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A leading data engineering company in Berlin is seeking an entrepreneurial software engineer to join their team. The successful candidate will thrive in a fast-paced environment, owning features from design to implementation. You’ll tackle data platform challenges and collaborate with an ambitious team that values autonomy. Ideal candidates have 7+ years in software development, strong Python skills, and a passion for data systems. The role is office-first, with regular onsite work encouraged.
At dltHub, we’re building on the success of dlt, the most popular open‑source library for data loading in Python with ~ 4 million monthly downloads.
After proving its value in the OSS community, we’re now building dltHub to make data engineering accessible to all Python developers, whether they’re launching their first analytics workflow or powering full ML‑driven organizations.
Our mission is to make data engineering as accessible, collaborative, and frictionless as writing Python itself. dltHub is a workspace and runtime that empowers any Python developer to build, run, and maintain data pipelines, transformations, and notebooks, without needing a data platform or infrastructure team.
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.
Our team is driven by clear values: we speak with courage, build what matters, automate relentlessly, show up with energy, deliver on commitments, and win together.
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.
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.