Data Engineer

1 month ago

Derby, Derby, United Kingdom Mace Full time

At Mace, we're redefining the boundaries of ambition. Our purpose is to create responsible places that bring transformative impact to our people, communities, and societies worldwide. To learn more about our purpose, culture, and priorities, visit our website.

Within our consult business, we harness our unique combination of leading-edge practical expertise and project delivery consultancy to unlock the potential in every project.

The Project:

The role is for a data engineer specializing in the Microsoft technology stack. It's a client-facing position supporting fee-earning projects and programs. The primary responsibility is to contribute to the development of digital tools, processes, and outputs, including the data infrastructure underpinning all BI activity, that support the wider project team and enable effective delivery of projects for our clients.

Mace is a forward-thinking construction consultancy that offers the opportunity to contribute to some of the nation's largest and most exciting construction projects across various industries and sectors, including transport, healthcare, education, government, and nuclear.

Our growing digital centre of excellence team is responsible for enabling and enhancing project delivery through the development of digital tools, processes, and reports that enable data-driven decision making. As part of your role, you will interface with the Mace project team and occasionally stakeholders from other organizations, if working on a joint venture project or directly for a client. You will be part of the digital centre of excellence community, sharing knowledge and experience with other BI & data professionals. This is an excellent opportunity to learn from experienced practitioners and further develop your technical skill set.

You'll be responsible for:

  • Identifying the best method for extracting data from source systems on a case-by-case basis. Understand, and be able to draw on, effective use of tools such as Notebooks, Dataflow Gen2, and PowerShell.
  • Managing credentials, including service accounts and interfaces with Azure Key Vault, to ensure connections are made in the most secure way.
  • Building integrations with appropriate error handling and business logic to ensure there is no corruption, omission, or duplication of ingested data.

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