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About this Technical Copywriter (Freelancer) role at dltHub

dltHub · Onsite · Mitte, Berlin, Germany

We’re looking for a freelance technical copywriter with a strong technical background and experience writing about data engineering and AI in data workflows. You’ll write and proofread our blog posts and marketing copy for both technical and business decision-makers, explaining complex topics in a way that’s accurate for engineers and clear for leaders evaluating data solutions.

If this sounds like you, we’d love to see technical content you’ve written. Please include your availability and hourly rate with your application.

What you’ll do

  • Write and proofread technical blog posts, tutorials, and articles on data engineering and AI in data workflows
  • Write and proofread marketing copy for launches, landing pages, newsletters, social media, and campaigns
  • Edit and proofread content written by our engineers so it stays accurate and reads well
  • Work with engineers, product, and marketing on content planning, reviews, and timelines

Requirements

  • A strong technical background and published writing on data engineering, data infrastructure, or AI in data workflows
  • Proven experience writing and proofreading technical blog posts
  • Experience writing marketing copy on technical topics for developers, technical and business decision-makers in the data space
  • Experience coordinating content or marketing work with several stakeholders
  • Excellent written English
  • Availability of 20-30 hours per week, spread over at least three days
Ready to apply to dltHub?
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About dltHub

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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