Senior BI Data Engineer
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belgium belgium
SEIDOR
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h3About Seidor /h3 pSEIDOR helps organizations transform and stay competitive through technology and innovation, always putting people first. With over 8,000 professionals in 45 countries, we are a diverse and inclusive global team committed to talent, equal opportunities, and sustainable growth. /p h3#HumanizingTechnology /h3 pSEIDOR helps organizations transform and stay competitive through technology and innovation, always putting people first. With over 8,000 professionals in 45 countries, we are a diverse and inclusive global team committed to talent, equal opportunities, and sustainable growth. /p pWe deliver high-impact projects across industries, working with leading technology partners such as SAP, Microsoft, Salesforce, IBM, Google, AWS, Cisco, and Adobe. At the same time, we foster an environment where people can grow professionally and personally from day one. Guided by strong ESG values, SEIDOR is also committed to sustainability and has achieved net-zero status by reducing and offsetting its carbon footprint. /p h3Will you join us in humanizing technology? /h3 pWe want you to be a part of our team, from Luxembourg
- Remote, as anbIntermediate Data Engineer /b. /p h3WHAT WILL YOU DO IN YOUR DAY-TO-DAY? /h3 ul liBuild and optimize Data Lakes and Data Lakehouse solutions in cloud, on-premises, and hybrid environments. /li liDevelop and maintain ETL/ELT pipelines using modern data integration tools. /li liDesign scalable data models (Star Schema, Snowflake Schema) to support analytics and reporting. /li liImplement data quality, governance, security, and lineage frameworks. /li liCreate dashboards, KPIs, and self-service BI solutions for business stakeholders. /li liOptimize SQL queries, database performance, and data platform costs. /li liDefine and maintain CI/CD processes and Infrastructure as Code practices for BI environments. /li liCollaborate with business and technical stakeholders to gather requirements and deliver high-quality solutions. /li /ul h3Join our team and help us humanize the world through technology /h3 ps. /p h3Requirements /h3 h3WHAT DO WE EXPECT FROM YOU? /h3 ul liMinimum 15 years of relevant professional experience. /li liBachelor’s degree in IT, Engineering, or related field (or equivalent experience). /li liProficiency in English (C1). /li /ul h3Mandatory Experience /h3 ul liStrong experience with ETL/ELT tools (Azure Data Factory, dbt, Informatica, Talend, SAP Data Services, etc.). /li liAdvanced SQL expertise /li liData Warehousing and Data Modeling (Star Schema, Snowflake Schema) /li liExperience with Microsoft Fabric, Azure Synapse, Snowflake, BigQuery, or similar platforms /li liKnowledge of Data Lakes, Data Lakehouses, and Business Intelligence solutions /li liUnderstanding of Data Governance, Data Quality, and Data Security best practices /li liExperience working in Agile environments and modern DevOps practices /li /ul
- Remote, as anbIntermediate Data Engineer /b. /p h3WHAT WILL YOU DO IN YOUR DAY-TO-DAY? /h3 ul liBuild and optimize Data Lakes and Data Lakehouse solutions in cloud, on-premises, and hybrid environments. /li liDevelop and maintain ETL/ELT pipelines using modern data integration tools. /li liDesign scalable data models (Star Schema, Snowflake Schema) to support analytics and reporting. /li liImplement data quality, governance, security, and lineage frameworks. /li liCreate dashboards, KPIs, and self-service BI solutions for business stakeholders. /li liOptimize SQL queries, database performance, and data platform costs. /li liDefine and maintain CI/CD processes and Infrastructure as Code practices for BI environments. /li liCollaborate with business and technical stakeholders to gather requirements and deliver high-quality solutions. /li /ul h3Join our team and help us humanize the world through technology /h3 ps. /p h3Requirements /h3 h3WHAT DO WE EXPECT FROM YOU? /h3 ul liMinimum 15 years of relevant professional experience. /li liBachelor’s degree in IT, Engineering, or related field (or equivalent experience). /li liProficiency in English (C1). /li /ul h3Mandatory Experience /h3 ul liStrong experience with ETL/ELT tools (Azure Data Factory, dbt, Informatica, Talend, SAP Data Services, etc.). /li liAdvanced SQL expertise /li liData Warehousing and Data Modeling (Star Schema, Snowflake Schema) /li liExperience with Microsoft Fabric, Azure Synapse, Snowflake, BigQuery, or similar platforms /li liKnowledge of Data Lakes, Data Lakehouses, and Business Intelligence solutions /li liUnderstanding of Data Governance, Data Quality, and Data Security best practices /li liExperience working in Agile environments and modern DevOps practices /li /ul