Data Engineer managing large datasets for AI models at Walaris. Collaborate with engineers and ensure data quality and processing pipelines.
About the role
- Data Engineer developing cloud migration and data solutions for retail at Public Group. Engage in multiple projects and create growth opportunities in a hybrid team environment.
Responsibilities
- Be part of the team that will migrate on-premises data systems to cloud solutions, ensuring data integrity and minimal downtime.
- Design, develop, and optimize data pipelines for **Bronze, Silver, and Gold layers** within the Microsoft Fabric ecosystem.
- Monitor and troubleshoot cloud infrastructure performance, ensuring scalability and efficiency.
- Collaborate with the team to implement best practices for **data governance**, **security**, and **compliance** in the cloud.
- Document workflows, architecture, and key processes to support team operations and future scalability.
- Stay abreast of the latest data engineering technologies and trends, particularly within the Microsoft Azure ecosystem, and identify opportunities to leverage new tools and techniques.
- Manage and modernize existing on-premise data solutions (e.g., SQL Server, SSIS, SSAS) while supporting migration initiatives to cloud platforms.
- Optimize data storage, retrieval, and transformation processes across hybrid environments.
- Ensure data availability, consistency, and synchronization between on-premise systems and cloud-based services.
- Support and enhance hybrid data workflows and design patterns (e.g., staged migration, dual-write strategies).
Requirements
- 2+ years of working experience in ETL pipeline design and implementation using tools like Airflow, SSIS, and Python (including PySpark).
- Strong proficiency in SQL for data manipulation, transformation, and performance tuning.
- Εxperience with Microsoft Data Solutions, including Azure Synapse, Data Lake, Power BI and Microsoft Fabric.
- Strong understanding of data warehousing principles and best practices, with experience in implementing dimensional models and star schemas.
- Strong understanding of data governance frameworks and data privacy regulations.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Ability to prioritize tasks in a fast-paced, dynamic environment.
Benefits
- 💼 **Competitive compensation & benefits package**
- 💰** Performance-based bonus scheme**
- 🧑⚕️ **Comprehensive life & health insurance**
- 🏡 **Flexible hybrid working model** – to support your work-life balance
- 🧡 **Psychological support** via a professional helpline for you and your family
- 🚀 **Career growth opportunities** in a role that evolves with you
- 🎉** Valuable experience** in a well-known and fast-growing organization
- 📚 **Continuous learning** and upskilling through tailored programs
- 🏃🏽♂️ **Employee Wellness Program** – office Pilates & sports teams (football, volleyball & more)
- 🚗 **Alternative transportation** with company shuttle buses to our offices
- 📲 **Exclusive access to our employee app**, OrangeGen, packed with tools, news & perks**
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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