Senior Data Engineer, Kantox

• You have solid experience in Data Engineering and a genuine passion for clean, efficient code. You are comfortable working across the full data stack, from ingestion to modelling to quality assurance, and you thrive in a collaborative, agile environment
• You are not looking for a team to tell you what to build. You bring opinions, you own outcomes, and you raise the bar around you
• 6+ years of experience in Data Engineering, with a track record of owning production pipelines end-to-end
• Strong expertise with SQL and dbt
• Solid understanding of data modelling principles including dimensional modelling, star schema, and SCDs
• Experience with big data tools such as Trino, Spark, or similar query engines
• Familiarity with batch and streaming pipelines, for example Kafka or RabbitMQ
• Experience writing data tests and following version control workflows such as Git
• High-level proficiency in Python for scripting, testing, or orchestration logic
• Experience operating in regulated or compliance-sensitive environments (financial services a strong plus)
• Familiarity with Apache Iceberg or other Lakehouse formats such as Delta or Hudi
• Experience with Trino or other distributed SQL engines
• Hands-on experience with an asset-based orchestrator (Dagster preferred)
• Fluent in English
• EU work authorisation is a plus

Desirable

• You will work in a modern Lakehouse and Data Mesh environment powered by AWS, Apache Iceberg, dbt, Trino, Kafka, and Dagster, collaborating closely with product, business intelligence, and cloud engineering teams to deliver data products that support both internal decision-making and client-facing visibility
• Taking full ownership of the dbt modelling layer, from design and testing to documentation and performance across staging and mart tiers
• Architecting and managing Dagster asset pipelines to handle both batch and streaming workloads
• Defining high standards for SQL transformations and data modelling while empowering domain teams to achieve the same
• Monitoring and improving the quality, reliability, and performance of data pipelines
• Integrating new data sources into the platform through ingestion pipelines, both batch and streaming
• Implementing data tests, CI/CD validations, and participating in peer reviews to ensure code quality
• Contributing to data product development within a Data Mesh architecture
• Participating in agile rituals and collaborating with cross-functional teams
• You will be based in our Barcelona office, working within a collaborative and forward-thinking Data team that spans product, business intelligence, and cloud engineering.
• We work hybrid with flexible hours. Our engineering culture is built on continuous integration, continuous deployment, and continual self-improvement. We do not value egos. We value clean code, good thinking, and engineers who make the people around them better