Werkstudent Python Data Engineer (m/w/d)
Dlthub
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 dltHub to make data engineering accessible to all Python developers.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.
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 .
If you thrive in a fast-paced environment and want to help shape a product that’s changing how developers work with data, let’s talk.
We’re looking for our first dedicated data hire at dlthub. You’ll take ownership of our existing data stack (built by our team of data-savvy professionals) and evolve it to meet new business needs.
This is a hands-on role where you’ll improve how we collect, structure, and use data end-to-end. Your work will shape how we use data to understand customers, qualify leads, measure performance, and make better decisions across the company. This is a rare chance to step into a role with real ownership, senior coaching, and the space to figure things out, at a company building the future of open-source data infrastructure.
Steward our data : keep existing pipelines and models lean, clean, and reliable.
Work across teams : partner with marketing, sales ops, and product to understand their questions and deliver the datasets that enable them.
Think like an entrepreneur : go beyond requests, understand the business and find ways data can help.
Enable growth : build the foundations for the customer model, product analytics, and go-to-market insights.
You are motivated by solving real business problems with data. You enjoy stitching together messy customer and lead information, finding patterns, and turning insights into action that helps sales and marketing succeed.
You are independent and proactive: when faced with a question, you don’t wait to be told what to do, you explore the data, test approaches, and bring back answers or proposals. You’re excited by the opportunity to shape how we use data, improve how we work with customers, and drive growth. Along the way, you’ll get exposure to senior colleagues, learn quickly, and expand your skills, but your primary motivation is to make the business stronger with data.
You have experience with SQL and Python
You understand dimensional modelling
You have experience using APIs, ETL/ELT processes, data warehouses, and databases more generally.
You have familiarity with dashboarding/BI tools (Tableau, Power BI, Metabase, Looker, etc.).
Bonus : Exposure to Cypher or other graph query languages.
Bonus : Exposure to modern data pipeline frameworks like dbt, SQLMesh, or Airflow.
Bonus : Exposure to cloud deployment experience (GCP, AWS, or Azure).
Benefits
At dlthub, you’ll work directly with senior professionals who guide and coach, but don’t micromanage. You’ll have real ownership, freedom to figure things out, and the credibility of working with a team shaping the future of data. We are an office-first company but give you plenty of opportunities for deep work and work from home. We are deeply committed to your personal and professional growth, and as such, we allocate an annual budget for learning and development.
We offer regular subsidized team lunches and Urban Sports Club membership.
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