We are looking for a Software or Data Engineer that is experienced in high performance Python data processing libraries (often referred to as the Composable Data Stack). You will collaborate directly with our CTO and be part of the core product team.
dlt is an open-source library that automatically creates datasets from messy, unstructured data sources. You can use the library to move data from about anywhere into the most well-known SQL and vector stores, data lakes, storage buckets, or local engines such as DuckDB, Arrow or delta-rs. The library automates many cumbersome data engineering tasks and can be handled by anyone who knows Python. You can see more details in this Hacker News article.
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 Datadog, Instana, Hugging Face, MotherDuck, Mesosphere, Matillion, Miro, and Rasa.
dlt is a missing part between traditional Modern Data Stack and the emerging Pythonic Composable Data Stack: a gateway that creates datasets which the other components can then process. Our mission is to integrate dlt fully with this new, emerging ecosystem in a way that our users love. This means we respect their time, effort and previous investments in modern data stack when designing features. To support this mission your tasks and responsibilities include:
Requirements
If you are fascinated by the emerging ecosystem of data libraries in Python, which allows you to do on a single machine what until recently was possibly only in the cloud - then you’ll enjoy working with us.
Benefits
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.
Last updated on Aug 24, 2024
Berlin, Berlin
·30+ days ago
Berlin, Berlin
·30+ days ago
Berlin, Berlin
·30+ days ago
Berlin, Berlin
·30+ days ago
Berlin, Berlin
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Berlin, Berlin
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Frankfurt, Hessen
·30+ days ago
Berlin, Berlin
·30+ days ago