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Senior Data Engineer Product Supply Analytics Miejsce pracy: Warszawa Technologies we use Operating system Windows About the project 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. 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 sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance remote work opportunities flexible working time dental care retirement pension plan no dress code video games at work coffee / tea parking space for employees pre-paid cards employee referral program extra leave Bayer is an Equal Opportunity Employer. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s). Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Digital Hub Warsaw at Bayer 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. Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez BAYER sp. z o.o. z siedzibą w: Aleje Jerozolimskie 158, 02-326 Warszawa (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu. Twoje dane osobowe będą przetwarzane w oparciu o następujące podstawy prawne: (a) aby podjąć działania na Twoje żądanie przed zawarciem umowy (np. informacje o oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę, która wyrażona jest poprzez przeslanie dokumentów aplikacyjnych zawierających takie informacje jak np. wizerunek czy zainteresowania.Podanie wszystkich danych osobowych, o których mowa powyżej jest dobrowolne, natomiast dane wymienione w lit. a) i b) są niezbędne do wzięcia udziału w rekrutacji. Niepodanie danych skutkuje brakiem możliwości rozpatrzenia kandydatury. Podanie pozostałych danych jest dobrowolne, ale może pomóc w sprawnym przeprowadzeniu procesu rekrutacji.Masz prawo żądać dostępu do Twoich danych (w tym uzyskania ich kopii), sprostowania danych, ich usunięcia, ograniczenia przetwarzania, przeniesienia, jak również wniesienia sprzeciwu wobec ich przetwarzania. Masz także prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych.Twoje dane osobowe mogą zostać przekazane dostawcom usługi publikacji ogłoszeń o pracę, dostawcom systemów do zarządzania rekrutacjami, dostawcom usług IT (hosting), dostawcom systemów informatycznych.Podane przez Ciebie dane osobowe nie będą wykorzystywane w celu profilowania albo podejmowania decyzji w sposób zautomatyzowany.Twoje dane osobowe będą przetwarzane przez okres maks. 1 roku od zakończenia publikacji ogłoszenia, chyba, że wyraziłeś odrębną zgodę na wykorzystanie Twoich danych osobowych w przyszłych rekrutacjach.W celu realizacji praw lub w przypadku jakichkolwiek pytań związanych z przetwarzaniem Twoich danych osobowych skontaktuj się z nami pod adresem: katarzyna.olejniczak.ext@bayer.com.