Senior Software Engineer (Python Backend / Data Engineering)

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.
• 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,