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Data Engineer

1 month ago

Manila, National Capital Region, Philippines Mace Full time

Job Summary: We are seeking a skilled Data Engineer to join our Digital team, working on a variety of projects and programmes across diverse industries and sectors.

Mace is a leading global consultancy that redefines the boundaries of ambition. Our purpose is to create responsible places that bring transformative impact to our people, communities, and societies across the globe. We believe in harnessing 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.

You will be working with the Microsoft Fabric suite, comprising Data Factory, Synapse Data Warehousing, Power BI (dataflows) and Data Activator. As part of the wider role, you will be interfacing with SharePoint, Teams, Power BI and the M365 Office suite.

This role represents an exciting opportunity to work on a variety of diverse projects and programmes across a range of industries and sectors. You will work as part of the Digital team on a project, collaborating with BI developers and other specialists.

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 sets.

Your responsibilities will include:

  • Maintaining architecture diagrams and user documentation for any assets that you create.
  • Ensuring the overall quality of your work and delivering it to time and in line with user requirements.
  • Establishing and maintaining a professional network, both within Mace and the wider data engineering community, to keep abreast of new technologies and create opportunities for new and/or repeat work.
  • Interfacing with the Mace project team and occasionally stakeholders from other organizations, if working on a joint venture project or directly for a client.
  • Contributing to the development of digital tools, processes and outputs, including interactive BI reports, that support the wider project team and enable better delivery of projects for our clients.
  • Adhering to a structured development lifecycle that includes requirements definition, design, development and testing, user acceptance testing, deployment, handover and post-implementation support.
  • Clearly articulating the pros and cons of structuring data in different ways, and helping colleagues and project teams understand the value of well-structured data.
  • Working with Microsoft Fabric and its component parts, such as notebooks and pipelines, to develop efficient integration processes and robust data repositories that will underpin daily and periodic reporting activity.
  • Being responsible for the end-to-end development lifecycle of Digital assets on your project, including testing, deployment and handover.
  • Providing support to users and colleagues in relation to production assets.
  • Keeping your knowledge of Fabric and other relevant applications up to date by undertaking training and development, independently or as directed.

You will need to have:

  • 2+ years of relevant tech stack experience.
  • A Microsoft Associate level certification (or equivalent certification issued by another provider) in your area of specialism, e.g. DP-600 for Microsoft Fabric.
  • Knowledge of good data structure and development processes.
  • Understanding of relational modelling and database design, including lakehouse Medallion architecture.
  • Pre-existing knowledge of data factory and/or dataflow Gen2 as a minimum, experience with Python or PySpark would be an advantage.
  • Experience of working in a software development lifecycle environment.
  • Understanding of ALM and deployment pipelines.

You will also have:

  • 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).
  • A commitment to working inclusively.
  • An aptitude for problem-solving.
  • Good interpersonal skills.
  • Ability to work well with others and maintain open channels of communication.