Data Engineer (f/m/x)

HEY THERE! We are Mercedes-Benz.io. Our mission is to ignite and build digital solutions for Mercedes-Benz by bringing together a tribe of digital enthusiasts who drive the digital future of mobility. We believe flexibility and collaboration go hand in hand. With offices in Lisbon and Braga, we offer a flexible hybrid setup, with an average of one day per week in the office. This allows for meaningful in-person collaboration while maintaining the flexibility to work in a way that best supports you and your team. We do not care about your shoes, as long as you bring the right attitude. At Mercedes-Benz.io we walk the talk and make things happen. We do not digitise for the sake of being digital, but to create real value. We reflect, challenge the status quo, and stand up for each other. This is why we hire people who want to make an impact. WHAT IS PLATFORM & DATA Focuses on building and evolving the technological and data‑driven foundation to enable scalable, efficient, and high‑quality digital products across the organisation. You would be part of the DOH - The Data Operations Hub drives the transformation towards a unified and efficient data ecosystem for Mercedes-Benz Digital Marketing and Sales. As a Data Engineer within DOH, you will play a key role in building and maintaining the data foundations that power analytics, reporting, and data-driven decision-making across Mercedes-Benz. IN THIS ROLE YOU WILL - Design and build scalable data pipelines for cleaning, integrating, and transforming large datasets. - Create data processing infrastructure that ensures high-quality data availability for digital analysts and data scientists. - Leverage Azure cloud services including Data Factory, Databricks, and Data Lake Storage to develop robust and scalable data solutions. - Develop dimensional data models and maintain data warehousing solutions that support analytics and reporting needs. - Write efficient and well-tested Python and SQL code for large-scale data processing. - Work extensively with Apache Spark developing and optimizing PySpark code and SQL queries while applying a deep understanding of Spark internals. - Collaborate closely with data analysts and stakeholders to understand business requirements and support data-driven decision-making. - Ensure data governance standards are met by monitoring data quality and implementing best practices for data management. - Support the deployment, monitoring, and maintenance of machine learning pipelines and data solutions in production environments. - Continuously improve platform performance, scalability, and reliability through automation and engineering best practices. -