Data engineer in tax

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

Benefits offered by this job

Гибридный режим

Медицинское страхование

Пенсионное обеспечение

Job summary

Компания Bayer ищет опытного Senior Data Engineer для поддержки финансовых дата-продуктов и интеграций в рамках Enterprise Data & Analytics Platform.

Ваша роль — лидировать проектирование потоков данных между операционными системами, BI-решениями и финансовыми доменами: бухгалтерский учет, контроллинг, казначейство, налоги.

Qualifications

• Степень в области информатики, информационных технологий, инженерии или смежной области.
• Опыт в Data Engineering, Data Integration, Data Analytics или смежных дисциплинах.
• Опыт работы над инициативами на уровне предприятия и с разными стейкхолдерами.

Responsibilities

• Проектирование и внедрение потоков данных между операционными системами, аналитическими платформами и BI-решениями.
• Поддержка финансовых Data продукты и интеграций в областях управленческого учета, казначейства, банковской деятельности и налогов.
• Руководство техническими командами и обеспечение качества реализации, архитектурной соответствия и сроков.
• Анализ источников данных, моделирование данных и участие в выборе архитектурных подходов.
• Сообщение результатов для бизнес- и технических стейкхолдеров, работа в многопрофильной международной среде.

Job description

Описание: 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.

Задачи:

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.

Требования:

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. Будет плюсом: 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.

Условия:

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. In addition, Bayer offers a competitive and holistic benefits package, including: 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. 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.