BI Data Engineer

🚀 #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 BI Data Engineer with extensive, long-term expertise in SAP BusinessObjects, advanced SQL, and data warehouse engineering to join our team in supporting large-scale international digital transformation initiatives and information systems within the agricultural domain. The role involves participating in the end-to-end lifecycle of Business Intelligence and reporting solutions that support complex sector-specific frameworks (such as agricultural markets, sustainability, policy analysis, and fund management). The specialist will design, build, and maintain enterprise data warehouses, ETL/ELT pipelines, dimensional models, interactive BI dashboards, and self-service analytics. Working under PM² and Agile methodologies, the position requires a high level of technical rigor, data governance, and secure management of sensitive operational information. In close collaboration with project leads, service managers, and cross-functional project teams in an international environment, the specialist will analyze, develop, and maintain high-performing data pipelines and analytical platforms. ⭐ WHAT WE HAVE FOR YOU? 🚩 Remote work model (far-site delivery with possible occasional presence in Brussels if requested with advance notice). ⏰ Flexible

working hours
. 💪 Integration into an experienced, highly skilled, and collaborative international team. 💣 Participation in high-impact international digital and data management projects. 💙 Inclusive and innovation-driven work environment.

REQUIREMENTS:
• Educational level & Total Experience (one of the following combinations):
• EQF Level 7 (Master's degree or equivalent) + minimum 15 years of IT experience, OR
• EQF Level 6 (Bachelor's degree or equivalent) + minimum 17 years of IT experience, OR
• Secondary education granting access to higher education + minimum 22 years of IT experience.
• Mandatory Professional

Experience:
• Minimum 13 years of experience with SAP BusinessObjects.
• Minimum 15 years of experience with SQL.
• At least 6 months of specific experience in the analysis, development, and maintenance of information systems in the agricultural sector.
• Languages:
• Minimum B2 level in English (spoken and written). TECHNICAL & FUNCTIONAL

EXPERIENCE:
• BI & Data Warehousing: Enterprise data warehouse design, data modeling, reporting solutions, interactive dashboards, and KPI development.
• Data Integration & Databases: Writing and optimizing complex SQL queries, building and maintaining robust ETL/ELT pipelines, and data quality controls.
• Domain & Methodology: Strong knowledge of the information systems lifecycle applied to the agricultural domain, working under structured frameworks such as PM² and Agile.
• Governance & Discretion: Ability to work autonomously, handling confidential data responsibly within a multicultural European context. TECHNOLOGIES &

SKILLS:
• Core Technologies: SAP BusinessObjects, SQL.
• Data Engineering & Architecture: Data warehousing, ETL/ELT workflows, relational database analysis, and physical/logical modeling.
• Methodologies: PM², Agile software development frameworks.
• Soft

Skills:
High rigor, autonomy, responsibility, excellent communication skills for multicultural environments, and a results-oriented mindset. NICE TO HAVE:
• Experience with SAP BO DataServices.
• Hands-on expertise in building/maintaining modern ETL/ELT integration pipelines.
• Design of complex Data Lakes/Data Warehouses and advanced BI dashboards. 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.