
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer on a permanent or 12-month fixed term contract, offering £55,000-£65,000 (London) or £48,000-£58,000 (Regional). Required skills include Azure Data Factory, Databricks, and ETL experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
295.4545454545
-
🗓️ - Date discovered
August 1, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
Fixed Term
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
London
-
🧠 - Skills detailed
#Data Lake #Databases #Microsoft Power BI #Data Pipeline #SQL Server #Data Lifecycle #SQL (Structured Query Language) #DevOps #ADF (Azure Data Factory) #Data Warehouse #MDM (Master Data Management) #Shell Scripting #Scripting #Agile #Synapse #Spark (Apache Spark) #Data Bricks #PySpark #Data Quality #Python #Security #Data Engineering #SaaS (Software as a Service) #Microsoft Azure #Databricks #Scala #Azure #Azure Data Factory #BI (Business Intelligence) #Big Data #Data Integration #"ETL (Extract #Transform #Load)" #Storage #Computer Science #Strategy #Programming #Data Ingestion #Monitoring #Logic Apps #Cloud
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Title: Azure Data Engineer
Contract Type: Permanent and a 12-month Fixed Term Contract
• As part of your application, please let us know your preferred contract type
Salary: £55,000-£65,000 per annum (London weighted salary) or £48,000-£58,000 per annum (Regional salary) dependant on experience
Reporting Office: London, Stratford or Manchester, Trafford
Persona: Agile (20-40% in the office per week)
Closing Date: 13th August 2025
Interviews to be held on 20th-21st August (first stage) & 26th-27th August 2025 (second stage)
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…
Early applications are encouraged as we reserve the right to close the advertisement and interview earlier than stated.
Azure Data Engineer Role Profile.docx
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.
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.
If this sounds like you, we would love for you to apply!
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
What you'll bring:
Relevant degree or equivalent experience in IT, Computer Science, Data Engineering, or a related field (preferred but not mandatory).
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
Point, 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 experience:
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, Total Repairs and Total Connect Repairs, Management Solution would be advantageous.
We look forward to reviewing your application, and hearing about the genuine experiences and skills you could bring to our organisation. L&Q reserve the right to not accept statements that exceed 500 words.
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.
At L&Q, 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 and behavioural framework, which outlines our core expectations and should be demonstrated at all times, and all levels, when representing L&Q.
L&Q strongly believe a diverse and inclusive workforce is important, and inclusion is part of our core values and everyday working practices. We make hiring decisions based on your experiences, skills and merits and we are recognised externally for our commitment to inclusion. We are a Stonewall Diversity Champion, a Disability Confident (Committed) employer and have signed the Time to Change Employer Pledge to demonstrate our commitment to end mental health discrimination in the workplace. Click here to read more.
If you require any reasonable adjustments at any stage during this process, including application stage, please email lqcareers@lqgroup.org.uk
At L&Q, sustainability is at the heart of what we do. We recognise the responsibility we hold as one of the UK’s largest housing associations.
Click here to find out more about L&Q and why you should join us!
#TJ
Azure Data Engineer
Location: London - Stratford or Manchester - Trafford
Posted: 31/07/2025
Closing date: 13/08/2025
Closing time: 23:59