Are you an experienced professional with a knack for IT? Do you thrive in an environment where you can shape strategy and drive technical solutions? If so, Boehringer Ingelheim has an exciting opportunity for you. We're inviting you to join our Data Solutions team, a place where you can make a real impact.
This position offers more than a job; it's an opportunity to boost our digital initiatives with your specialized knowledge in Data Engineering. As a key player, you will lead the charge in meeting our dynamic business needs and play a pivotal role in equipping digital use cases with the necessary data and insights.
Functions and Responsibilities:
* You will support medium to large data engineering projects/products within Data Solutions team.
* You will develop ETL pipelines, integration solutions and data modeling strategies to optimize performance and efficiency.
* You will define and govern data engineering standard for digital use cases running in the team.
* You will identify and implement optimal solutions for data originating from different sources, delivering significant value to our business units.
* You will forge and nurture partnerships with key stakeholders in IT and business, ensuring the maintenance of strong, collaborative relationships.
* You will be responsible for designing and implementing processes to ensure systematic collection, integration, distribution and quality control of data through automated routines.
Profile & Requirements:
* Master's degree in IT, alternatively bachelor’s degree with long-term relevant working experience.
* At least 3 years of experience defined area in data engineering.
* Experience in Agile methodology with a proven track record working in cross-functional projects.
* Proficiency in Python and strong SQL skills for complex data operations and familiarity with NoSQL data storage solutions.
* Strong hands‑on experience with AWS data services (S3, Glue, Lambda, Athena, CloudFormation, CodeBuild, CodePipeline, MWAA, EventBridge, CloudWatch).
* Demonstrated experience building and managing data lakes, ETL processes, data modeling, and data transformation using Snowflake and dbt.
* Solid understanding of version control with Git and collaborative development workflows.
* Experience with CI/CD pipelines using Jenkins and/or AWS CodeBuild/CodePipeline.
* Experience with DataOps framework and infrastructure as code.
* Experience with GenAI and other cutting‑edge technologies in the fields of Data Engineering and AI.
* Ability to create technical documentation and proficient in unit and integration testing.
* Proactive with ability to confidently navigate difficult situations, resolve conflicts, and build consensus.
* Fluent in English (both written and spoken). Additional language skill (German, Spanish) is a bonus.
We are continuously working to design the best experience for you. Here are some examples of how we will take care of you:
* Flexible working conditions
* Life and accident insurance
* Health insurance at a competitive price
* Investment in your learning and development
If you have read this far, what are you waiting for to apply? We want to know more about you!
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