Working Student - dltHub Education

About dlthub

dltHub is built on dlt , the most widely adopted open-source Python library for data loading with ~4 Million monthly downloads . We are building the next generation of AI-native data tooling on top of our strong OSS foundation.

We move and iterate fast, and ship with a strong bias toward experimentation, automation and user-centric AI workflows. We’re a highly dynamic, fast-moving team founded by experienced data and ML engineers, with roots in Berlin and a growing presence in the US.

Founded by experienced data and ML engineers, we're backed by Bessemer Venture Partners , Foundation Capital , Dig Ventures , and technical founders from Hugging Face , Instanta , Matillion , Miro , MotherDuck , DataDog , Mode , LanceDB 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.

As a Working Student in the Go-To-Market team at dltHub, your primary mission is to support user acquisition by helping demonstrate, explain, and communicate the value of dlt to data scientists. You will contribute to educational and technical content that shows how dlt fits into real-world data workflows, helping users understand not just what dlt does, but why it matters.

This role is ideal for someone early in their career who enjoys working at the intersection of technology, education, and communication. You will operate in a fast-moving startup environment, collaborate closely with Product, Design, Engineering, and GTM, and learn how developer-focused products are grown and adopted.

🗂️ Key Responsibilities

• Support the Go-To-Market team with activities focused on demonstrating, educating, and communicating the value of dlt to drive user acquisition.
• Create technical tutorials, demos, and educational content that show how data scientists can use dlt in real-world workflows.
• Contribute to educational curricula, guides, and walkthroughs for new and existing users.
• Support partner communication and help organize educational events, workshops, or community initiatives.
• Collaborate with Product, Design, and Engineering to share user feedback and improve dlt for data scientists.
• Take initiative on well-scoped tasks, learn new tools and technologies, and operate effectively in ambiguous environments.

Requirements

What We’re Looking For

✅ Qualifications

• Previous experience as an intern, working student, or similar in a quantitative or technical role.
• Proficiency in Python and comfort working with technical concepts.
• Strong curiosity and willingness to learn new technologies and tools.
• Ability to take initiative, manage tasks effectively, and work with minimal supervision.
• Good presentation and communication skills, with interest in engaging both technical and non-technical audiences.
• Based in Berlin and willing to work from the office regularly (3-4 days/Week)
  

🎯 Nice to Have

• Experience with SQL.
• Experience creating or recording technical content (videos, tutorials, notebooks, blogs).
• Familiarity with APIs, data warehouses, or databases.

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.

• 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 mostly work from the Berlin office, we cover your public transportation ticket.
• 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.
• Urban Sports Club membership.
• For roles that contribute directly to shaping our product and company, we offer an ESOP plan, tailored to each employee’s role and level of commitment.