q!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
