Come along and meet us at our in-person recruitment event in Manchester on 15th March. It’s a great chance to connect, meet and potentially get hired.

Here at the Department for Levelling Up, Housing and Communities (DLUHC), we work on things that make a real difference to people’s lives. 

Find out more about what it's like to work in a digital, data and technology role at DLUHC including our culture, ways of working, career progression and staff benefits. You can also read the DLUHC Digital blog to learn about the work we're doing. 

What you’ll do as a Senior Data Engineer

• Lead work streams on developing and delivering business-as-usual data, reporting and analytics output for data products and digital services. 

• Work closely with Data analysts and scientist colleagues to develop robust processes for managing and automating regular outputs. 

• Feed into development priorities to understand potential efficiencies and savings in automated processes, to deploy and manage resources appropriately. 

• Communicate plans and timescales to enable onward management of key stakeholders and provide regular updates. 

• Embed improved ways of working with data across the wider team, including automation of manual tasks and data assurance. 

• Develop and implement new technologies to support robust and accurate data management, ensuring documentation, data dictionaries, and data lineage information is readily available across a range of stakeholders. 

• Provide robust data models to support required reporting and ensure data processes are efficient and reliable. This will include ensuring accuracy of data by implementing a robust quality assurance framework to guarantee decisions and actions are based upon reliable and accurate data. 

• Lead on the delivery of physical data models and views to enable visualisation of metrics and the provision of insightful analysis for data science projects. 

What we’re looking for

• Working knowledge and experience with ETL and data integration, including use of APIs and data exchange with various source data systems, transforming data against required business rules and data models, or data storage and analysis requirements, and loading data in various storage platforms. 

• Experience of communicating effectively with operational business and analytical teams to define data requirements, analyse data, and develop data models and metrics that meet requirements. 

• Strong skills in analysing, defining, sourcing and capturing data across strategic business systems, processes and areas of an organization 

• Strong experience of working with data and databases, ideally involving the development of new and existing data sources in a Data Warehouse environment. 

• An understanding of Data Warehouse techniques, including dimensional data modelling and relational database design and concepts. 

• SQL experience and technical database expertise using relational databases such as Oracle Database & PL/SQL or Microsoft T-SQL. 

• Experience of standard development practices including code versioning and reviews, and ensuring coding standards are applied and met. 

• Experience of defining and documenting data workflows across systems and operations, including capturing and documenting complex data definitions and business rules.