> Markdown version of [/jobs/ext/4044003-senior-bi-data-engineer-brussels](https://www.wearedevelopers.com/jobs/ext/4044003-senior-bi-data-engineer-brussels). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior BI Data Engineer - Brussels - **Company:** Seidor - **Location:** Brussel, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, BigQuery, Continuous Integration, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Warehousing, DevOps, SAP NetWeaver Data Management, SQL Databases, Talend, Azure Data Factory, Sql Optimization, Informatica Powercenter, Snowflake, Database Performance, Microsoft Fabric, Data Lakes, Infrastructure Automation Frameworks, Star Schema, Data Lakehouse, Azure Synapse Analytics, Data Pipelines - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d598db3594e1181d ## About the Role * Minimum 15 years of relevant professional experience. * Bachelor's degree in IT, Engineering, or related field (or equivalent experience). * Proficiency in English (C1). Mandatory Experience Strong experience with ETL/ELT tools (Azure Data Factory, dbt, Informatica, Talend, SAP Data Services, etc.) Advanced SQL expertise Data Warehousing and Data Modeling (Star Schema, Snowflake Schema) Experience with Microsoft Fabric, Azure Synapse, Snowflake, BigQuery, or similar platforms Knowledge of Data Lakes, Data Lakehouses, and Business Intelligence solutions Understanding of Data Governance, Data Quality, and Data Security best practices Experience working in Agile environments and modern DevOps practices ## Description Build and optimize Data Lakes and Data Lakehouse solutions in cloud, on-premises, and hybrid environments. Develop and maintain ETL/ELT pipelines using modern data integration tools. Design scalable data models (Star Schema, Snowflake Schema) to support analytics and reporting. Implement data quality, governance, security, and lineage frameworks. Create dashboards, KPIs, and self-service BI solutions for business stakeholders. Optimize SQL queries, database performance, and data platform costs. Define and maintain CI/CD processes and Infrastructure as Code practices for BI environments. Collaborate with business and technical stakeholders to gather requirements and deliver high-quality solutions.