Data Solution Engineer

Who We Are:

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.

Requirements

Your Task and Responsibilities:

• Supporting partners in creating pipeline solutions with dlt.
• Developing templates, packages and materials to support dlt deployments with freelancers and agencies.
• Creating business case solutions on the dlt pipeline data.
• Analyzing customer needs and determining the best technical solutions to meet those needs.
• Designing and implementing system architectures and configurations to meet customer requirements.
• Developing system documentation and training materials.
• Developing and executing test plans to ensure system performance and reliability.
• Troubleshooting system issues and providing technical support.
• Collaborating with sales, marketing, and product development teams to develop new solutions.

Who You Are:

• You have at least 4 years of experience in a data engineering or related role.
• You have demonstrated knowledge of system architectures, operating systems, and networking.
• You have experience working with customer requirements and developing solutions accordingly.
• You have strong problem-solving and analytical skills.
• You have a working knowledge of python and data landscape solutions.
• You have the ability to take the initiative and manage multiple projects simultaneously.

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 work from the office and at home. We have a great headquarters in Berlin. It’s crucial for us to meet regularly in the office at this stage where we build the product.
• The team’s well-being is fundamental to us. Therefore we offer benefits like regular team lunches, Urban Sports Club membership, and subsidized local transportation. We also have deep work/no-meeting days.
• We want everyone on the team to grow with the company. We offer an annual budget for learning and personal development. If you have an open source project or maintain something on GitHub, you can get an hourly budget for that within working hours.
• Depending on your role and dedication, we also have an ESOP plan for employees. In addition, we provide an option to increase your ESOP if you grow with us.