BI Data Engineer (SAP BO)

Neev; Brussel Hoofdstad; On-site; EUR 90,000 - 130,000; Full time

Job summary

Neev is seeking an accomplished IT professional with a minimum of 10 years of experience in data warehousing and BI analytics to design and manage enterprise data pipelines and analytics platforms. The role emphasizes SAP Business Objects, SAP Data Services, and broad BI tooling expertise to deliver scalable dashboards and insights.

The ideal candidate will have deep knowledge of data modelling, ETL/ELT practices, and cloud BI architectures, with strong SQL/PLSQL skills and excellent English

Qualifications

• University degree in IT with at least 10 years of relevant IT experience.
• At least 10 years of practical experience with SAP Business Objects.
• At least 8 years with SAP Data Services.
• Strong enterprise data warehouse design and architecture knowledge.
• Relational databases for data warehousing.
• Strong SQL and PLSQL skills.
• Extensive BI tooling knowledge (SAP BO, Power BI, Tableau, Qlik).
• Experience with ETL/ELT tools (SAP Data Services, Informatica, Talend, dbt, Azure Data Factory).
• Knowledge of NoSQL databases (MongoDB, Cassandra, HBase) is a plus.
• Familiarity with SAP BO universe & admin, data lake/lakehouse patterns (Delta Lake, Iceberg).
• Experience with data modeling tools, OLAP, data mining, and cloud BI architectures (Azure Synapse, Snowflake, Redshift).
• Excellent English; French is a plus.

Skills

Data warehousing design

Dimensional modelling

SQL/PLSQL

OLAP

Cloud BI architectures

BI reporting

ETL/ELT know-how

English proficiency

French asset

Education

University degree in IT and 10+ years experience

Tools

SAP Business Objects

SAP Data Services

Power BI

Tableau

Qlik

Informatica

Talend

dbt

Azure Data Factory

MongoDB

Cassandra

Hadoop HBase

Delta Lake

Apache Iceberg

SAP BO universe design

SAP BO admin

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.