Data Engineer
Want to work in a team of scientists building pipelines that make use of the latest GPTs? Join us! 🔥
Klaus 😻
Klaus is a quality management solution that helps companies drive revenue by identifying gaps in customer experience – using AI, automation, and data analysis.
Support teams in companies such as Wise, Pipedrive, Epic Games, and SoundCloud use Klaus to review & impurrrove their customer service quality.
Our quickly expanding, international team has embraced the remote-first mindset from day one. We're looking to expand our Machine Learning and Data team in the office in Tallinn, Estonia or remotely from anywhere between UTC-1 and UTC+4.
Our Stack 📚
- Python
- Pandas, spaCy, TensorFlow, PyTorch etc.
- Google Cloud Platform
- Apache Beam / Google Cloud Dataflow, Apache Airflow / Google Cloud Composer
- PostgreSQL, Google Cloud Spanner, BigQuery, Google Cloud Pub/Sub
- Google Data Studio
What to expect? 🧐
- High level of independence and trust, you decide how the implementation is done
- Keeping track of your own tasks and nudging others whenever something looks stuck
- Building and evaluating tooling for data processing and other machine learning needs
- Working together with the data scientists to implement research models in production and developing solutions for preprocessing of structured and unstructured data in data pipelines
- Developing scalable methodologies for running and monitoring machine-learning models in production
Okay! But what are the expectations? 😎
- At least 6 years of experience in software development or data engineering and an interest in machine learning
- Proven track record as a solid software engineer with a focus on Python-based software development
- Strong understanding of SQL and database technologies
- Comfortable working independently, in English and in a remote setting
- It's a huge plus if you have experience with cloud-native technologies like Apache Beam, Apache Spark, Airflow, Kafka
- It's a huge plus if you have experience with Google Cloud Platform or Amazon Web Services
Still doubting? Here are a few more reasons why to join! 🎉
- Work in an exciting, rapidly-growing startup environment
- Remote-first culture – work from anywhere with colleagues from 17 different countries
- Base pay + meaningful stock option package
- Supported learning and development
- Mental health support
- Home office setup reimbursement
- Lots of cat gifs and the best colleagues

- Department
- Engineering
- Role
- Machine Learning Engineer
- Remote status
- Fully Remote
About Klaus
Support is an integral part of any business. Klaus provides the tools necessary to level up support quality across organizations.
Data Engineer
Want to work in a team of scientists building pipelines that make use of the latest GPTs? Join us! 🔥
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