Client is a leading global provider of marketing technology & analytical consultancy

Data Engineer

Your responsibilities

• Implementing and managing tools to automate software development processes
• Taking care of continuous integration and delivery (CI/CD) of applications
• Optimizing and monitoring cloud infrastructure
• Creating and managing containers (Docker, Kubernetes)
• Ensuring security and scalability of systems
• Collaborate with development and operations teams to streamline processes
• Troubleshoot infrastructure issues and automate corrective actions
• Maintain high availability and reliability of systems
• Improve and continuously improve software development processes

Our requirements

• 3–5 years in Data Engineering, Data Warehousing, or programming within a dynamic (software) project environment
• Bachelor-level expertise demonstrated through formal education or equivalent professional experience
• Hands-on experience with a database platform such as Apache Hive, Hadoop, Microsoft SQL Server, PostgreSQL, ClickHouse, or similar
• Proficiency in Python for developing data pipelines and managing ETL/ELT workflows
• Familiarity with data orchestration tools like Airflow or Dagster
• Experience with Spark, PySpark, PySQL, or R
• Understanding of marketing data sources (e.g., consumer panel, retail scanning, survey data, Google Ads, Google Analytics, Facebook Insights, etc.)
• Experience with ETL tools, such as SSIS or similar
• Background in data science
• DevOps expertise, particularly with Microsoft Azure