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Data Engineer - Flexible Working

Job LocationBirmingham
EducationNot Mentioned
Salary50,000 - 61,500 per annum, inc benefits
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent,full-timeB

Job Description

Michael Page have partnered exclusively with the Government Property Agency (GPA) to support a step change in the way that Central Government non-specialist estate is managed and to deliver best-in-class property and workplace solutions. As the Senior DataEngineer you will be part of a team that is a key advisor to the GPA and its business units on all matters of data standards, data platforms, data integration and visualisation.Client DetailsGovernment Property AgencyDescriptionJob purpose:The GPA is a relatively new organisation within Government operating hundreds of UK Government properties and this is planned to grow to almost 1,000 properties by 2023. To support this growth, the GPA has established a new digital, data and technology capabilityto enable it to become a leader in property management digital services and manage this substantial property portfolio. The GPA is about providing great workplaces for our people. Through programmes like Hubs, Whitehall Campus and Smart Working you will bein the vanguard of creating model working environments and promoting flexible working practices.

  • The Data Engineer role is a critical role to support the GPA in delivering its short, medium and long-term data improvement plans. You will be required to enrich the GPAs data capabilities with technology innovation, modelling and data tools where thesecan add value to staff and clients.
  • You will work closely with colleagues within the GPA Technology and Data team and data specialists to develop and improve the GPA technology platforms.
  • You will be comfortable working at strategic and operational levels including hands-on management and development of services. You will be passionate about continuous improvement in data and data services wanting to help the GPA reach high levels of maturity
Key responsibilities:
  • Directly and through partners:
  • Implement data flows to connect operational systems, data for analytics and business intelligence systems, leading on developments as required.
  • Develop ETL layers and optimise them.
  • Develop re-usable, business driven, high quality, business intelligence dashboards and reports.
  • Develop widely accessible data for analysis by staff, customers and partners.
  • Identify and lead on re-engineering manual data flows to enable scaling and repeatability.
  • Lead on maximising opportunities to re-use existing data flows.
  • Lead work to manage data systems.
  • Provide expert advice on matters of data platforms, data integration and visualisation tools.
  • Develop the core data platform capabilities and then enrich these capabilities with technology innovation, modelling and artificial intelligence tools as required.
  • Leverage relationships with other government departments, stakeholders and industry partners at all levels to improve property related data and the GPAs standing as property data experts across government.
  • Work closely with colleagues within the GPA Technology and Data team and data specialists across the GPA to develop and improve the GPA technology platforms.
  • Work at strategic and operational levels including hands on development of services where required whilst developing internal skills and partner networks to also provide delivery capability.
  • Support the GPA in applying appropriate data methodologies and techniques to create information and insight from multiple internal and external data sources.
Key Skills / Knowledge:
  • A good understanding of property data throughout its lifecycle (desirable but not essential
  • Experience of real-time data capture/ processing and security in an IoT environment.
  • Experience of understanding the evolving data technology landscape and associated roadmaps including continuous improvement in data and data services.
  • Public sector data governance and standards
  • Using a wide range of data toolsets, AWS, AWS QuickSight, MySQL, PowerBI and Python in particular.
  • Experience of waterfall and agile development and experience of improving business processes with data.
  • Database design and the production of associated documentation such as entity relationship diagrams
  • Data profiling and source system analysis and can present clear insights to colleagues to support the end use of the data
  • Design, build and test data products that are complex or large-scale. You know how to build teams to complete data integration service
  • Understand the concepts and principles of data modelling and can produce relevant data models across multiple subject areas. You know how to reverse-engineer data models from a live system
  • Design appropriate metadata repository and present changes to existing metadata repositories
Profile
  • A good understanding of property data throughout its lifecycle (desirable but not essential
  • Experience of real-time data capture/ processing and security in an IoT environment.
  • Experience of understanding the evolving data technology landscape and associated roadmaps including continuous improvement in data and data services.
  • Public sector data governance and standards
  • Using a wide range of data toolsets, AWS, AWS QuickSight, MySQL, PowerBI and Python in particular.
  • Experience of waterfall and agile development and experience of improving business processes with data.
  • Database design and the production of associated documentation such as entity relationship diagrams
Job OfferOpportunity to work on a major Data TransformationOpportunity to work on IoT / SMART Property Solutions

Keyskills :
SQLIOTmysqlpropertypythonAWSSMARTPowerbi

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