Data Engineer

Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!

Would you like to meet the Team, see our office and much more? Visit our website: Heineken (heineken-dt.pl)

Your responsibilities would include:

1. Data Extraction, Transformation, and Storage:

• structuring end-to-end processes of data extraction, transformation, and storage using serverless Azure services to deploy models and analytical solutions
• handling activities such as quality assurance, data migration and integration, and solution deployment to ensure the business gets the best value
• writing and maintaining ETL processes in Python, designing database systems, and developing tools for real-time and offline analytic processing.

2. Development and Maintenance:

• implementing, maintaining, and further developing the functionality of Python packages for ETL processes, data lineage, operator inputs, including building logic
• troubleshooting software and processes for data consistency and integrity
• integrating large-scale data from a variety of sources for business partners to generate insights and make informed decisions.

3. Data Flow and Testing:

• designing and implementing data flows to ensure efficient and reliable data movement
• creating unit and integration tests for Python modules
• participating in mission-critical processes of the data pipeline.

4. Technical Skills and Collaborative Environment:

• providing technical support in understanding business problems and designing smart data products
• collaborating within an agile culture, contributing to the team's success
• demonstrating excellent software engineering skills, including unit testing, integration testing, OOP, and the ability to write clean, efficient, documented, and scalable code.

You are a good candidate if you have:

• significant commercial experience in a similar position
• strong data analytics skills using Python
• excellent software engineering skills (including unit testing, integration testing, OOP)
• proficiency with Python and/or Scala (ideally both)
• experience working with large datasets through Spark and RDBMS
• solid knowledge of PySpark with the ability to apply it to write Spark applications as well as analyze data in a distributed environment
• very good SQL skills and ability to extract information from databases
• fluency in English for effective communication.

You are a perfect match if you also have:

• good working knowledge of Azure services
• experience in building and releasing Infrastructure as Code using tools like Terraform
• familiarity with versioning systems (e.g., Git), DevOps mode of working, and DevOps tools
• understanding of machine learning models, deployment, and monitoring
• strong interest in machine learning and a desire to develop skills in this field
• experience working in agile organizations
• being a team player with a proactive and collaborative approach.

We Offer: