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Working Student - Data Engineer (m/f/d)
Next Level Coffee GmbHUKRemotepart_timeVerifiedPosted 5 Feb 2025
About the role
Join Next Level Coffee, the trailblazers behind nunc., our cutting-edge IoT coffee ecosystem. We're on a mission to revolutionize home coffee experiences with our premium products—coffee machine, grinder, app, and more. Launching in 2025, nunc. combines innovation and convenience for coffee lovers everywhere. With strong financial backing and a dynamic team, we're poised for rapid growth. Ready to transform the way the world enjoys coffee? Join us!You support our Data Engineering team in building, maintaining, and optimizing our IoT data pipeline for next-generation espresso machines. As a working student, you will gain hands-on experience with cutting-edge tools like Databricks and Delta Lake while contributing to impactful projects in the coffee tech industry:
- Developing, testing, and deploying data pipelines on Databricks.
- Optimizing Delta Lake performance and implementing data transformations.
- Assisting with real-time and batch data ingestion from IoT devices.
- Collaborating with data scientists and engineers to ensure data quality and reliability.
- Documenting workflows and supporting team members with technical troubleshooting.
- You developed and deployed at least one data pipeline that processes IoT data for espresso machines.
- You are proficient in using Databricks and Delta Lake, including implementing performance optimizations.
- You enhanced the reliability of our IoT data pipeline by identifying and resolving data inconsistencies.
- You contributed to team projects and gained a strong understanding of IoT data flows in the coffee tech space.
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- You have initial experience with Databricks, Delta Lake, or similar big data tools.
- Knowledge of Python and SQL is required; experience with Spark is a plus.
- Strong analytical thinking and the ability to work independently on technical tasks.
- Fluent in English.
- We want to do great stuff with a great team – this only works with a #nofilter and #nobullshitattitude.
- Huge opportunity to join early stage and build a company – you work on our common vision, product and values!
- You are best in class – and are enabled to make best in class decisions.
- We love working visually and with the end result in mind, then get there by building fast and learning fast.
- We love humans, we love coffee and working with the coffee community, from farm to cup.
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