Microsoft Fabric Data Engineer

At Mace, our purpose is to redefine the boundaries of ambition. We believe in creating places that are responsible, bringing transformative impact to our people, communities, and societies across the globe. To learn more about our purpose, culture, and priorities, visitour strategy site.

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.

Our values shape the way we consult and define the people we want to join us on our journey, they are:

• Safety first– Going home safe and well.

• Client focus-Deliver on our promise.

• Integrity– Always do the right thing.

• Create opportunity– for our people to excel.

The role is for a data engineer specializing in the Microsoft technology stack. It is a client-facing role supporting fee-earning projects and programmes.

The principal responsibility of the role 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.

You’ll be responsible for:

• You will be expected to work with Microsoft’s Fabric platform, principally within the Data Engineering and Data Warehousing workflows.

• Identify 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.

• Manage credentials, including service accounts and interfaces with Azure Key Vault, to ensure connections are made in the most secure way.

• Build integrations with appropriate error handling and business logic to ensure there is no corruption, omission or duplication of ingested data.

• Apply the fundamentals of data transformation (such as cleaning and optimizing structure of data into fact and dimension tables) using Data Factory and/or supporting tools.

• Ensure data brought into the data platform meets the needs of downstream users, including the BI Development team.

• Store and transform data using a medallion architecture, drawing on lakehouse and warehouse assets as appropriate.

• Oversee the operation and maintenance of daily and periodic pipelines, optimizing efficiency and proactively resolving issues when they occur.

You’ll need to have:

• A minimum of 2 years’ experience with data engineering tools is expected, of which at least one year should align with the Microsoft tech stack.

• A foundational understanding of SQL language is a requirement of the role.

• Knowledge of good data structure.

• Understanding of data security.

• Effective management of version control throughout the development process.

• Evidence of organized ways of working to manage deliverables to time and quality

• Understanding of working in a consultancy environment and management of stakeholders including clients, colleagues and data owners.

You’ll also have:

• A good working knowledge of Microsoft’s productivity suite, including SharePoint, Teams and Office 365, is essential.

• Any experience of supporting BI & data analytics software and languages such as Python, JSON, R, etc. would be a benefit but is not a requirement.

• Any experience with Microsoft Fabric in the last 12 months would be considered highly desirable.

• The ability to work collaboratively as part of a team.

• A willingness to share knowledge and support the development of others.

• The confidence to ask questions, make suggestions and challenge the status quo.

• Excellent written and oral communication skills (in English) and presentational skills.

• A commitment to working inclusively.

• An aptitude for problem-solving.

• Good interpersonal skills.

• Microsoft DP-700 desired but not essential.

Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all the criteria, please apply as you may still be the best candidate for this role or another role within our organization.

We are also open to discussing part time, flexible, and hybrid working options if suitable within the role.

Apply now for a confidential discussion.

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