Data Engineer

This is a hands-on engineering role with real ownership: you'll manage deployments end-to-end, contribute to CI/CD pipelines and help shape how the platform evolves.

Position Overview

We are growing our Data Team and looking for a Data Engineer with a Platform Focus to own and operate core infrastructure components of our internal Data Platform. You'll work independently on containerized services, open-source query engines, and observability stacks — contributing directly to the reliability and scalability of the platform that powers our data products.

Key Responsibilities

• Collaborate with Data Engineers to support and help shape data engineering standards, covering areas like pipeline design, data quality and lineage.
• Contribute to data governance practices by ensuring platform components align with ownership, access and observability requirements.
• Own deployments for assigned platform components and maintain version-controlled infrastructure modules.
• Design, deploy, and operate containerized services using Docker and Kubernetes.
• Manage and tune open-source query engine deployments for reliability and performance.
• Build and maintain monitoring, logging, and alerting stacks for platform services.
• Contribute to CI/CD pipelines for platform service delivery and infrastructure automation.
• Evaluate and integrate open-source data file format libraries, document architecture decisions for owned components and investigate and resolve platform incidents.

Required Hard Skills

• A university degree, ideally in Computer Science or related science, technology or engineering field.
• 2+ years of relevant work experience in data engineering or data platform engineering roles.
• Working knowledge of data engineering concepts - data acquisition, modeling, orchestration, warehousing, laking, data quality, lineage and governance.
• Strong knowledge of Python and SQL.
• Understanding of open-source query engine architecture and configuration.
• Practical knowledge of columnar data formats - internals and trade-offs.
• Proficiency in Docker.
• Understanding of CI/CD pipelines for infrastructure and service delivery.
• Awareness of microservice design patterns.

Good to Have

• Experience with on-prem infrastructure.
• Experience with observability tooling.
• Working knowledge of Kubernetes.
• Experience in C++ / Rust.