Data Engineer

Job description

Job Description

Data and Analytics is foundation and core to our Analytics growth strategy

We have data assets in all of our segments (Corporate, Petcare, MWC, Food, Multi Segment) across functions and divisions in R&D, that we will connect and enhance to build a rich understanding to answer specific questions which we as a business have.

To deliver on this ambition, we need deep expertise and experience in building our data solutions and engineering different sources of data to deliver valuable, scalability and sustainable benefits across a large and complex global business

Job Specifications

  • Must have - Degree level in data engineering related subject
  • Nice to have – Post-graduate qualifications in computer science, data engineering or related
  • Nice to have – professional qualifications in advanced data design, big data
  • Technical expertise and experience in database and data engineering capabilities.
  • Rich heritage in designing and building databases, data warehouses, analytics, and BI platforms, including experience with Big Data.
  • Including use of cloud platforms including Azure, technologies across traditional and contemporary software, programming languages:
  • Expert: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI. Working Knowledge: Azure WebApp, Azure Networking concepts. Concept: Azure AI Services, ML concepts, Unity Catalog, Purview. Programming: SQL, Java, C#, C++, Python, R and visualization tools (PowerBI and React)
  • Track record in building and developing successful data teams including mentoring junior staff.
  • Experience in building a combined and effective onshore-offshore team with 3rd party partners.
  • Experience in delivering across multi-location teams for global and local deliverables.
  • Able to partner and manage interaction with internal Core services support in EA security reviews and centralized platform services requests.
  • Able to partner and engage with the Data Science community.
  • Able to partner effectively with the business stakeholders, contribute in overall success and drive value for relevant stakeholders

Key Responsibilities

  • Forms part of the Analytics Open Hub Global Data and Analytics team to deliver the strategy, execute plans, providing specific and deep expertise in data design and modelling, data warehousing, big data platforms and data engineering
  • Develop a clear understanding of the data sources available, with a hands-on orientation, and the expected uses or opportunities from the data to design and deliver the right data solutions to drive insight and scalable, sustainable value creation. Hands-on delivery through direct and extended onshore and offshore data teams
  • Works closely with data source owners and Data Science teams to shape and deliver right plans
  • Pro-actively recommend data and technologies we should be using
  • Ensure continually improving performance of solutions and ongoing nimble & lean approach
  • Lead and manage the design of our cloud-based data solutions and models to enable insight and analytics
  • Lead and manage engineering projects in collaboration with other team members (including with offshore talent partners) to ensure rapid development of quality, scalable and sustainable data solutions, with global best practices and consistency
  • Drive agile processes and team sprints across global, market and offshore data engineering teams
  • Ensure right technologies are in place for our needs – deliver engagements with up-to-date capabilities available in the industry
  • Engage and collaborate with data and IT owners across Mars to drive data quality and availability, and ensure data improvement plans in place and support effective governance
  • Harvest and maintain semantic and smart data layer and ensure holistic leadership of the data solution within the environment
  • Engage with senior leaders on data related strategies and adoption

What can you expect from Mars?

  • Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

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