(Senior) Data Engineer (fmx)

Audibene

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profile Job Location:

Berlin - Germany

profile Monthly Salary: Not Disclosed
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Job Summary

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

Were seeking an experienced Senior Data Engineer to help shape the future of hearing care through cutting edge data infrastructure. Youll take full ownership of the complete data lifecycle from ingestion and transformation to powering AI agents and LLMs through our semantic layer. This isnt traditional analytics; youre 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 youll make our customers happy every day by helping them hear better.
  • Youll 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 youll 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 50000 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 youre welcome to bring your furry friend to work!

About audibene

audibene/ 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 200000 customers to bring the joy of life back.

Join us on our mission to transform the hearing care industry and change peoples lives!

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 roleWere seeking an experienced Senior Data Engineer to help shape the future of hearing care through cutt...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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Größter Online-Anbieter von High-Tech-Hörsystemen. Vom Berliner Start-up zur Anlaufstelle Nummer 1 für gutes Hören rund um den Globus.

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