EOS is part of The EOS Group — a leading technology-driven investor in receivables portfolios and an expert in the processing of outstanding receivables. With over 50 years of experience and offices in more than 20 countries, EOS offers intelligent receivables management services worldwide.At EOS Romania, you'll be part of a team that values creativity, collaboration, and continuous growth — through innovation challenges, cross-border projects, and the people around you.THE ROLEWe are looking for a senior data engineer / data architect to lead the redesign of our data warehouse. The focus is on critically assessing our existing high-volume data infrastructure, understanding the business logic embedded in it, and re-modelling it to better serve collections, recovery, and portfolio reporting. The right person combines deep technical command of Oracle and modern data architectures with the ability to understand why the data is structured the way it is — and to improve it without breaking the business processes that depend on it.RESPONSIBILITIESAssess the existing data warehouse — identify structural, performance, and design weaknesses — and lead its redesignRe-model the warehouse across conceptual, logical, and physical layers to better reflect business processes and reporting needsDefine and execute the migration strategy, ensuring continuity of critical reporting throughout the transitionAdminister and optimize Oracle databases, with planned expansion toward PostgreSQLDesign and tune complex queries — SQL tuning, execution plan analysis, indexing and partitioning strategiesTranslate requirements from business and analytics stakeholders into data structures, and advise on what the data genuinely supportsApply data privacy, access control, and anonymization by design across all warehouse and pipeline workEnsure high availability, scalability, and performance monitoring of the redesigned systemREQUIREMENTSAdvanced SQL — Oracle is mandatory; PostgreSQL is a strong plusProven experience designing or redesigning data warehouses, including data modelling (conceptual, logical, physical)Demonstrated ability to understand the business logic behind existing data structures and reconcile it with an improved technical designStrong database performance optimization skills — query optimization, partitioning, indexingExperience with high-volume / high-throughput systemsSolid knowledge of data architectures: Data Warehousing and Data LakesExperience with data integration and processing tools (ETL/ELT)Experience working with sensitive / personal data and applying data-protection practicesHands-on experience with a cloud database platform (Azure preferred; AWS a plus)Knowledge of analytics / predictive modelling is a plusPROFILEStrong analytical mindset, with the judgment to challenge existing designs and propose better onesComfortable owning a problem end to end — from understanding the business need through to architecture, build, and migrationAble to communicate technical trade-offs (performance, cost, maintainability) clearly to non-technical stakeholdersPragmatic about balancing an ideal design against operational continuity and delivery constraintsWHAT WE OFFERFlexible working hoursMeal ticketsMedical insurance subscription21 days of annual leave1 additional leave day for each year with the company1 additional leave day on your birthdayIn-house and off-site team eventsHackathon & Wall of Fame — EOS Group international innovation competitionGift tickets for special occasions (Christmas, Easter, Children's Day)Apply today and become part of EOS Romania's data transformation journey.Changing finances for the better. Show more Show less