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Data Engineer DA3CH (all genders)

Data Engineer DA3CH (all genders)

Data Engineer DA3CH (all genders)

Data Engineer DA3CH (all genders)

Bayer AG Pharmaceuticals

Beratung, Consulting

Leverkusen

  • Art der Beschäftigung: Vollzeit
  • 60.500 € – 80.500 € (von XING geschätzt)
  • Vor Ort

Data Engineer DA3CH (all genders)

Über diesen Job

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.

Data Engineer DA3CH (all genders)

The Data Engineer (all genders) is the driving and responsible force behind the technical integration of new commercial data sources in the pharmaceutical sector (DA3CH) within the framework of a regional data architecture and integration strategy under their ownership, enabling existing and innovative automated data solutions for a broad user base across product and customer teams. This expert role is of great importance to the success of our company, as it enables product teams to achieve their financial KPIs through the technical implementation and harmonization of local data streams within a regional data strategy.

YOUR TASKS AND RESPONSIBILITIES

  • You are responsible for the technical implementation of local and regional data architectures from various data sources (e.g., sales and activity data) to provide harmonized and reusable data models and KPIs at both the country level and across the DA3CH cluster
  • You develop sustainable data integration strategies that account for the diverse requirements of individual countries within a shared regional framework
  • You work closely with local Data Stewards and Data Scientists to build robust data architectures for analytics, reporting, and AI applications
  • Together with global data professionals and external consultants, you develop commercial analytics use cases and end‑to‑end business solutions with clear added value
  • You implement automated controls to ensure data quality and thus deliver reliable and accurate data
  • You remove technical barriers for data professionals in the DA3CH cluster (Customer Insights & Analytics Manager, Data Scientists, Data Stewards) as well as for product and customer teams, ensuring optimal access to local data sources and efficient use of the commercial data platform
  • You communicate technical concepts in an understandable way to stakeholders without an IT background to foster acceptance and drive innovation
  • You represent the region in global data integration and data strategy communities and proactively contribute to regional needs

WHO YOU ARE

  • Master’s degree in quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Natural Sciences, or Economics)
  • Several years of professional experience (*without specifying exact numbers) in relational database modeling and programming
  • Strong proficiency in Python and SQL, as well as experience with GitHub and CI/CD (GitHub Actions)
  • Know‑how in modern data engineering tools, ideally Dagster and DBT
  • Experience in building efficient data architectures and data pipelines
  • Hands‑on experience with data‑warehouse technologies such as Snowflake, as well as in cleansing and integrating heterogeneous data sources
  • Preferably experience in the pharmaceutical or healthcare environment, including an understanding of commercial sales and activity data (e.g., Veeva CRM, IQVIA)
  • High willingness to learn across technical, analytical, and communication areas, as well as fluency in English; German skills are an advantage

WHAT WE OFFER

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

  • We ensure your financial stability with a competitive salary between 104.300€ and 126.500 € yearly (full-time). Your compensation is based on your qualifications, skills, and professional experience
  • Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you
  • Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more
  • We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs
  • We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor
  • We emb diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work

The position is to be filled at Bayer Vital.

#LI-AMSEMEA

Bayer welcomes and encourages applications from people with disabilities. Candidates participating in our selection process requiring accommodation due to a disability or medical need are encouraged to notify the Bayer representative that they will be meeting with to ensure appropriate arrangements can be made.

We use AI tools to support our recruitment process, including helping us organize applications and identify early matches based on role criteria. Every rejection decision is made by a human.

Location:

Germany : North Rhine Westfalia : Leverkusen

Division:

Pharmaceuticals

Reference Code:

862735

#Jobdrehscheibe

Bereitgestellt in Kooperation mit der Bundesagentur für Arbeit.

Gehalts-Prognose

Unternehmens-Details

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Bayer AG Pharmaceuticals

Pharmazeutische Produkte, Arzneimittel

Berlin, Deutschland

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