Your mission

• Build and maintain our data stack that fuels insight generation for our customers
• Connect to and ingest data from several customer ERP systems to feed our data models
• Setup data pipelines to acquire, cleanse, validate, and transform data
• Evaluate 3rd party data sources to augment customer data and increase business value
• Interpret the results of your analysis and setup continuous monitoring to track value creation on customer side
• Explore and choose tools for internal BI to enable data-driven decisions for sales and product development
• Write clean and maintainable code with sensible testing so that you would enjoy taking over from a colleague
• Do 1:1s, review code, leave the codebase better than you found it, and help everyone in the team to become better
• Proactively communicate, document, and share your approach, progress, results, and challenges
• Spread an engineering culture of quality, innovation, and ambition across the organization

Your profile

How you can contributeAs one of the first team members in engineering, you will shape our design decisions and address some of the most difficult technical challenges to build cutting-edge software. This is a high impact role where you will be part of the core team, shape the product, and help us to deliver value to our customers.Let's talk about you!Now you may wonder what experience and skills you need to bring to the table for the role. We believe that problem solving, creativity, and drive are more important than anything else that can be picked up. However, the following references will give a guideline of what might be helpful.

• You are familiar with different data storages and data warehouses, e.g. S3, Azure Blob Storage, AWS Redshift, Google Big Query, Snowflake, etc.
• You can orchestrate tasks with Airflow, Prefect or other tools
• You can build data pipelines, ingest data from different sources and know how to connect to 3rd party systems, e.g. through Airbyte
• You are familiar with handling and exploring data sets using languages like SQL and Python with respective packages like PyArrow, duckdb, numpy, pandas, etc.
• You know your way around data modeling, common data schemas, e.g. Star or Snowflake schema, and are familiar with fundamentals of databases
• You have worked with and have setup a BI tool, e.g. Tableau, PowerBI, Metabase, and the likes

We know that perfect candidates don’t exist and thus don't have specific "minimum qualifications". We’d love to learn more about you and care about your motivation and drive to shape the industrial future with us.