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Senior Data Engineer Tax 

At Bayer we are looking for an experienced Senior Data Engineer to join the Enterprise Data & Analytics platform and support finance-related data products and integration activities across areas such as Financial Accounting, Controlling, Treasury, Banking and Tax.

The role acts as a key technical counterpart for Tax Data & Analytics initiatives and related finance data products.

This position combines data engineering and integration expertise with technical leadership, solution assessment and close collaboration with business and technology stakeholders. You will work in an established, global environment involving Tax, Finance, Enterprise Data & Analytics and external delivery partners, requiring strong internal ownership, stakeholder management, coordination of contributors and the ability to guide complex delivery initiatives.

The role goes beyond hands-on data engineering and requires the ability to lead technical delivery across complex initiatives in Tax. The successful candidate combines strong data engineering and integration expertise with stakeholder management, architectural assessment, vendor coordination and delivery leadership. Acting as a trusted technical partner across Tax, Finance and Enterprise Data & Analytics, this role helps shape and deliver business-critical data products and integration capabilities.

YOUR TASKS AND RESPONSIBILITIES

• Lead the design and implementation of data flows connecting operational systems, analytics platforms and business intelligence solutions
• Support finance-related data products and integration activities across areas such as Controlling, Treasury, Banking and Tax
• Translate business requirements into technical concepts and implementable work packages
• Provide technical leadership for internal and external engineering teams and be accountable for delivery quality, technical consistency and adherence to architectural standards.
• Own the technical assessment of architectural proposals and challenge implementations where quality, scalability or delivery risks are identified.
• Review solution quality and identify technical and delivery risks
• Support architectural decisions and ensure alignment with agreed blueprints
• Guide implementation and release decisions
• Drive the delivery of complex data integration services and large-scale data products across multiple stakeholder groups.
• Undertake data profiling and source system analysis
• Present insights and findings to business and technical stakeholders
• Help select appropriate technologies and integration approaches for resilient and scalable data solutions
• Communicate effectively with technical and non-technical stakeholders in a multidisciplinary environment
• Respond to issues involving data products, services and processes and support their resolution
• Produce data models across multiple subject areas
• Compare and align different data models and apply industry-recognized modelling patterns and standards
• Design and support metadata management solutions and repositories
• Identify opportunities to reuse existing data flows and integration capabilities
• Lead the development of data streaming solutions
• Review requirements and specifications and define relevant test conditions

WHO YOU ARE

• Degree in Computer Science, Information Technology, Engineering or a related field
• Experience in Data Engineering, Data Integration, Data Analytics or related disciplines
• Experience working on enterprise-scale data engineering and integration related initiatives
• Experience with business-critical enterprise data platforms and complex stakeholder environments
• Proven track record of leading complex cross-functional initiatives and influencing stakeholders across business and technology organizations.
• Previous hands-on technical experience combined with the ability to guide delivery and assess technical implementations
• Ability to understand architecture, code quality, solution design and engineering trade-offs
• Understanding of data integration patterns, data architecture and data modelling principles
• Ability to translate business requirements into implementable technical approaches
• Ability to identify technical and delivery risks and challenge technical decisions when needed
• Strong communication and stakeholder management skills
• Experience collaborating across multidisciplinary and international teams
• Experience with Microsoft Azure or other Hyperscaler, Databricks, SQL, Python and/or PySpark
• Fluent English, both written and spoken
  
  

NICE TO HAVE

• Experience working with Finance-related domains and understand additional dimensions like compliance, audit and risk activities
• Experience gained through consulting or a treck record across different size enterprise environments

Location:

Spain : Cataluña : Barcelona  

Division:

Enabling Functions 

Reference Code:

891945