Prematch is hiring a (Senior) Data Engineer (f/m/x) to shape the future of hearing care through robust data infrastructure. You'll build data products that drive intelligent automation and decision-making at scale, taking full ownership from raw data ingestion to powering AI agents and LLMs.
What You'll Do
- Design and build robust, high-performance data pipelines using a modern stack, including Airflow, Snowflake, Pulsar, and Kubernetes.
- Create data products optimized for consumption by AI agents and LLMs, focusing on data quality, context, and semantic richness.
- Structure and transform data to be inherently machine-readable, with rich metadata and clear lineage for intelligent applications.
- Take responsibility from raw data ingestion through to semantic modeling, ensuring data is contextually rich and agent-ready.
- Champion best practices in building LLM-consumable data products and optimize for both human and machine consumers.
- Help evolve the dbt transformation layer.
What We're Looking For
- 5+ years of hands-on experience with complex ETL processes, data modeling, and large-scale data systems.
- Production experience with modern cloud data warehouses like Snowflake, BigQuery, or 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.
Nice to Have
- Experience with semantic layers, data catalogs, or metadata management systems.
- Familiarity with modern analytical databases like Snowflake, BigQuery, ClickHouse, DuckDB, or similar.
- Experience with streaming technologies like Kafka, Pulsar, Redpanda, or Kinesis.
Technical Stack
- Orchestration & Infrastructure: Airflow, Kubernetes
- Data Warehouses & Processing: Snowflake, BigQuery, Redshift, ClickHouse, DuckDB
- Streaming & Messaging: Pulsar, Kafka, Redpanda, Kinesis
- Languages & Tools: Python, dbt
- Cloud Platforms: AWS, GCP, Azure
Benefits & Compensation
- Work 4 days a week from the office (Berlin or Mainz) and 1 day from home.
- Regular on- and offline team events, company off-sites, and an annual audibene Wandertag.
- Cost of Deutschland-Ticket covered for transportation.
- Access to over 50,000 gyms and wellness facilities through Urban Sports Club.
- Personal development support with programs, trainings, and coaching opportunities.
- Dog-friendly office.
Work Mode
This is a hybrid role, requiring presence in our Berlin or Mainz offices for four days a week.
Prematch is an equal opportunity employer.
