JOBILY AI SUMMARY
What you'll do
- Design and implement PaaS solutions using public and hybrid cloud platforms
- Design and build data analytics solutions on cloud and on-premise environments
- Develop data pipelines, APIs, and ETLs using Python, SQL, PySpark, or SSIS with Azure or AWS methods
- Work with large relational databases and big data platforms for data management development and optimization
- Build large-scale batch and real-time data pipelines on AWS or Azure cloud platforms
- Collaborate with teams to produce high-quality outputs and deliver superior client experiences
- Apply data-driven approaches to understand fast-changing business needs
- Communicate key messages clearly and confidently to clients
- Solve problems with a global and diverse perspective
- Work independently within distributed and multi-functional international teams
- Cooperate effectively with inter-functional and international colleagues
Key requirements
- 0+ years' experience
- Knowledge of Data Warehouse and Big Data principles and technologies
- Strong skills in SQL, Stored Procedures, and ETL flows
- Experience with Python programming
- Familiarity with CI/CD practices
- Experience with Azure Data Factory, Databricks, Airflow, SSIS, SSAS, Git, Jira, and Oracle Data Integrator
- Ability to communicate effectively in English
- computer science / software engineering / information technology / mathematics / physics / statisticspreferred
Benefits
- Modern hybrid workplace with flexibility and Smart Working.
- Empowered well-being programs including flexible arrangements, extra leave, parental allowances.
- Opportunities for international engagement, learning, and personal growth.
About the job
Our Data Engineering Team as part of our Engineering, AI & Data service line in Thessaloniki operates in diverse teams, has a detail-oriented mindset and analytical thinking skills, understands and interpret business requirements and transform them into actionable data processes. In your role in…


