Data Engineer

Here at Homes England Data, it’s not just about what we do, but why we do it. We want to make sure that the right number of homes are built in the places that people want to live, supporting affordable housing and home ownership, and regeneration. This is a rare chance to shape the future data engineering landscape in a fast‑growing, national organisation with real social purpose. Working with key stakeholders and a professional Digital Services team you will ensure efficient, consistent, and effective resolution of engineering challenges and help create a first‑class data platform for data practitioners across Homes England.

As a Data Engineer you will play a critical role in the development of our Azure Data Platform. You will be helping to grow our team of talented data professionals, who are committed to making Homes England a data‑led organisation. To deliver this you will be using the latest tools and technologies such as Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure DevOps and Terraform alongside languages such as Python, PySpark and SQL. Deploying pipelines through CI/CD practices. You will work with data, digital and technology colleagues collaboratively, taking an innovative and creative approach to deliver key strategic projects around automated analytics and reporting.

We value diversity in experience and perspective to foster good decision making and problem solving within our team. There are exciting and ambitious projects to get involved with and this is an excellent opportunity to balance day‑to‑day delivery whilst providing an environment to learn and stay up to date with current tools and technologies.

Successful candidates must undergo a criminal record check. People working with government assets must complete checks. Nationality requirements: This job is broadly open to the following groups:

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• UK nationals
  
• Nationals of the Republic of Ireland
  
• Nationals of Commonwealth countries who have the right to work in the UK
  
• Nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre‑settled status under the
  
• Nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre‑settled status under the European Union Settlement Scheme (EUSS)
  
• Individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
  
• Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
  

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• You are resilient and comfortable managing and communicating with stakeholders across the business. Your discussions will always be shaped by a good understanding of the commercial and operational impact of what we do as an engineering team. You enjoy working in an innovative, fun and engaging way while delivering high quality solutions.
  
• You will be able to design and deliver pipelines to copy data from various sources, transform this data based on the requirements of the analysis and business teams and present this data in an accessible and consistent way.
  
• To deliver this you will have preferably worked with cloud technologies and have a good level of coding skills (preferably Python, PySpark and SQL). Solutions you deliver should be reusable and scalable with a focus on consistency and maintainability.
  
• You will be able to review existing processes and improve them while thinking about better cost efficiency and performance. As part of this you should have a desire to learn and explore new technologies.
  
• As an experienced data professional, you’ll understand how to manage relationships with colleagues and be able to demonstrate you can work with others as part of a team in a collaborative, inclusive way.
  

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• Experience of delivering data solutions using cloud technologies (preferably Azure)
  
• Experience of coding and automating data pipelines using languages such as Python, PySpark and SQL
  
• Experience of working with large and complex data environments
  
• Evidence of adaptability with the ability to learn new technologies and methodologies
  
• Experience developing and maintaining effective working relationships with technical and non‑specialist colleagues
  
• Experience of translating business problems into technical solutions
  
• Experience in a role that includes problem solving, analytical and logical skills
  

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• Holiday – 33 days annual leave per year in addition to 8 statutory bank holidays.
  
• Working flexibly – a strong culture of flexible working with part‑time, job share and compressed hours options.
  
• Health and wellbeing – health screening with Nuffield Proactive Health Clinics, a free Employee Assistance Programme offering confidential support 24 h a day 7 days a week, and access to Occupational Health.
  
• Professional development – up to one job‑related professional membership subscription per year, and an excellent range of family‑friendly benefits such as maternity, paternity and shared parental leave.
  

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