Data Engineer

At Kantox we are looking for a Data Engineer to join our Data team to design, improve and enhance our current data architecture. Kantox is a growing organisation with growing data needs, therefore scalable, reliable and efficient data architecture and orchestration of data pipelines are fundamental for our business. 🚀

This is an exciting full-time job with great challenges, as you will help build and automate our streaming data architecture and help us grow our Data team. You will be joining a vibrant and passionate group of software engineers that hail from all parts of the world. 🌏

The Kantox Engineering Manifesto

Kantox is a team sport. Our engineering culture is devoid of egos yet we take great pride in our work. We believe in constructively challenging each other pushing our knowledge, code, processes to the absolute limit.

Our processes are based around continual self improvement, continuous code integration and deployment.

About the team

You will collaborate closely with product, business intelligence, and cloud engineering teams to develop and manage data products across multiple domains. Your efforts will ensure the delivery of data that supports internal decision-making and provides clients with scalable and reliable visibility.

Your future role at Kantox

As a Middle Data Engineer, you’ll play a key role in building and optimising data transformations and pipelines within our modern data platform. You’ll contribute to the development of high-quality, performant, and reliable data models — with a strong focus on SQL, dbt and data quality — and collaborate closely with other engineers and stakeholders to deliver impactful data products.
You’ll work in a modern Lakehouse/Data Mesh environment powered by AWS, Apache Iceberg, dbt, Trino, Kafka, Dagster, and other cutting-edge technologies.
This is a great opportunity to grow your career while working on challenging, high-impact data problems in a collaborative and forward-thinking team.

What you will do

• Build and maintain high-performance, tested and well-documented dbt models, following best practices.
• Write efficient, maintainable, and scalable SQL transformations across different layers of the data stack.
• Collaborate with analytics and domain teams to translate data needs into well-modeled, trusted datasets.
• Help monitor and improve the quality, reliability, and performance of data pipelines.
• Integrate new data sources into the platform through ingestion pipelines (batch or streaming).
• Implement data tests, CI/CD validations and participate in peer reviews to ensure code quality.
• Contribute to data product development within a Data Mesh architecture.
• Participate in agile rituals and collaborate with cross-functional teams.

Who you are

• 2+ years of experience in Data Engineering or a similar role.
• Strong experience with SQL and dbt, and a passion for clean, efficient code.
• Solid understanding of data modeling principles (dimensional, star schema, SCDs…).
• Experience working with big data tools like Trino, Spark, or similar query engines.
• Familiarity with batch and/or streaming pipelines, e.g. Kafka or RabbitMQ.
• Experience writing data tests and following version control workflows (e.g., Git).
• Mid-level proficiency in Python (used for scripting, testing, or orchestration logic).
• Familiarity with data quality tools like dbt tests, Great Expectations, or Soda is a plus.
• Exposure to orchestration tools like Dagster, Airflow, or Prefect is a plus.
• Comfortable working in a collaborative and agile environment, using tools like Jira, GitHub and Slack.
• Curious, pragmatic, and always looking to learn and improve.
• Fluent in English.
• Permission to work within the EU is a plus.

 Bonus points (not required)

• Familiarity with Apache Iceberg or other Lakehouse formats (Delta, Hudi).
• Experience with Trino, or other distributed SQL engines.
• Exposure to Data Mesh or Data Contracts concepts.
• Experience working with AWS services like S3.
• Understanding of GitOps workflows, CI/CD pipelines, or infrastructure as code is a plus.

This list outlines qualifications and attributes that are indicative of success at Kantox; however, it is not exhaustive, and candidates are not expected to possess every item listed.