Senior Data Engineer Jobs

Audibene GmbH

Location:
Germany, Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

Requirements:

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:

Work 4 days a week from our office (Berlin/Mainz) with a passionate team, and 1 day a week from home
Regularly join on- and offline team events, company off-sites, and the annual audibene Wandertag
Cost of the Deutschland-Ticket covered
Access to over 50,000 gyms and wellness facilities through Urban Sports Club
Support for personal development with a wide range of programs, trainings, and coaching opportunities
Dog-friendly office

Additional Information:

Job Posted:
December 06, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Engineer