Join to apply for the Data Modelling Specialist role at Boehringer Ingelheim
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Join to apply for the Data Modelling Specialist role at Boehringer Ingelheim
Boehringer Ingelheim is seeking a Data Modeler to join our Data Operations Team. This role is responsible to design, govern, and evolve scalable, reusable, and production‑grade data models within the team. These models serve as foundational assets for advanced analytics, AI, and business‑critical decision‑making across the pharmaceutical value chain.
The data modeler will lead the end‑to‑end design and implementation of data models using industry standard data modelling techniques, i.e. Data Vault 2.0 Immon or Kimbell, while ensuring seamless orchestration and deployment through dbt, Snowflake, Apache Airflow, and Jenkins. The role will be instrumental in driving performance optimisation, cost efficiency, and operational excellence across our cloud data ecosystem.
This role requires strong understanding of business needs and a technical understanding of data modelling, ELT/ETL processes, and data warehousing principles — especially around Information Modelling and Data Vault 2.0 to derive a model which fits to the business use cases. While you won’t be coding every day, you must be capable of diving into code, reviewing designs, and resolving technical roadblocks alongside your team.
Tasks and Responsibilities
- Design and deployment of robust data models to support interoperability, traceability, and analytics across domains, based on implementation of modelling best practices and continuous enhancements.
- Align models with internal and industry‑wide standards, collaborating with governance teams to ensure quality and compliance.
- Partner with business leaders to translate requirements into effective data structures and influence data strategy decisions.
- Adopt modern data modelling approaches, foster innovation, and promote efficiency within the team.
- Establish processes to validate model integrity, ensure auditability, and manage lifecycle updates.
Requirements
- 2+ years in data modelling, data strategy, or enterprise data warehousing in the pharmaceutical or regulated industries. Proficiency in relational, dimensional, and semantic modelling methodologies, with hands‑on experience on modelling tools such as Innovator, SqlDBM, Erwin, etc.
- Strong communication, problem‑solving, and stakeholder management abilities, with a focus on scalability and long‑term impact.
- Strong proficiency in SQL, with hands‑on experience building and maintaining dbt models, i.e. stored in Snowflake, for large‑scale data transformation.
- Experience working within Git‑based development workflows, CI/CD practices, and Jira‑based sprint planning and backlog management.
- Deep understanding of regulatory requirements, data governance practices, and industry trends.
- Strong communication skills in English spoken and written.
#IamBoehringerIngelheim because…
We are continuously working to design the best experience for you. Here are some examples of how we will take care of you:
- Versátil working conditions
- Life and accident insurance
- Health insurance at a competitive price
- Investment in your learning and development
- Gym membership discounts
If you have read this far, what are you waiting for to apply? We want to know more about you!
Our Company
Why Boehringer Ingelheim?
With us, you can develop your own path in a company with a culture that knows our differences are our strengths — and break new ground in the drive to make millions of lives better.
Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.
Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after — as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.
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Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Pharmaceutical Manufacturing
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