Cloud Data Engineer- Fully Remote

As a Senior Cloud & ( Data) Engineer , you thrive in architecting, building, and automating cloud-native infrastructure that supports scalable, production-grade data and AI solutions. You bring a wealth of experience in designing and implementing CI/CD pipelines, comprehensive test suites, and Infrastructure-as-Code using best-in-class cloud-native approaches.

Your sharp attention to detail is matched by a deep understanding of how to leverage DevOps principles, with a focus on balancing technology with business value. You are a natural leader, passionate about mentoring colleagues and advocating for DevOps and best engineering practices with clients to ensure the delivery of top-tier solutions.
At Dataroots , our mission is to innovate, design, and deliver robust data solutions and platforms for a variety of sectors. Our growing team operates out of Leuven and Ghent, where our dedicated in-house data & AI specialists apply state-of-the-art methodologies to optimize and transform our clients' business processes. Our strong emphasis on DataOps and MLOps means we build solutions that are not only intelligent but also production-ready, offering clients a solid foundation to make data-driven decisions with confidence.

Dataroots was founded in 2016 and, since its beginnings, has focused on helping its customers achieve excellence in their data-driven operations. The only way to do this sustainably is by investing in team well-being, diversity, knowledge sharing and customer experience. This quality-first focus has allowed sustained and healthy growth over the years. Join a team where you can have an impact on our growth story. You bring advanced software engineering expertise , with deep experience in Git, Python, SQL, and Docker
You demonstrate extensive cloud engineering proficiency , utilizing Terraform to create robust, scalable, and maintainable cloud infrastructure.
You have significant experience orchestrating containerized applications using Kubernetes and Helm, ensuring high availability and efficient scaling.
You have implemented secure, private networking solutions in complex cloud environments, ensuring adherence to best security practices.
You possess a solid understanding of at least one modern data platform , such as Databricks, Snowflake, Azure Data Services, or AWS Data Services.
You lead the design and architecture of sophisticated data platform components , driving end-to-end solutions that align with client needs
You have extensive experience applying Spark to deliver effective data engineering solutions.
You skillfully design and build both batch and streaming ELT data pipelines, leveraging orchestration tools such as Airflow, Prefect, or Dagster.
You have set up comprehensive data quality frameworks and managed metadata implementation to ensure reliability and traceability of data.

A training budget for individual and team learning opportunities.
Tons of team-building events and sports initiatives to stay connected and unwind.

These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events. While much of your work can be performed remotely, you will also work on-site with clients.
Excited to shape the future of Cloud as a Cloud & ( Data) Engineer with us?