#WEAREALTIA ALTIA 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.
We are looking for a Senior Database & BI Engineer with extensive, high-level expertise in database architecture, enterprise data warehousing, relational database engineering (Oracle & PostgreSQL), ETL/ELT integration pipelines, and analytical/reporting ecosystems to join our team in supporting the evolution, design, migration, and maintenance of large-scale European Commission data platforms and core application systems.
The role involves designing, building, migrating, and optimizing modern Database and Business Intelligence architectures across cloud, on‑premises, and hybrid environments. The specialist will lead secure and scalable database design, conceptual/logical/physical data modeling, procedural programming (PL/SQL, PL/pgSQL), release/deployment scripting, performance tuning, and the implementation of complex ETL/ELT pipelines and analytics solutions. Working within structured European management frameworks (PM² and Agile methodologies), the position requires high technical rigor, data quality enforcement, and secure management of sensitive operational information.
In close collaboration with project leads, service managers, developers, analysts, and cross-functional international teams, the specialist will translate complex functional needs into scalable, secure, and high-performing database and data engineering solutions.
WHAT WE HAVE FOR YOU?
- Remote work model: Far-site delivery with potential occasional, planned presence in Brussels (if requested with advance notice by the project).
- Flexible working hours.
- Long-term stable position with high-impact professional growth opportunities within international public sector initiatives.
- Continuous learning and upskilling in cutting-edge database architectures, cloud analytics, lakehouse patterns, and modern migration practices.
- Integration into an experienced, highly skilled, and collaborative international team.
- Participation in strategic digital transformation, database migration, and enterprise data management projects.
- Inclusive and innovation-driven work environment.
Requirements
Educational Level & Experience (one of the following combinations):
- EQF Level 7 (Master's degree or 5 years of higher education) + minimum 15 years of professional IT experience, OR
- EQF Level 6 (Bachelor's degree or 3 years of higher education) + minimum 17 years of professional IT experience, OR
- Secondary education granting access to higher education + minimum 22 years of professional IT experience.
Core Professional Experience:
- Minimum 15 years of professional experience in Oracle database engineering, development, and administration.
- Minimum 15 years of expert experience in SQL and procedural SQL development, with deep focus on PL/SQL (practical experience with PL/pgSQL for PostgreSQL is also required).
- Minimum 10+ years in conceptual, logical, and physical data modeling, schema design (tables, views, indexes, constraints), and database architecture.
- Proven track record in database migration, release/deployment scripting (DDL), performance tuning, troubleshooting, and production continuity.
- Solid background in enterprise BI platforms and integration engines (e.g., SAP BusinessObjects, Qlik Sense, Power BI, or SAP Data Services, SAS DI, Informatica, Talend, dbt).
- Proven track record supported by concrete examples of deliverables, project contexts, migration efforts, and technical contributions clearly detailed in the CV.
Languages & Security:
- Minimum CEFR B2 level in English (spoken and written). Working knowledge of French for technical discussions is considered a strong asset.
Technical & Functional Experience
- Database Architecture & Modeling: Conceptual, logical, and physical data modeling, database design, schema evolution, partitioning, indexing, storage strategies, and query performance optimization.
- Database Migration & Deployment: Release/deployment preparation, execution of database migration plans, DDL scripting, and maintaining high availability / production continuity.
- Data Warehousing & Analytics: Enterprise Data Warehousing (EDW) design, dimensional modeling (star/snowflake), data quality controls, and business intelligence reporting support.
- Governance, Security & Compliance: Implementation of data security best practices, access control, GDPR compliance, row-level security, data lineage, and thorough technical documentation.
- Agile & DevOps Integration: Working within PM² and Agile development frameworks, leveraging version control and CI/CD tools for database deployment and issue tracking.
Technologies & Skills
- Databases & Procedural Languages: Oracle, PostgreSQL, PL/SQL, PL/pgSQL, advanced SQL.
- Database & Modeling Tools: Oracle SQL Data Modeler, SQL Developer, pgAdmin, IntelliJ DataGrip, TOAD, Liquibase.
- DevOps & Management Tools: GitLab, JIRA, CI/CD pipeline engines.
- BI & Integration Ecosystems: SAP BusinessObjects, Qlik Sense, Power BI, SAP Data Services, SAS 9.4 DI, Talend, Azure Data Factory, dbt.
NICE TO HAVE
- Experience in designing, migrating, or maintaining database solutions within public administration or international European institutions.
- Knowledge of cloud database analytics platforms (e.g., Azure Synapse, PostgreSQL on cloud, Snowflake, AWS Redshift).
This job offer has been drafted taking into account impartiality and non-discrimination based on gender, race, ideology, or any other reason, in accordance with applicable equality regulations.