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At dltHub, we're building on the success of dlt, the most popular open-source library for data loading in Python with over 2 million monthly downloads. After proving its value in the OSS community, we’re now building our commercial offering, dltHub, to make data engineering accessible to all Python developers.
Our team is based in Berlin, now growing into other locations, especially across the US. Founded by experienced data and ML engineers, we're backed by Foundation Capital, Dig Ventures, and technical founders from Hugging Face, Instana, Matillion, Miro, MotherDuck, Datadog, Mode, and Rasa.
We're building a new service from the ground up that brings together the DLT library, an LLM-first development workspace, and data lake storage and runtime for data pipelines and notebooks. This takes our stack beyond Python into new languages, infrastructure, and systems. We're looking to grow the team with people who bring the right skills and background.
Our focus is on deeply understanding user needs and developing the best technologies to meet them. To make that happen, we’re looking for smart, driven people who will, over time, take ownership of key parts of the product.
If you're curious about working with us, here are a few things to look into:
You’ll be part of the CTO’s team, working across tech and product. Here are some of the people you’ll be working with.
Requirements
Here’s the stack we use (or plan to use) so you can quickly see if it’s a good fit for you. Strong Python knowledge is essential. You don’t need to know everything listed, but if you’re confident in any of the areas below, we’d love to hear from you.
Benefits
In our work culture, we value each other’s autonomy and efficiency. We have dedicated hours for communication and deep work. We like automation, so we automate our work before we automate the work of others.