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    Staff Data Steward
    Bayer Sp. z o.o.

    Staff Data Steward

    Bayer Sp. z o.o.
    4 539 - 7 061 USDGross/month - Permanent
    Type of work
    Employment Type
    Operating mode
    Bayer Sp. z o.o.

    Bayer Sp. z o.o.

    Digital Hub Warsaw - here the best and most creative minds work in a diverse and inclusive environment on groundbreaking solutions that support Bayer's vision of "health for all - hunger for none." We create digital solutions that change the future.

    Company profile

    Tech stack





      Apache Kafka






      ETL tools






      Google Cloud Platform

      nice to have

    Job description

    Online interview

    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.



    We are looking for a Staff Data Steward in Crop Science IT division!

    Why Bayer and Bayer Crop Science IT?

    “Health for all and Hunger for none” is our mission at Bayer. Every day, we are privileged to work on purposeful cutting-edge projects to bring our mission to life. Join us at the new Bayer Digital Hub in Warsaw to have a career that you can put your passion into practice and make an impact using Science for a better life. In Bayer Crop Science IT we deliver fantastic digital experiences for our farmer customers, our supply chain partners, and our scientist who run our world class R&D pipeline of seeds, traits, crop protection products, & digital agriculture. We would love to talk to you about what we do!


    Deliver high quality data required for successful implementation of program objectives and organizational strategies. Identify data quality needs and implement solutions, through data analysis focusing on preventing quality issues, minimizing manual intervention and aiding automation efforts. Data analysis will ensure data is structured properly, follows governance guidelines and enforces security policies. Ensure availability, accuracy, reliability and quality of data through applied domain knowledge of workflows, data platforms, and stakeholder engagement.





    • Provide leadership to design sessions with Stewards, Data Engineers, Engineering teams, Data Scientists, Product Managers, business and/or IT stakeholders, that result in design documentation and business metadata capture in Collibra and other systems as needed.
    • Partnering with Capability owners, GPOs, Regional Leads, Product Managers, Product Owners, and other Business & IT stakeholders to gain and document comprehensive insights into business capability needs and processes. Expertise in EME o2c/plan/manufacturing domains.
    • Implement and utilize data solutions for profiling, data analysis, modeling, validation, cataloguing, quality assurance using a variety of tools such as Postman, R, Collibra, Python, etc., and follow industry best practice.
    • Design and evangelize frameworks and objectives for: Governance, Adhering to External and Internal Compliance Needs, Metadata Management, Data Quality, and Data Management Best Practices.
    • Lead in targeted Data efforts, to make data FAIR (Findable, Accessible, Interoperable and Reusable) to strengthen Bayer Crop Science's effectiveness in carrying out its mission.
    • Lead multi-functional and multi-business stewardship network in which to evangelize these frameworks and objectives - Governance, Data Quality, Data Wrangling, and Best Practices.
    • Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts.
    • Develop roadmap over respective efforts in the domain and account for dependencies across other domains.
    • Lead various cross team meetings and events focused on design and planning, sharing the results of team efforts, or brainstorming on process improvements.
    • Understanding, assisting and troubleshooting access management, ensuring retention, auditing standards, best practices and data governance policies and procedures are applied consistently and accurately. 
    • Providing support for business, platform and other asset teams pertaining to domain knowledge, asset data, governance, and end-to-end solutioning.
    • Define data quality rules and implement automated monitoring, reporting, and remediation solutions.
    • Set strategy for implementation of automated data quality monitoring based on engagement with stakeholders and technical partners.
    • Lead root cause analysis to identify trends and assess impact of data quality issues.
    • Define strategy and identify dependencies to support data migration from legacy systems, data inserts and updates not supported by applications.





    • 9 years relevant experience/7yrs Master/3yrs PHD,
    • Bachelor’s or Advanced Degree in Computer Science, Biological Science, Business Administration, Finance, Data Science, Database Administration or equivalent,
    • Manipulating data using scripting languages and/or data processing software (e.g., Python, R, ETL applications),
    • Expert level - business domain (order to cash, production planning, manufacturing, logistics, warehouse management),
    • Querying SQL and/or NoSQL databases,
    • Basic understanding of SAP and some of the SAP tables and modules, at least one of:
    • Financial Accounting (FI)
    • Financial Supply Chain Management (FSCM)
    • Controlling (CO)
    • Materials Management (MM)
    • Sales and Distribution (SD)
    • Logistics Execution (LE)
    • Production Planning (PP)
    • Quality Management (QM)
    • Plant Maintenance (PM)
    • Project System (PS),
    • Exposure and knowledge in related source systems architecture and design,
    • Experience Building & supporting APIs, Warehousing, KAFKA, and other ETL tools,
    • Experience with data process, internal applications, & scripting tools. AWS, REST, GraphQL, gRPC, KAFKA, Python,
    • Profiling, summarizing & reporting data quality metrics,
    • Deliver detailed technical documentation,
    • Align programs/deliverables across organizations,
    • Applied experience with agile development continuous deployment, DevOps, & decision science (e.g., AI, ML, etc.),
    • Knowledge of modern data principles,
    • Creation of strategic technical solutions and documentation to challenging business problems,
    • Mentoring and guiding activities of junior team members and influencing across teams.



    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
    • Company Bonus & Reward Structure 
    • VIP Medical Care Package (including Dental & Mental health)
    • Life & Travel Insurance
    • Pension plan
    • Co-financed sport card - FitProfit
    • Meals Subsidy in Office 
    • 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



    4 539 - 7 061 USD