JOBILY AI SUMMARY
What you'll do
- Develop scalable data pipelines for batch and streaming data in cloud-native environments
- Build data transformations and integrations using Python, SQL, and Spark
- Collaborate with data architects and analysts to translate business needs into technical specifications and production-grade pipelines
- Apply best practices in data modeling, version control, code quality, and modular pipeline development
- Contribute to modernization of data platforms ensuring robustness and maintainability
- Participate in client workshops and contribute to solution design discussions
- Support testing, deployment, and monitoring of data solutions in production
Key requirements
- 2+ years' experience
- Data Management Concepts and methodologies
- Data Warehouse, Data Lake, Lakehouse, Delta familiarity
- Complex data querying with SQL and Spark
- ETL/Pipelines design and development with Azure Data Factory, Databricks, Airflow, dbt, or Informatica Cloud Data Integration
- Cloud Data Platforms experience including Snowflake, Azure, AWS
- Streaming solutions knowledge such as Kafka
- Computer Science / Mathematics / Engineering / Quantitative Fieldspreferred
Benefits
- Develop your professional growth with unlimited access to educational platforms, personalized coaching, and exposure to international projects.
- Enjoy competitive rewards including health insurance, flexible working arrangements, and an inclusive culture promoting diversity and sustainability.
About the job
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Being part of EY in Greece means being part of a continuously growing team, which has been announced as Top Employer…



