About Dlthub
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.
🚀 About the Role**
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.
🗂️ Key Responsibilities
Own features end-to-end: design, planning, implementation, tests, documentation, maintenance and improvements
Shape architecture and technical direction through code and design discussions
Contribute to a culture of engineering excellence by maintaining high standards for code quality, observability, scalability and security
Work with our solution engineering team and customers to turn user problems into clean, maintainable solutions
Design and implement solutions that integrate with modern data stacks: warehouses, lakes, object storage, and analytics engines
Mentor teammates and Open Source contributors, raising the bar for engineering quality
Contribute to our Open-Source Core by building features and engaging with the community e.g. via PR reviews or collaboration
Sustain a culture of experimentation by keeping up with developments in the Python ecosystem, AI-assisted development workflows, and evolving data architectures and technologies
Requirements
What We're Looking For
✅ Qualifications
7+ years of experience in software development and/or data engineering
Experience in designing scalable systems
Strong Python skills: clean design, typing, testing, and maintainable code
Solid understanding of data engineering fundamentals: data ware-/lakehouses, object storage, data ingestion and transformation patterns
Good SQL knowledge and understanding of databases, transactions, and concurrency
Experience working with modern Python data tools (e.g. DuckDB, Arrow, Iceberg, delta-rs, vector stores, storage buckets)
Clear written and verbal communication skills
Team-first mindset and high degree of autonomy and ownership
Passion and curiosity for AI-assisted software development workflows
Based in Berlin and open to working onsite regularly (3-4 days per week)
🎯 Nice to Have
Experience building developer-facing APIs, SDKs, or tooling
Data Platform/Platform engineering experience (e.g. Docker, GitHub Actions, Kubernetes, AWS/GCP) or frontend engineering experience
Hands-on experience with data platforms like Snowflake, BigQuery, Databricks, or Iceberg
Contributions to open-source projects
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