DCV Technologies is currently seeking experienced Data Engineering and Data Modelling professionals for three distinct contract opportunities. These roles focus on cloud data platforms, modern data infrastructure, and large-scale system modernization projects.
Key responsibilities
- Designing and maintaining robust ETL/ELT pipelines for large-scale data processing.
- Managing production data infrastructure, including upgrades, performance tuning, and reliability.
- Executing legacy-to-cloud data migrations and system integrations.
- Implementing data quality monitoring, validation controls, and analytical data modelling standards.
- Collaborating on target-state data architecture and CI/CD process improvements.
Requirements
- Proven experience in Data Engineering or Data Modelling, ideally within cloud environments like GCP, AWS, or Azure.
- Strong proficiency in SQL, Python, and Scala, alongside experience with tools such as dbt Core, Spark, and Airflow.
- Hands-on expertise with BigQuery and Kubernetes-based infrastructure.
- Solid understanding of data quality concepts and enterprise-level modelling practices.
- Ability to work effectively in a remote, contract-based environment.
What we offer
- Opportunity to work on high-impact cloud modernization and data infrastructure projects.
- Fully remote work environment allowing for professional flexibility.
- Engagement in challenging, large-scale data initiatives within a professional team.