EY Greece is hiring an experienced Data Engineer to join the AI & Data team within Technology Consulting. The role is based in Heraklion, Greece, with a hybrid working arrangement across EY offices in Athens, Patras, Thessaloniki and Crete. You will develop scalable data pipelines to support batch and streaming workloads in cloud-native environments, build data transformations using Python and SQL with frameworks such as Spark, and collaborate with data architects and analysts to translate business needs into production-grade pipelines. You will contribute to data platform modernization, ensure robustness and maintainability of the data engineering codebase, and participate in client workshops, testing, deployment, and monitoring in production. Requirements include a BSc or MSc in Computer Science, Mathematics, Engineering or related quantitative field and at least 2 years of relevant experience, familiarity with Data Warehouse/Data Lake/Lakehouse concepts, experience with SQL and Spark, and experience with ETL/pipeline tools (Azure Data Factory, Databricks, Airflow, dbt, Informatica Cloud Data Integration). Knowledge of Snowflake, Azure, AWS and Kafka is a plus. EY offers professional development opportunities, access to GenAI tools, flexible working arrangements, and a diverse, inclusive culture.

EY Greece is hiring an experienced Data Engineer to join the AI & Data team within Technology Consulting. The role is based in Heraklion, Greece, with a hybrid working arrangement across EY offices in Athens, Patras, Thessaloniki and Crete. You will develop scalable data pipelines to support batch and streaming workloads in cloud-native environments, build data transformations using Python and SQL with frameworks such as Spark, and collaborate with data architects and analysts to translate business needs into production-grade pipelines. You will contribute to data platform modernization, ensure robustness and maintainability of the data engineering codebase, and participate in client workshops, testing, deployment, and monitoring in production. Requirements include a BSc or MSc in Computer Science, Mathematics, Engineering or related quantitative field and at least 2 years of relevant experience, familiarity with Data Warehouse/Data Lake/Lakehouse concepts, experience with SQL and Spark, and experience with ETL/pipeline tools (Azure Data Factory, Databricks, Airflow, dbt, Informatica Cloud Data Integration). Knowledge of Snowflake, Azure, AWS and Kafka is a plus. EY offers professional development opportunities, access to GenAI tools, flexible working arrangements, and a diverse, inclusive culture.