Data Engineer

Build the data foundations our products and our clients' AI systems run on: reliable pipelines, lakehouse models and governed, well-tested data that agents and people can trust.

Last updated November 2, 2026

Employment type
Full-time
Location
Remote
Where you can work from
EU (all 27 member states)
Department
Data & AI Engineering
Posted
November 2, 2026
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About Bandpey

Bandpey GmbH is an international data and AI software company in Munich, Germany. We build agent-first products, Facthory, Emolysis, Copolly and Inteliwert, and we design, build and operate production AI systems for enterprises.

The role

Every useful AI system stands on data that is correct, current and allowed to be used. As a data engineer at Bandpey you build that foundation, for our own products and for client platforms: the pipelines, models, quality checks and access controls that let agents and analysts work with confidence. You own your data products in production, from ingestion to the people and agents who rely on them.

What you will do
  • Design and build batch and streaming pipelines that ingest data from operational systems, documents, APIs and events.
  • Model data in lakehouse platforms such as Databricks and open table formats, so it serves analytics, retrieval and machine learning.
  • Build data quality checks, lineage and governance into the pipelines, including permissions that follow the data.
  • Tune performance and cost, and make pipelines observable, testable and easy to change.
  • Work with AI engineers on retrieval data, evaluation sets and features for agents and models.
  • Deliver in the cloud and on premises, including environments where data cannot leave the client's site.
What you bring
  • Several years of data engineering experience with pipelines you built and ran in production.
  • Expert SQL and strong Python.
  • Hands-on experience with Apache Spark and Databricks or a comparable lakehouse platform.
  • Experience with orchestration tools such as Databricks Workflows, Airflow or Dagster.
  • Solid data modelling, and the habit of testing data and pipelines like software, with version control and CI.
  • Clear communication with engineers, analysts and business owners.
  • Fluent English. German is a plus.
Nice to have
  • Streaming with Kafka, NATS or similar.
  • DuckDB, dbt, Unity Catalog or MLflow.
  • PostgreSQL and vector search for retrieval workloads.
  • Rust for performance-critical data services.
  • Experience with regulated data in healthcare, financial services or the public sector.
How we work
  • A small team of engineers who build and run our own products, working directly with the founders.
  • Remote within the EU, with time on site with clients when it helps the work.
  • Spec-first, test-backed engineering with modern AI tooling. Our technology radar shows what we use.
How to apply

Email direct@bandpey.com with the role title in the subject line, your CV or profile, and a short note on a data platform you built or ran. See our Privacy Statement for how we handle applicant data.