BI Data Engineer (SAP BO)

Neev; Brussel Hoofdstad; On-site; EUR 90,000 - 120,000; Full time

Job summary

Neev is seeking a highly experienced IT professional with deep expertise in SAP Business Objects, SAP Data Services, and enterprise data warehousing to lead design and analytics initiatives. Your background should include dimensional modelling, OLAP, and familiarity with cloud BI platforms.

The role demands strong SQL/PLSQL skills and hands-on experience with multiple BI tools (Power BI, Tableau, Qlik). Fluency in English is required; French is an asset.

Qualifications

• University degree in IT.
• At least 10 years of practical experience with SAP Business Objects is required.
• At least 8 years of practical experience with SAP Data Services is required.
• Excellent knowledge of enterprise data warehouse design and architecture, including dimensional modelling and star/snowflake schema design.
• Excellent knowledge of relational database systems applied to data warehousing.
• Excellent knowledge of SQL and PLSQL.
• Excellent knowledge of BI reporting and analytics tools (e.g., SAP Business Objects, Power BI, Tableau, Qlik) for enterprise dashboards and self-service analytics.
• Excellent knowledge of ETL and ELT tools (e.g., SAP DataServices, Informatica, Talend, dbt, Azure Data Factory) to manage enterprise data pipelines.
• Knowledge of non-relational databases (e.g., MongoDB, Cassandra, Hadoop HBase) for handling unstructured and semi-structured data would be an asset.
• Knowledge of SAP BO universe design and SAP BO admin.
• Knowledge of data lake and lakehouse design patterns (e.g., Delta Lake, Apache Iceberg) to support large-scale analytics would be an asset.
• Knowledge of modelling tools to design data models.
• Knowledge of OLAP technologies and data mining tools.
• Knowledge of cloud BI architectures (e.g., Azure Synapse, Snowflake, AWS Redshift) to enable scalable analytics would be an asset.
• Excellent command of the English language, French will be considered as an asset.

Skills

SAP BO

SQL

PL/SQL

Data warehousing concepts

Dimensional modelling

Education

University degree in IT

Tools

SAP Business Objects

Power BI

Tableau

Qlik

Informatica

Talend

dbt

Azure Data Factory

MongoDB

Cassandra

Hadoop HBase

SAP BO universe design

SAP BO admin

Delta Lake

Apache Iceberg

Azure Synapse

Snowflake

AWS Redshift

Job description

• University degree in IT combined with relevant IT professional experience of at least 10 years;
• At least 10 years of practical experience with SAP Business Objects is required;
• At least 8 years of practical experience with SAP Data Services is also Required;
• Excellent knowledge of enterprise data warehouse design and architecture, including dimensional modelling and star/snowflake schema design;
• Excellent knowledge of relational database systems applied to data warehousing;
• Excellent knowledge of SQL and PLSQL;
• Excellent knowledge of BI reporting and analytics tools (e.g., SAP Business Objects, Power BI, Tableau, Qlik) for enterprise dashboards and self-service analytics;
• Excellent knowledge of ETL and ELT tools (e.g., SAP DataServices, Informatica, Talend, dbt, Azure Data Factory) to manage enterprise data pipelines;
• Knowledge of non-relational databases (e.g., MongoDB, Cassandra, Hadoop HBase) for handling unstructured and semi-structured data would be an asset;
• Knowledge of SAP BO universe design and SAP BO admin;
• Knowledge of data lake and lakehouse design patterns (e.g., Delta Lake, Apache Iceberg) to support large-scale analytics would be an asset;
• Knowledge of modelling tools to design data models;
• Knowledge of OLAP technologies and data mining tools;
• Knowledge of cloud BI architectures (e.g., Azure Synapse, Snowflake, AWS Redshift) to enable scalable analytics would be an asset;
• Excellent command of the English language, French will be considered as an asset.