dltHub Tech Stack

Open-source Python library for building data pipelines without engineering overhead

Software Development Berlin 11–50 employees Founded 2022 Privately Held

dltHub stewards dlt, an open-source Python library that lets non-engineers build and maintain data pipelines. The stack reflects a modern data platform orientation—Python, dbt, Snowflake, Databricks, DuckDB—paired with orchestration tools (Airflow, Dagster). The project list reveals a company balancing open-source community health (core feature development, educational content) with commercial scaling (customer implementations, platform onboarding, sales enablement), a pattern typical of foundations-backed OSS companies. Active hiring is sparse (6 roles, steady pace) and concentrated in engineering, signaling resource-constrained growth.

Tech Stack 15 technologies

Core StackPython Iceberg dbt Snowflake Databricks PostgreSQL SQL Server Oracle Apache Airflow Dagster dlt DuckDB Excel Google Sheets

What dltHub Is Building

◆Challenges

User acquisition
Ingestion challenges
Performance challenges
Automating repetitive work

▲Active Projects

Implementing dlt oss in customer systems
Onboarding and support for dlthub platform
Building demos for sales process
Educational content creation
Educational events organization
Ai-native data tooling platform
Open-source core feature development
Esop rollout
Comp reviews
Policy updates

Hiring Activity

Steady6 roles · 2 in 30d

Department

Engineering

Marketing

Ops

Seniority

Junior

Manager

Mid

Senior

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About dltHub

dltHub develops and maintains dlt, a Python data-loading library designed for non-specialists to create production-grade data pipelines. The company operates a dual-revenue model: the open-source dlt project (free) and a commercial platform (dltHub) offering additional services and managed hosting. Founded in 2022 by data veterans, dltHub is based in Berlin with a presence in New York City. The product targets Python users across mid-market organizations who need to automate data workflows but lack dedicated data engineering teams. Core capabilities span data ingestion (supporting multiple sources), transformation (via dbt integration), and deployment to targets like Snowflake, Databricks, and DuckDB.

HeadquartersBerlin

Company Size11–50 employees

Founded2022

Hiring MarketsGermany

Frequently Asked Questions

What tech stack does dltHub use?

dltHub's stack centers on Python, dlt (its own library), dbt, and data warehouses (Snowflake, Databricks, DuckDB, PostgreSQL). Orchestration relies on Apache Airflow and Dagster. The company also integrates with Excel and Google Sheets for data sources.

What is dltHub working on?

Key projects include open-source core feature development, customer implementations and onboarding, educational content and events, demos for sales, and an AI-native data tooling platform. Leadership is also managing ESOP rollout and organizational policy updates.