Who We Are

We’re looking for a Senior Software Engineer to work closely with our CTO and product team. If you thrive in the fast-moving environment of a small team and want to make a tangible impact on the product of an early-stage startup, this role is for you.

At dltHub, we’re building dlt, an open-source library that transforms messy, unstructured data into clean, actionable datasets. Designed for anyone who knows Python, dlt automates tedious data engineering tasks and is already trusted by over 1,000 customers in production.

We’re developing a paid product and looking for a passionate Python engineer to shape the future of dltHub. Our goal is to establish dlt as the open source standard for data loading and revolutionize data engineering in the era of LLMs and agents.

dltHub is based in Berlin and New York City. It was founded by data and machine learning veterans. We are backed by Foundation Capital, Dig Ventures, and many technical founders from companies such as Hugging Face, Outerbounds, Matillion, Miro, MotherDuck, Datadog, Mode and Rasa.

Who You Are

If you are fascinated by the emerging ecosystem of data and machine learning libraries in Python and want to contribute to its growth, this job is for you.

• You really like Python and are fluent in writing Python code (e.g., Python typing, unit testing, writing docstrings, etc.)
• You know what the Modern Data Stack is and have experience interacting with its components like warehouses, data lakes etc.
• You know some of the Python libraries and technologies that dlt interacts with i.e. vector stores, data lakes, storage buckets, or local engines like DuckDB, Arrow, Iceberg or delta-rs.
• You know SQL, relational model of a database, and have an understanding of transactions, atomicity, concurrency, and similar fundamentals of DBMSes.
• You have a degree in computer science, data science, or other equivalent experience.
• You are familiar with GitHub workflows (e.g., pull requests, code reviews, CI/CD services, etc.)
• You’re genuinely interested in interacting with our community and writing well structured and easy to understand documentation of the features you build.
• You are based in Berlin and willing to work in our office regularly.

Requirements

Your Task and Responsibilities

• Design and implement our commercial product. This involves both writing Python code and listening to our customers, who are running sophisticated data platforms we augment.
• You’ll be on top of recent trends in how data platforms are built and will be able to serve as a technical expert or architect. You’ll work closely with our Solution Engineering team and help them solve real-world problems our customers face.
• Contribute to the dlt open source core, including code, tests, and documentation
• Maintain the open source project with the team (e.g., review PRs, resolve issues, talk with community contributors, write docs, etc.)

Nice to Have

• Experience with DevOps (e.g., CI systems like GitHub Actions, Docker, Kubernetes, AWS/GCP/Digital Ocean, etc.)
• Experience with warehouses and data lakes: Snowflake, BigQuery, Databricks, Iceberg.

Benefits

What we offer

In our work culture, we value each other’s autonomy and efficiency. We have set hours for communication and deep work. We like automation, so we automate our work before we automate the work of others.

• We are an office-first company but give you plenty of opportunities for deep work and work from home. Dedicated "no meeting days" to help the team focus on their most impactful work.
• As we work often from the Berlin office, we cover your public transportation ticket.
• We are deeply committed to your personal and professional growth, so we have an annual budget for learning and development.
• We offer regular subsidized team lunches and Urban Sports Club membership.
• We also have an ESOP plan for employees, depending on their role and dedication. We provide an option to increase your ESOP if you grow with us.