Informacje o stanowisku

For Digital Hub Warsaw, we are looking for:

Senior Data Architect

The Data Assets, Analytics & AI department at Bayer Consumer Health focuses on enabling
digital transformation by creating best in class analytical solutions, enabling data-driven decision 
making and performance optimization for Bayer’s Consumer Health organization.
You will be part of the global data assets, analytics and AI platform and responsible for technically 
guiding projects in Data & Analytics. You partner with business stakeholders, data scientists, 
analytics leads, data & platform architects and engineers as well as implementation 
partners/vendors and are the technical lead for scalable Core Data Assets / Data Products. You 
ensure proper data management, data ingestion, data pipeline orchestration as well as serving of 
data for analysts. 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.

• Bachelor/Master degree in Computer Science, Engineering, or similar
• 5+ years working experience in the field of Data & Analytics, preferably in the CPG 
  industry
  
• Excellent data architecture & technology knowledge and data engineering skills in 
  spark-based data processing solutions (tech stack: Azure Data Factory, Azure 
  Databricks, SQL, Python, Snowflake is nice to have)
  
• Proficient in data modeling techniques with a strong capability to mentor and support 
  data engineers in best practices and implementation strategies
  
• Profound knowledge in reporting solutions such as Tableau or PowerBI, and data 
  management knowhow (data cataloguing, data quality management, data compliance 
  management)
  
• Profound in GitHub ecosystem including the VCS, GitHub Actions for CI/CD and 
  working with tickets/issues and pull requests. Understanding of Azure Dev/ops is a 
  plus. Experience in delivering data as a product and in leading data engineering teams.
  
• Experience in applying Agile methodologies (Scrum, Kanban).
  
• Strong problem solving and analytical skills, combined with impeccable business 
  judgement. Interpersonal and communication skills, active listening, consulting and
  presentation skills
  
• Fluent in English, both written & spoken, intercultural awareness and willingness to 
  travel from time to tim

For Digital Hub Warsaw, we are looking for:

Senior Data Architect

The Data Assets, Analytics & AI department at Bayer Consumer Health focuses on enabling
digital transformation by creating best in class analytical solutions, enabling data-driven decision 
making and performance optimization for Bayer’s Consumer Health organization.
You will be part of the global data assets, analytics and AI platform and responsible for technically 
guiding projects in Data & Analytics. You partner with business stakeholders, data scientists, 
analytics leads, data & platform architects and engineers as well as implementation 
partners/vendors and are the technical lead for scalable Core Data Assets / Data Products. You 
ensure proper data management, data ingestion, data pipeline orchestration as well as serving of 
data for analysts. 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.

,[ Own & lead technical implementation and management of well-integrated, enriched, and re-usable data models and analytics products., Collect and manage data requirements of data consumers, translate them into , technical concepts considering re-usability & cost efficiency, and partner with data providers, Ensure that best-practice data management and quality assurance processes are defined and applied and continuously enhance implementation frameworks based on the needs., Collaborate with business functions (global & regional business stakeholders) and other IT teams (core data asset architects, analytics teams, data science teams, platform product managers & integration architects) to ensure delivery in line with value, business priorities and IT objectives, Steer delivery teams, mainly data and bi engineers, provide cost and time estimations, challenge effort estimations and assure high quality delivery & proper testing of delivery teams as well as vendor implementations & proper handover to support, Illiterate consumers on how to leverage data to answer business questions, Contribute to best-practice exchange in our data architecture chapter Requirements: Azure Databricks, GitHub Actions, SQL, Python, Power BI, Azure DevOps, Data engineering Tools: . Additionally: Sport subscription, Training budget, Private healthcare, Free coffee, Canteen, Bike parking, Playroom, Free snacks, Free beverages, Free parking, In-house trainings.

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