Requirements

Expected technologies

Snowflake

SQL

Python

Our requirements

• Bachelor/Master degree in Computer Science, Engineering, or similar
• 5+ years' working experience in the field of Data & Analytics, preferably in the area of Controlling (COPA, SD, COOM etc.), and life cycle management of analytics products (development, testing, launch, training support, shutdown) and the CPG industry.
• Excellent data architecture & technology knowledge and data engineering skills in spark-based data processing solutions (tech stack: Azure Data Lake Gen2, Databricks, Snowflake, SQL, Python)
• Profound knowledge reporting solutions such as Tableau or PowerBI, and data management know/how (data cataloguing, data quality management)
• Profound knowledge of CI/CD processes and tools (GitHub, Azure DevOps Pipelines)
• Good data content knowledge of SAP CO, FI, & SD Modules is a must
• Experience of SAP BW/SAP HANA is a plus
• Experience in delivering data as a product and experiences in leading data engineering teams.
• Experience in applying Agile methodologies (Scrum, Kanban).
• Problem solving and analytical skills, combined with impeccable business judgement. Interpersonal and communication skills, active listening, consulting, challenging, presentation skills
• Fluent in English, both written & spoken, intercultural awareness and willingness to travel from time to time

Your responsibilities

• Own & lead technical implementation and management of well-integrated, enriched, and re-usable data models and analytics products in the domain of Finance & Controlling
• Collect and Manage data requirements of data consumers, translate them into technical concepts considering re-usability & cost efficiency, and partner with data providers in Bayer to collect financial & controlling data from source systems
• Ensure that best-practice data management and quality assurance processes are defined and applied, continuously enhance implementation frameworks based on the needs.
• Collaborate with business functions (global & regional business stakeholders) and other IT functions (enabling functions data asset teams, analytics teams, data science teams, platform product managers & integration architects) to ensure delivery on the above mentioned activities.
• Lead the integration of different data sources (Profitability Accounting, Overhead Management, Sales & Distribution) in order to develop globally harmonized and re-usable data models & KPIs meeting the business requirements
• Steer the delivery team, provide cost and time estimations, challange vendor costs and assure hight quality delivery of vendor implementations & proper handover to support
• Illiterate consumers on how to leverage Finance & Controlling data properly to answer respective business questions
• Contribute to best-practice exchange in our Data Architect community