Senior Software Engineer - Fullstack

AI overview

Work on AI-native data tooling by solving key platform challenges, contributing to open source, and mentoring teammates in a fast-paced, autonomous environment.

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.

🚀 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
  • Experience in designing scalable systems
  • Strong programming skills: clean design, typing, testing, and maintainable code
  • Experience with Python, Typescript, React; experience with next.js is a plus
  • Experience working with modern Python data tools (e.g. DuckDB, Arrow, Iceberg, delta-rs, vector stores, storage buckets)
  • Good SQL knowledge and understanding of databases, transactions, and concurrency.
  • 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 tooling
  • Data/analytics 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.

Perks & Benefits Extracted with AI

  • Flexible Work Hours: We are an office-first company but give you plenty of opportunities for deep work and work from home.
  • Free Meals & Snacks: We offer regular subsidized team lunches.
  • Learning Budget: we allocate an annual budget for learning and development.
  • Urban Sports Club membership: Urban Sports Club membership.

The number of Python users increases by millions every year. The vast majority of these people use Python as a tool to solve problems at work. Our mission is to make Python practitioners autonomous when they create and use datasets in their organizations.For this end, we are building data load tool (dlt), an open source Python library, for them. They use dlt in their Python scripts to turn messy, unstructured data into regularly updated datasets. It enables them to create highly scalable, easy-to-maintain, straightforward-to-deploy data pipelines without having to wait for help from a data engineer.We are dedicated to keeping dlt an open source project surrounded by a vibrant, engaged community. To make this sustainable, dltHub stewards dlt while also offering additional software and services that generate revenue (e.g. like GitHub does with Git).dltHub is based in Berlin and New York City. It was founded by machine learning and data veterans. We are backed by Dig Ventures and many technical founders from companies such as Huggingface, Rasa, Instana, Miro, and Matillion.

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