Cloud Data Engineer in Athens or Thessaloniki
Core
Design, build, and deploy modern cloud-native data platforms and scalable data pipelines to enable advanced analytics and AI for enterprise clients.
Role type
Junior to Mid-level Cloud Data Engineer
Builds
Scalable data pipelines, data applications, and cloud data foundations
Domain
Cloud Data Engineering, Data Warehousing, AI/Analytics
Deliverable
production ML models
Required skills
SQL, Python, PySpark, Cloud platforms (Azure, AWS, GCP), Data warehousing concepts, ETL tools (Azure Data Factory, dbt), Data visualization tools (Power BI, Tableau)
Preferred skills
DevOps practices, Data governance, Cross-functional collaboration
Technologies
Azure, AWS, GCP, Databricks, MS Fabric, Azure Synapse Analytics, Azure DataLake, AWS S3, Google GCP, Power BI, Tableau, Azure Data Factory, dbt
Responsibilities
Develop data applications and solutions; Build and optimize scalable data pipelines and workflows; Support data architects in defining data models and architecture; Maintain data quality and governance standards; Participate in process improvements and apply DevOps practices
Seniority
Junior to Mid-level, moderate supervision
