Job Description
Döhler is a global producer, marketer and provider of technology-driven natural ingredients, ingredient systems and integrated solutions for the global food, beverage and life science & nutrition industry. Döhler is all about mastering sensory experience and nutritional performance. Being sustainable by nature, Döhler helps to nourish the world better: Good for people – Good for planet. Your Profile Your Profile What We Offer: We welcome applications from people of all backgrounds regardless of age, ancestry, disability, ethnic origin, gender, gender identity or expression, nationality, religion, sexual orientation, social background or any other characteristic protected by applicable laws, regulations and ordinances. Does it feel like a fit? Then apply through our online career portal and attach it to your application. Please note that we are unable to consider or return application documents sent by post.Company Description
Job Description
Your Role
• You administrate the backend data foundation for Celonis end-to-end: data extraction, pipelines, and data modeling—built for scale, quality, and reuse.
• You act as the key interface between Celonis and the Databricks Lakehouse: you translate business questions into standardized data product requirements, model them in Databricks, and enable seamless consumption in Celonis.
• You manage and continuously improve data products in the central Databricks Data Lakehouse (lifecycle, performance, reliability, documentation).
• You challenge requirements, spot gaps early, and drive the necessary transfer from “request” to “standard”- no 1:1 implementations, but thoughtful solution design.
• You embed governance and standards by default, proactively questioning any custom logic and ensuring maintainable, auditable outcomes.
• You have successfully completed your studies in (Business) Computer Science, (Business) Informatics, or similar.
• You bring hands-on experience in data product architecture and the end-to-end creation of data products (reusable data models, clear data contracts/interfaces, quality-by-design).
• You have a strong engineering skill set in modern Lakehouse / Big Data technologies, e.g.:
o Spark SQL and scalable data modeling
o Big Data management (performance, partitioning, reliability)
o Delta Sharing
o Batch processing and streaming pipeline design
• You have hands-on experience with Databricks and/or Celonis, DBT and Git and use these tools confidently in a production environment.
• You combine strong technical depth with business understanding and can prioritize impact over complexity.
• You communicate confidently in English, especially when discussing detailed logic, aligning stakeholders, and closing briefing gaps with your own expertise.
Qualifications
• You have successfully completed your studies in (Business) Computer Science, (Business) Informatics, or similar.
• You bring hands-on experience 8 to 12 years in data product architecture and the end-to-end creation of data products (reusable data models, clear data contracts/interfaces, quality-by-design).
• You have a strong engineering skill set in modern Lakehouse / Big Data technologies, e.g.:
o Spark SQL and scalable data modeling
o Big Data management (performance, partitioning, reliability)
o Delta Sharing
o Batch processing and streaming pipeline design
• You have hands-on experience with Databricks and/or Celonis, DBT and Git and use these tools confidently in a production environment.
• You combine strong technical depth with business understanding and can prioritize impact over complexity.
• You communicate confidently in English, especially when discussing detailed logic, aligning stakeholders, and closing briefing gaps with your own expertise.
Additional Information
Equal Opportunities for All
A good match starts with shared values. Complete our Culture Fit Challenge to find out how well your mindset aligns with the way we work.
Job Details
| Role Level: | Executive-Level | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Hinjawadi ,Maharashtra |
| Company Website: | https://www.doehler.com | Job Function: | Data Science & AI |
| Company Industry/ Sector: |
Food and Beverage Manufacturing | ||
What We Offer
About the Company
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