Data Engineer – Cloud & Analytics Solutions

About the role

We are seeking a Data Engineer to join our leading Data & Analytics team. You will transform business needs into robust data pipelines and analytics platforms, working with Microsoft Azure and Google Cloud to deliver actionable insights.

Key responsibilities

• Design, build, and maintain data and analytics solutions on Azure or Google Cloud.
• Develop and extend existing cloud‑based data pipelines using approved architectures.
• Automate and optimise internal processes within Azure/GCP environments.
• Collaborate with multifunctional, multinational teams to support key business cases.
• Participate in agile product development and contribute to continuous improvement of cloud technologies.

Required profile

• Proven experience with Python and PySpark, as well as SQL/SparkSQL.
• Hands‑on experience in Big Data/ETL, preferably with Spark and Databricks.
• Track record of implementing solutions on cloud platforms (Azure, GCP preferred; AWS a plus).
• Familiarity with CI/CD tools, Agile Scrum, and DevOps practices.
• Strong English proficiency and a bachelor’s degree.

Required skills

• Python
• PySpark
• SQL / SparkSQL
• Apache Spark
• Databricks
• Microsoft Azure
• Google Cloud Platform
• AWS (optional)
• CI/CD pipelines
• Azure Analysis Services (AAS), DAX, Power BI
• Data modeling
• Agile Scrum
• DevOps methodologies