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, visit our 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 cloud data 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.

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 and Data professionals.

This is an excellent opportunity to learn from experienced practitioners and further develop your technical skill set.

You’ll Be Responsible For

• An expert understanding of the SQL language is a requirement of the role.
• Experience with Microsoft Azure and Fabric ecosystem.
• Proficient in developing data pipelines and orchestration.
• Expert understanding of data integration methods and tools.
• Solid understanding of ELT/ETL, medallion architecture and lakehouse design principles.
• Hands-on with building data warehouses and data marts.
• Exposure to Azure DevOps for CI/CD and deployment.
• Expert in the following languages: SQL, Python, PowerShell, DAX, M.
• Knowledge of the modern data engineering lifecycle and best practices.
• Ability to work within an agile framework.
• You will be expected to work with Microsoft’s Fabric platform, principally within the data engineering and data warehousing workflows.
• You will work independently within your role as part of a development team, being responsible for all data engineering and data platform assets.
• You will interface with other digital professionals and ensure that the BI development team have timely access to all required data to support project activity.
• You will be expected to adhere to a structured development lifecycle that includes requirements definition, design, development and testing, user acceptance testing, deployment, handover and post-implementation support.
• You will be expected to attend all training and other sessions organized by the centre of excellence, as well as keeping your knowledge of the industry up to date through self-endeavor and structured training as directed.
  
  

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 cloud data stack.
• Any experience with Microsoft Fabric in the last 12 months would be considered highly desirable.
• You hold a DP-600 or DP700 (Fabric Data Engineer) certification from Microsoft.
• A good working knowledge of Microsoft’s productivity suite, including SharePoint, Teams and Office 365.
• 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

• Any experience of supporting BI and data analytics software would be a benefit but is not a requirement.
• 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.
  
  

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.