Are you ready to unlock the full potential of our data to transit impossible into possible?

YOUR ROLE IN THE STORY

You contribute to the development of our Data and Analytics Team (DAT) within which you make relevant data available and integrate. You will develop the building blocks for our data platform and you will develop the data pipelines with which you make data available for viewers, analyses and for data science products. In addition, you are jointly responsible for ensuring the high quality outcomes of the data team.

In this role, you will:

• Ensure that our data and reporting is easily accessible, shareable, and effectively used to drive business growth.
• Combine your technical expertise with leadership to build a strong and scalable data infrastructure.
• Lead by example, balancing essential foundational work with agile delivery of impactful data products, while actively developing your team members.
• Bridge the gap between business goals and data strategies, ensuring alignment and maximizing the value of data across the organization.

YOUR KEY RESPONSIBILITIES INCLUDE:

• Translate user requirements into data solutions in Azure and Databricks.
• Convert data on the data platform into usable data marts by applying ETL tools, following architectural guidelines and organization-wide coding standards.
• Conduct testing, documentation, release, and management of internal data products.
• Transform complex data into clear, compelling visualizations, dashboards, and reports that empower stakeholders to make informed, data-driven decisions.
• Ensure data marts remain current, accurate, timely, complete, and fully operational as per agreed criteria.
• Coordinate with business analysts from other teams on mutual data needs and exchange.
• Manage and optimise User Stories and Pipelines within Azure DevOps
• Monitor, secure, monitor and optimize data storage.
• Proactively advise on best practices in the field within Azure to level up the business intelligence maturity levels
• Manage authorizations and monitoring (e.g. Azure Purview etc.) data usage within the internal domain, in collaboration with the data steward and in accordance with Security and Compliance guidelines.
• Informing customers about changes in their own data marts.