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
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!