Senior Software Engineer (Python Backend)

dltHub is built on dlt , the most widely adopted open-source Python library for data loading with ~4 Million monthly downloads . We are building the next generation of AI-native data tooling on top of our strong OSS foundation.

We’re a highly dynamic, fast-moving team founded by experienced data and ML engineers, with roots in Berlin and a growing presence in the US.

Founded by experienced data and ML engineers, we're backed by Bessemer Venture Partners , Foundation Capital , Dig Ventures , and technical founders from Hugging Face , Instanta , Matillion , Miro , MotherDuck , DataDog , Mode , LanceDB and Rasa . We are building the next generation of AI-native data tooling - building our AI-first data platform on top of our popular open-source data ingestion core.

We are looking for an entrepreneurial software engineer based in Berlin who thrives in a fast-paced environment with a high degree of autonomy and ownership. You will work on solving data platform challenges for our customers: ingestion, storage, performance, reliability, observability and AI-assisted developer experience. If you enjoy working with an ambitious and driven team and care deeply about code quality, data systems, and building tools that engineers enjoy using, this role is for you.

&##Own features end-to-end: design, planning, implementation, tests, documentation, maintenance and improvements.

Design and implement solutions that integrate with modern data stacks: warehouses, lakes, object storage, and analytics engines.

Sustain a culture of experimentation by keeping up with developments in the Python ecosystem, AI-assisted development workflows, and evolving data architectures and technologies.

7+ years of experience in software development and/or data engineering.

• Strong Python skills: clean design, typing, testing, and maintainable code.
• Solid understanding of data engineering fundamentals: data ware-/lakehouses, object storage, data ingestion and transformation patterns.
• Good SQL knowledge and understanding of databases, transactions, and concurrency.
• Experience working with modern Python data tools (e.g. Passion and curiosity for AI-assisted software development workflows
• Experience building developer-facing APIs, SDKs, or tooling.

Data Platform/Platform engineering experience (e.g. Docker, GitHub Actions, Kubernetes, AWS/GCP) or frontend engineering experience.

Hands-on experience with data platforms like Snowflake, BigQuery, Databricks, or Iceberg.

Contributions to open-source projects.

Benefits

We are an office-first company but give you plenty of opportunities for deep work and work from home.