About Us

We are Up. We design and deliver digital-first employee benefits that transform the workplace experience.

We believe that happy and healthy employees work better and smarter. Our solutions help you achieve this by improving productivity and reducing costs, while consistently delivering an exceptional user experience.

Each offering is shaped around two core principles: simplicity and fun. After all, the best solutions are easy to implement, hassle-free, and enjoyable for everyone involved!

Today, we empower tens of thousands of leading companies across Greece to engage and retain their people. We continuously refine the Up experience based on insights from our users, always looking ahead to the future of work.

We have earned a 96% trust index in the Great Place to Work survey!

Up Hellas is a wholly owned subsidiary of Up Group, present in 34 countries worldwide.

www.uphellas.gr

www.up-group.coop

We are seeking a talented and results-driven Data Engineer to join our team.

The ideal candidate should have 1+ years of experience in data engineering, with a strong understanding of data modeling, transformation, and analytics workflows. You will work closely with our data, engineering, and business teams to build scalable and maintainable data models that empower data-driven decision-making across the organization. Your work will ensure high-quality, well-structured data is available for reporting, analytics, and business intelligence purposes.

Your Main Missions:

• Design, develop, and maintain dbt (Data Build Tool) transformations to ensure clean, well-structured, and efficient data models.
• Collaborate with data engineers to optimize data pipelines and enhance data quality.
• Develop and optimize SQL-based transformations and queries for performance and efficiency.
• Build and maintain BI-ready datasets that support data analysts and business stakeholders.
• Work closely with business teams to translate requirements into data models and transformations.
• Assist in the adoption of modern data engineering best practices to improve workflow automation and data governance.
• Provide support and guidance on data visualization tools and ensure business users have access to trusted data sources.
• Ensure data accuracy, integrity, and consistency across all reporting layers.
• Maintain comprehensive documentation of data transformations, models, and processes.

Your Profile:

• Bachelor’s degree in a relevant field (e.g., Computer Science, Data Analytics, Information Systems, Mathematics, or related field).
• Master’s degree in a relevant field (e.g., Data Analytics, Business Analytics, or Computer Science) will be considered a plus.
• 1+ years of experience in a similar role, ideally within a data-driven environment.
• Experience with SQL and relational databases like MySQL, PostgreSQL, as well as NoSQL databases like MongoDB.
• 1+ years of hands-on experience in Python, including data manipulation, scripting, and automation.
• Experience with ETL/ELT workflows and best practices for data engineering, including pipeline orchestration tools like Apache Airflow.
• Experience working with BI tools such as Apache Superset, Tableau, or Power BI.
• Basic understanding of data governance, data cataloging, and documentation best practices.
• Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus.
• Strong problem-solving skills and ability to work independently in a fast-paced environment.
• Excellent verbal and written communication skills in English.

Join us and be part of a team that is shaping data-driven decision-making across the organization!