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(Senior) Data Engineer (f/m/x)

Berlin, Berlin, Germany

Everyone should hear well to live well. This is what we believe in at audibene, driven by the purpose of changing lives of our customers. And we need your help in this exciting journey.

About the role

We're seeking an experienced Senior Data Engineer to help shape the future of hearing care through cutting edge data infrastructure. You'll take full ownership of the complete data lifecycle from ingestion and transformation to powering AI agents and LLMs through our semantic layer. This isn't traditional analytics; you're building data products that drive intelligent automation and decision making at scale. 

Your responsibilities 

  • Design and build robust, high performance data pipelines using our modern stack (Airflow, Snowflake, Pulsar, Kubernetes) that feed directly into our semantic layer and data catalog 

     

     

  • Create data products optimized for consumption by AI agents and LLMs where data quality, context, and semantic richness are crucial 

     

  • Structure and transform data to be inherently machine readable, with rich metadata and clear lineage that powers intelligent applications 

     

  • Take responsibility from raw data ingestion through to semantic modeling, ensuring data is not just accurate but contextually rich and agent ready 

     

  • Champion best practices in building LLM consumable data products, optimize for both human and machine consumers, and help evolve our dbt transformation layer 

     

  • Built data products for AI/LLM consumption, not just analytics dashboards

Your profile

  • 5+ years of hands on experience with complex ETL processes, data modeling, and large scale data systems 

     

  • Production experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift) on AWS, GCP, or Azure 

     

  • Proficiency in building and optimizing data transformations and pipelines in python 

     

  • Experience with columnar storage, MPP databases, and distributed data processing architectures 

     

  • Ability to translate complex technical concepts for diverse audiences, from engineers to business stakeholders 

     

  • Experience with semantic layers, data catalogs, or metadata management systems 

     

  • Familiarity with modern analytical databases like Snowflake, BigQuery, ClickHouse, DuckDB, or similar systems 

     

  • Experience with streaming technologies like Kafka, Pulsar, Redpanda, or Kinesis 

What we offer 

  • At audibene, you'll make our customers happy every day by helping them hear better.
  • You’ll work 4 days a week from our office (Berlin/Mainz) with a passionate team, and 1 day a week from home.
  • As part of the audibene team, you’ll regularly join on- and offline team events, company off-sites, and the annual audibene Wandertag.
  • We cover the cost of the Deutschland-Ticket so you can easily get wherever you need to go.
  • Stay fit and healthy with access to over 50,000 gyms and wellness facilities through Urban Sports Club.
  • We support your personal development with a wide range of programs, trainings, and coaching opportunities.
  • Our office is dog-friendly, you're welcome to bring your furry friend to work! 

 

 About audibene

audibene/ hear.com is one of the fastest-growing health technology companies ever. Our unique digital business model has revolutionized the industry and the way hearing care is provided. Since we started our journey in Berlin in 2012, we have scaled up our team from 2 to over 1200 people in 8 international locations from Denver to Seoul. Driven by our belief that every person should hear well to live well, we have helped more than 200,000 customers to bring the joy of life back.

Join us on our mission to transform the hearing care industry and change people’s lives!

 

 



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Demographic Question audibene.de

English:

As an equal opportunity employer, we welcome applications from candidates regardless of race, religion, gender identity, sexual orientation, age, disability or background.

We are committed to inclusive hiring, and this data will allow us to measure our progress in attracting diverse talent to audibene.

We are aware that there are many different dimensions of diversity, however, we have decided to begin with tracking gender. To support us in our diversity efforts, we would really appreciate your voluntary self-identification. Any information that you provide will be held in a confidential file and will not be considered in the hiring process. This data will also be deleted after 6 months, in accordance with GDPR.

German:

Als Arbeitgeber, der auf Chancengleichheit achtet, begrüßen wir Bewerbungen unabhängig von Ethnie/Herkunft, Religion, Geschlechtsidentität, sexueller Orientierung, Alter, Behinderung oder anderweitigen Hintergrund.

Wir engagieren uns für Integration und die erfragten Daten ermöglichen es uns, unseren Fortschritt bei der Gewinnung vielfältiger Talente bei audibene zu messen.

Wir sind uns bewusst, dass es in Sachen Diversität viele verschiedene Dimensionen gibt. Daher haben wir uns entschieden mit der Geschlechtserfassung zu beginnen. Um uns bei unseren Bemühungen für mehr Diversität zu unterstützen, würden wir uns über deine freiwillige Selbstauskunft freuen. Alle deine Informationen werden in einem vertraulichen Dokument gespeichert und beim Einstellungsprozess nicht berücksichtigt. Gemäß der DS-GVO, werden die Daten nach 6 Monaten gelöscht.

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