Data Engineer

We produce globally recognized brands and grow business leaders in the industry. Our portfolio includes trusted brands such as Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax®, and more. We operate in approximately 70 countries worldwide.

• Bachelor's degree in Computer Science or related field.
• Experience in data engineering, data science, or related field.
• Proficiency with data architecture and data processing tools.
• Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer.
• Experience with Power BI, DAX, and Tabular models (TMDL - nice to know).
• Proven track record of designing and implementing ETL/ELT processes in a cloud environment, specifically Azure using Databricks.
• Experience developing big Power BI Tabular models.
• Knowledge of DAX.
• Familiarity with version control systems, particularly Git, and the GitFlow branching model for collaborative development.
• Hands-on experience in implementing Continuous Integration and Continuous Deployment processes for data pipelines and applications.
• Proficiency in Python and PySpark for data processing, transformation, and analysis.
• Demonstrated experience in using Databricks for data engineering tasks, including working with Delta Lake and Spark SQL.

• Assemble large complex data sets which meet functional and non-functional business requirements.
• Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints.
• Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable.
• Identify, design, and implement internal process improvements.

Employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions. We are an equal opportunity employer and do not discriminate based on legally protected factors.