Senior Data Engineer Product Core Data Asset

Implement data pipelines that integrate data from different sources (e.g. supply chain planning data, product hierarchy, quality data, inventory data, procurement data, distributor and transportation data) to develop globally harmonized data models and KPI calculations
Contribute to define data management and data quality standards. 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.
Ensure that product supply data products adhere to the data protections standards.
Continuously enhance implementation frameworks based on the needs of the analytics products in your responsibility.
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.
Together with the assigned data architect, ensure that cost and time estimations are accurate, quality of delivery is assured, and deliverables are properly tested, documented and handed over to the operations team

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 and Databricks 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. Excellent interpersonal and communication skills, active listening, consulting, challenging, presentation skills.
Fluent in English, both written & spoken, intercultural awareness and willingness to travel

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

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