BI Data Engineer

pbALTIA /b is a multidisciplinary team focused on delivering advanced data-driven solutions that generate measurable impact and enable smarter decision‑making. Working across international environments, we combine analytics, artificial intelligence, and business expertise to transform data into strategic value. Our mission is to help organizations evolve through innovation, scalable data platforms, and high‑quality analytical solutions, fostering continuous learning, collaboration, and technological excellence. /p pWe are looking for a bSenior BI Data Engineer /b with extensive, bhigh‑level expertise in enterprise data warehousing, Oracle databases, ETL/ELT integration pipelines, and reporting ecosystems /b to join our team in supporting the evolution, maintenance, and architecture of large‑scale European Commission data platforms and enterprise reporting systems (such as eGrants EDW). /p pThe role involves bdesigning, building, and optimizing modern Business Intelligence architectures /b across cloud, on‑premises, and hybrid environments. The specialist will lead the end‑to‑end design and implementation of complex ETL/ELT data pipelines, dimensional models, and physical schemas (partitioning, indexing, storage strategies). Additionally, the candidate will focus on governing the BI semantic layer, building enterprise dashboards and self‑service capabilities, implementing automated data quality/testing frameworks, and ensuring cost and query performance optimization across large‑scale data platforms. /p pIn close collaboration with project leads, business analysts, and cross‑functional technical teams, the specialist will translate complex business needs into secure, scalable data engineering solutions. The position requires deep hands‑on expertise with Oracle (including PL/SQL), SAP Business Objects (universe design and administration), SAS Data Integration, and SAP Data Services, alongside strong alignment with GDPR and data governance standards. /p h3What we have for you /h3 pRemote work model (far‑site delivery with occasional presence in Brussels up to 5 days per quarter). /p pFlexible

working hours
. /p pLong‑term stable position with executive‑level professional growth opportunities. /p pContinuous learning and upskilling in cutting‑edge BI architectures, lakehouse patterns, and cloud analytics. /p pIntegration into an experienced, highly skilled, and collaborative international team. /p pParticipation in high‑impact international digital and ICT projects. /p pInclusive and innovation‑driven work environment. /p h3Requirements /h3 h3Educational level Experience /h3 ul liEQF Level 7 (Master's degree or 5 years of higher education). /li liMinimum 15 years of professional IT experience. /li liMinimum 12 years of hands‑on Oracle experience applied to enterprise data warehouse environments. /li liMinimum 8 years of practical experience with SAP Business Objects (including universe design and administration). /li liMinimum 5 years of practical experience with SAS 9.4 Data Integration. /li liMinimum 3 years of practical experience with SAP Data Services. /li liProven track record supported by concrete examples of projects, deliverables, and measurable results clearly detailed in the CV. /li /ul h3Languages /h3 ul liMinimum B2 level in English or French (spoken and written). /li /ul h3Technical Functional Experience /h3 ul liData Warehousing Architecture: Enterprise Data Warehousing (EDW) design, dimensional modeling (star/snowflake schemas), data lakehouses, physical database schema optimization, indexing, partitioning, and storage/cost management. /li liDatabases Querying: Advanced SQL and PL/SQL development within large‑scale Oracle environments. /li liETL/ELT Orchestration: Data integration workflow design, schema evolution, data contracts, and ETL execution using SAS 9.4 Data Integration, SAP Data Services, and modern pipeline engines. /li liReporting Semantic Layer: SAP Business Objects universe design and admin, Power BI, Tableau, Qlik, metrics catalog governance, row‑level security, and self‑service BI enablement. /li liData Quality Governance: Data quality frameworks, health monitoring, automated pipeline testing (CI/CD integration), data lineage, runbooks, GDPR compliance, and access security. /li /ul h3Technologies Skills /h3 ul liDatabases: Oracle, PL/SQL, relational EDW. /li liBI Reporting: SAP Business Objects (Universe Design Admin), Power BI, Tableau, Qlik. /li liETL Integration: SAS 9.4 Data Integration, SAP Data Services, Informatica, DataStage, Talend, dbt, Azure Data Factory. /li liModeling Design: Logical and physical data modeling. /li liSoft

Skills:
High rigor in BI development practices, strong communication skills in multicultural/multilingual environments, results‑oriented mindset, and ability to work autonomously and in teams. /li /ul h3NICE TO HAVE /h3 ul liExperience with Enterprise Architect for logical and physical data modeling. /li liKnowledge of Data Lake / Lakehouse design pa