BI Data Engineer Consultant | EU Institutions
Il y a 4 heures
Arrondissement of BrusselsCapital, Brussels, Belgique
Ayesa Digital
Temps plein
Gratuit avec email ou Google
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Gratuit avec email ou Google
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
pEvery professional in our company is vital to us. Thanks to their talent, we continue to expand; today, we are a global team of over 11,000 people working toward a common goal. /p pWe are looking for a bBI Data Engineer /b to join a dynamic data team supporting a leading European institution in its digital transformation journey. The successful candidate will contribute to the design, development, and maintenance of modern data platforms, data warehouses, and Business Intelligence solutions that support analytical reporting and decision-making across complex environmental and climate-related domains. /p pWorking within an international and multicultural environment, you will play a key role in building scalable data pipelines, optimizing data architectures, enhancing reporting capabilities, and enabling data-driven insights through Microsoft Azure and Power BI technologies. /p h3What you'll do /h3 ul liDesign, develop, and maintain scalable ETL/ELT processes and data orchestration workflows using Microsoft Azure services, Python, and SQL. /li liBuild and enhance Enterprise Data Warehouse (EDW), Data Lake, and Lakehouse solutions to support advanced analytics and reporting. /li liGather and analyze business requirements, transforming functional needs into robust technical solutions. /li liDesign conceptual, logical, and physical data models, including dimensional models and star/snowflake schemas. /li liDevelop and maintain Business Intelligence solutions using Microsoft Power BI, including dashboards, semantic models, KPIs, and self-service reporting capabilities. /li liOptimize database performance through query tuning, indexing, partitioning, and storage optimization strategies. /li liImplement data quality, monitoring, and observability frameworks to ensure trusted and reliable data assets. /li liDefine and execute testing activities, including data validation, regression testing, and CI/CD-integrated pipeline testing. /li liProduce and maintain technical documentation, including data dictionaries, lineage documentation, design specifications, and operational runbooks. /li liSupport deployments, configuration management, and version control processes using Git and Azure DevOps. /li liPerform ad hoc data analysis and reporting activities on complex datasets. /li liCollaborate with technical teams, stakeholders, and external partners in an agile delivery environment. /li liContribute to continuous improvement initiatives and the adoption of innovative data and AI-driven capabilities. /li /ul h3What we're looking for /h3 ul liDegree in Computer Science, Information Technology, Engineering, Data Science, or a related field. /li liAt least 5 years of professional experience with Python for data engineering and data processing. /li liAt least 2 years of experience working with SQL and relational database technologies. /li liAt least 2 years of hands-on experience with Azure Synapse Analytics and Azure Data Factory. /li liAt least 2 years of experience with Microsoft Power BI and Business Intelligence solutions. /li liAt least 2 years of experience in data engineering, data management, analytics, and ETL/ELT development. /li liStrong knowledge of Azure cloud data services, including Azure Synapse, Azure Data Factory, Azure Data Lake Storage Gen2, and Microsoft Fabric. /li liSolid understanding of data warehouse architecture, dimensional modelling, and modern data platform concepts. /li liExperience with Power Query, DAX, semantic models, and self-service BI environments. /li liKnowledge of modern Data Lake/Lakehouse architectures and data quality best practices. /li liExperience with Git, Azure DevOps, and Agile delivery methodologies. /li liStrong analytical and problem-solving skills with a high level of attention to detail. /li liAbility to work effectively both independently and within multicultural and multidisciplinary teams. /li liExcellent communication skills in English (minimum B2 level). /li liEU security clearance eligibility is required. /li liMicrosoft Azure Data Engineer, Power BI Data Analyst, Fabric Analytics Engineer, or equivalent certifications will be considered an asset. /li /ul h3bWhat
We Offer
/b /h3 ul liPrestigious projects within European institutions. /li liInternational, innovative, and multicultural environments. /li liContinuous support from a team of experts in EU projects. /li /ul pIf you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, bthis is the place for you /b /p pIn accordance with Organic Law 3/2007 of March 22, the company is committed to promoting the defense and effective application of the principle of equality between men and women, preventing any type of labor discrimination based on sex, and guaranteeing equal entry opportunities. Furthermore, we promote diversity and reject any discrimination based on race, gender, functional diversity, religion, sexual orientation, gender identity, or a
We Offer
/b /h3 ul liPrestigious projects within European institutions. /li liInternational, innovative, and multicultural environments. /li liContinuous support from a team of experts in EU projects. /li /ul pIf you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, bthis is the place for you /b /p pIn accordance with Organic Law 3/2007 of March 22, the company is committed to promoting the defense and effective application of the principle of equality between men and women, preventing any type of labor discrimination based on sex, and guaranteeing equal entry opportunities. Furthermore, we promote diversity and reject any discrimination based on race, gender, functional diversity, religion, sexual orientation, gender identity, or a