Data Engineer

Our Company

At Boehringer Ingelheim we develop breakthrough therapies and innovative healthcare solutions in areas of unmet medical need for both humans and animals. As a family owned company, we focus on long-term performance. We believe that, if we have talented and ambitious people who are passionate about innovation, there is no limit to what we can achieve; after all, we started with just 28 people. Now, we are powered by 50,000 employees globally who nurture a diverse, collaborative and inclusive culture.

Data Engineer

Vienna

JOB-ID:
28066

The position

As of now we are seeking a skilled and motivated Data Engineer to join the IT RDM CI Data Excellence team. In this role, you will enable fast and reliable data delivery to the right environments, supporting cutting-edge use cases in Artificial Intelligence (AI) and Machine Learning (ML). You'll work closely with researchers, data scientists, and analysts your work will empower our researchers to achieve breakthrough therapies for our patients.

Tasks & responsibilities

* Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
* Collaborate with data architects, modelers and IT team members to help define and evolve the overall cloud-based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks.
* Optimize and manage data storage solutions and data integrations (e.g., S3, Snowflake, dbt, Snaplogic) ensuring data quality, integrity, security, and accessibility.
* Utilize AWS cloud services (e.g., S3, Lambda, Step function, KMS) to support data engineering workflows.
* Monitor and optimize data pipelines for performance, scalability, and cost efficiency.

Requirements

* Bachelor's/ Master's degree in Computer Science, Engineering or related field, or equivalent proven experience as a Data Engineer, Software Developer or similar role.
* Proficiency with the Apache ecosystem (Parquet, Iceberg, Spark, Kafka, Airflow).
* Demonstrated hands-on experience with AWS data services (Kinesis, Glue, Appflow, Lambda, S3), Snowflake and dbt (dbt labs) for building and modeling data pipelines.
* Strong analytical skills working with unstructured datasets.
* Excellent English written and verbal communication skills.

Your Benefits

* Flexible working time models: home office and flexible working hours, depending on department and position - many things are possible with us.
* Additional days off ("bridge-days"): more free time through additional days off to bridge single working days between bank holidays and the weekend - without having to use vacation days.
* Canteen & Cafeteria: whether it's coffee and croissant for breakfast, various lunch menus or snacks in between - our subsidized staff restaurant & cafeteria has something for every taste including vegetarian and vegan options.
* Learning & development: diverse training and development opportunities for your personal and professional growth. Because: you never stop learning.
* Health promotion: health is important to us - that's why we offer different programs to promote physical and mental health.
* Public transport ticket: we encourage our employees to use public transport on their daily way to work. Costs for public transport? We cover them!

The remuneration for this position starts at EUR 59.400 gross annual target salary per year (full time). The actual salary package depends on professional experience and qualifications. We will be happy to discuss further details in person.

We are looking forward to receiving your application online!

By uploading your application documents via our application portal, we can treat your data confidentially and in compliance with the GDPR.

Do you have any additional questions about the position? Your HR Recruiting Manager for this position is Mariana Iendzhiievska.

On our career site you will find further information about Boehringer Ingelheim as an employer as well as information about the application process and our different departments.

Would you like to know what makes our employees special? What they tell about their motivation and their everyday work? Watch this video and hear for yourself what our colleagues have to share.