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Data Engineer

●

1 week ago

Greece, Attiki, Athens
Full Time
Mid-Level
Hybrid

Basic Information

We are seeking a versatile and proactive Data Engineer to join our data engineering team. This blended role combines cloud migration expertise, Python-based data product development, and a strong focus on retail pricing analytics. You will play a critical role in ensuring a seamless migration of our on-premises systems to the cloud while building reusable, scalable data solutions to support pricing strategies and decision-making. 

Responsibilities

Responsibilities:
Cloud Migration and Architecture (Microsoft Fabric) 
  • 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. 
On-Premise and Cloud Data Engineering
  • 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

Data Infrastructure
SQL
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

Flexi work schedule
What we offer:

  • 💼 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
About the company

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About the company

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Data Science
Engineering
Data Engineer