Senior Data Engineer Product Supply Analytics

Technologies we use

About the project

Your responsibilities

• Implement data pipelines that integrate data from different sources (e.g. supply chain planning data, financial data, quality data, distributor and transportation data, market data (sell-in, sell-out)) to develop globally harmonized data models & KPIs.
• Continuously enhance implementation frameworks based on the needs of the analytics products in your responsibility.
• Ensure that product supply data products adhere to the analytics data architecture guidance and deliver fit-for purpose & scalable analytical solutions.
• Guide other data engineers in your team (internal or external engineers) and ensure that all engineers apply same design principles and assure code quality. Break down bigger work packages into manageable tasks.
• Ensure that data is well-managed to build stable, reusable and quality assured data assets.
• Collaborate with other IT functions (enabling functions data asset teams, analytics teams, platform product managers & integration architects) to ensure the aforementioned activities are executed effectively.
• Together with the assigned data architect, ensure that cost and time estimations are accurate, quality of delivery is assured, and deliverables are properly handed over to the operations team

Our requirements

• Bachelor/Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of working experience in the field of Data & Analytics, preferably in the area of product supply and the CPG industry
• 3+ years of proficient coding experience with Python for data engineering, including SQL and PySpark (DataFrame API, Spark SQL, MLlib), with hands-on experience in various databases (SQL/NoSQL), key libraries (e.g., pandas, SQLAlchemy), parallel processing, and advanced data transformation and performance optimization techniques.
• Excellent data engineering & technology knowledge (Azure Data Lake Gen2, Azure Synapse, Databricks and Snowflake as well as data management knowhow (data cataloguing, data quality management)
• Solid understanding of data modeling, ETL processing and lakehouse concepts.
• Knowledge of CI/CD processes and tools (GitHub, Azure DevOps Pipelines)
• Profound data content knowledge (Supply Chain, Logistics, Quality Management) and Product Supply process knowhow
• Experience in Agile methodologies (Scrum, Kanban)
• Strong problem solving and analytical skills, combined with impeccable business judgment. Excellent interpersonal and communication skills, active listening, consulting, challenging, presentation skills.
• Fluent in English, both written & spoken, intercultural awareness and willingness to travel

What we offer

• Bonus (18%) + copyright-related tax-deductible costs (70%)
• A flexible, hybrid work model (1 day in office)
• Great workplace in a new modern office in Warsaw
• Career development, 360° Feedback & Mentoring programme
• Wide access to professional development tools, trainings, & conferences
• Company Bonus & Reward Structure
• VIP Medical Care Package (including Dental & Mental health)
• Holiday allowance (“Wczasy pod gruszą”)
• Life & Travel Insurance
• Pension plan
• Co-financed sport card - FitProfit
• Meals Subsidy in Office
• Additional days off
• Budget for Home Office Setup & Maintenance
• Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
• Tailored-made support in relocation to Warsaw when needed
• Please send your CV in English

Benefits