Data Engineer job opportunity at Qualco Group.

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Date2026-01-22T13:59:03.714Z bot
Qualco Group Data Engineer
Experience: 5-years
Pattern: full-time
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loacation Athens, Greece
loacation Athens....Greece

Description QUALCO INTELLIGENT FINANCE, a member of the Qualco Group, is a leading provider in sustainable financing solutions to organizations seeking support in meeting liquidity and growth challenges and receivable management services. Leveraging proprietary, technologically advanced platforms, Qualco Intelligent Finance offers a wide range of services including designing customized solutions designing customized solutions based on artificial intelligence, advanced analytics, and expert consulting. The Data Engineer will be responsible for designing and optimizing the department’s current and future data related solutions and act as a champion for data integrity, consistency and reusability within all areas of analytics, by adopting a product-oriented approach to the creation of analytics deliverables. The role will be responsible for: Work closely with other team members on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects; Design, implement, maintain, monitor and optimize current and future data/reporting/analytics platforms/solutions in order to address data related needs; Integrate, transform, and consolidate data from various structured and unstructured data systems in order to make them available for reporting/analytics solutions; Develop and maintain Data Warehouse environments; Set up and maintain automated processes according to the business requirements i.e. invoicing process; and Identify areas to increase efficiency and automation of processes; Ensuring that all activities and duties comply fully with regulatory requirements, including the Group Anti-Bribery and Corruption Policy. BSc degree in Computer Science, Information Technology, or a related subject; 3-5 years’ experience in data engineering and/or data analysis; Strong knowledge of writing queries, stored procedures, views, functions and triggers for Microsoft SQL Server (T-SQL); Experience with analysis, design, and development of large high performance databases; Experience with ETL tools (preferably MS SSIS); Exceptional attention to quality, detail, and be comfortable working as part of an extended team on an agile delivery plan; Resourceful, creative, self-motivated and eager to learn; English fluency and strong communication skills, both verbal and written; Other desirable attributes include: Work experience in credit or debt portfolio data management, analytics or reporting; Experience with DevOps and/or other Git related tools; Experience with MS SharePoint and visualization platforms (e.g. PowerBI, SpotFire, QlikSense etc.) Knowledge of Python and/or other OOP languages; Knowledge of R statistical language; Knowledge and experience on Data Warehouse design as well as OLAP/OLTP systems; Experience in working with multidimensional databases; and Familiarity with statistical tools and predictive modelling concepts.

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