Senior Data Engineer - Tax

Bayer; Warszawa; Hybrid; PLN 206,000 - 246,000; Full time

Benefits offered by this job

Medical care above statutory

Flexible benefits for leisure and well

Life, accident, and disability ins.

Employer-supported pension plans

Home office allowance for hybrid/tele-

Extra Paid Holidays

Job summary

Bayer in Poland (Warsaw) is seeking a Senior Data Engineer to join the Enterprise Data & Analytics platform, supporting tax data products and integration across Finance, Tax and Controlling.

The role combines data engineering and integration expertise with technical leadership, guiding complex delivery initiatives and collaborating with global business and technology stakeholders to implement scalable data solutions.

Qualifications

• 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 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.
• 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.

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 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.

Skills

Azure

Databricks

SQL

Python

PySpark

Data engineering

Data integration

English proficiency

Stakeholder management

Education

Bachelor's degree in Computer Science/IT/Engineering

Job description

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.

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

At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 20 240 PLN, with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.

This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.

• Medical care above statutory requirements
• Flexible benefits supporting leisure, and well‑being/sports programs
• Life, accident, and disability insurance through group coverage
• Employer‑supported pension plans with regular company contributions
• Home office allowance to support hybrid or remote work
• Extra Paid Holidays

Benefits may vary depending on country, role, and employment conditions.

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

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.

Bayer offers the possibility of working in a hybrid model. We know how important work‑life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.

Bayer respects and applies the Whistleblower Act in Poland.

Location: Poland : Mazowieckie : Warszawa

Division: Enabling Functions

Reference Code: 891944