Senior Data Engineer Product Supply Analytics at Bayer Sp. z o.o.

Opis stanowiska:

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For Digital Hub Warsaw, we are looking for:

Senior Data Engineer Product Supply Analytics

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

The PS Data & Analytics team at Bayer Consumer Health focuses on driving digital transformation and innovation by creating best-in-class analytical solutions that enable data-driven decision making and performance optimization for Bayer Consumer Health’s Supply Chain organization.

You will be part of the data & analytics organization and will be responsible for building data products in the area of product supply and supply chain. You partner with business stakeholders, data architects, data scientists, analytics leads as well as other engineers. You will build data pipelines, data models and provision data for front end developers and data scientists. You will also make sure that proper development processes are followed within the team, enhance implementation frameworks and guide other team members in building scalable, secure and well performing data products. If you are interested in joining a young and dynamic team driving the digital transformation of Bayer Consumer Health, we would like to hear from you.

Key Tasks & 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

Qualifications & Competencies (education, skills, experience):

• 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 do We offer:

• A flexible, hybrid work model
• Great workplace in a new modern office in Warsaw
• Career development, 360° Feedback & Mentoring programme
• Wide access to professional development tools, trainings, & conferences
• Firma 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 Start Office Setup & Maintenance
• Access to Firma 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 reLokalizacja to Warsaw when needed
• Please send your CV in English

Szczegóły oferty:

• Firma: Bayer Sp. z o.o.
• Stanowisko: Senior Data Engineer Product Supply Analytics
• Miejsce pracy: Warszawa
• Kraj: PL

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