BI Data Engineer

🧠 Required Knowledge

• Knowledge of enterprise data warehouse design and architecture, including dimensional modelling and star/snowflake schema design.
• Knowledge of data lake and lakehouse design patterns (e.g., Delta Lake, Apache Iceberg) to support large-scale analytics.
• Excellent knowledge of relational database systems applied to data warehouse.
• Knowledge of non-relational databases (e.g., MongoDB, Cassandra, Hadoop HBase) for handling unstructured and semi-structured data.
• Excellent knowledge of SQL.
• Knowledge of BI reporting and analytics tools (e.g., Power BI, Tableau, Qlik) for enterprise dashboards and self-service analytics.
• Knowledge of ETL and ELT tools (e.g., Informatica, Talend, dbt, Azure Data Factory) to manage enterprise data pipelines.
• Knowledge of modelling tools (e.g., ERwin, SAP PowerDesigner, ArchiMate for data flows) to design logical and physical data models.
• Knowledge of OLAP technologies (e.g., SSAS, Essbase) and data mining tools (e.g., SAS Enterprise Miner, RapidMiner).
• Knowledge of near real-time data ingestion and change data capture (CDC) technologies (e.g., Kafka, Debezium, GoldenGate).
• Knowledge of cloud BI architectures (e.g., Azure Synapse, Snowflake, AWS Redshift) to enable scalable analytics.
• Knowledge of data governance and cataloguing practices (e.g., Collibra, Alation, Azure Purview) to ensure trusted data assets.
• Knowledge of data observability practices (e.g., freshness, lineage, anomaly detection) to monitor and assure pipeline quality.
• High level of English

✅ Main Responsibilities

• Create and maintain Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses).
• Design modern Business Intelligence (BI) architectures (e.g., data lakehouse) for cloud, on-premises, and hybrid environments, ensuring compliance with security and data residency requirements.
• Gather and analyse business requirements specifically for data pipelines, storage, and reporting solutions.
• Design and implement modern Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) processes and orchestration workflows, incorporating data contracts and schema evolution management.
• Implement and manage data virtualization layers to provide unified access to heterogeneous data sources while optimizing performance and security

🔝 Skills

• Ability to apply rigour and consistency in BI development practices.
• Ability to work in multi-cultural environment.
• Ability to participate in multilingual meetings.
• Ability to understand, speak and write English, optionally French as an additional asset.

This job offer has been drafted with impartiality and non-discrimination on the basis of gender, race, ideology or any other grounds in mind. In particular, it complies with current regulations on gender equality between women and men (Royal Decree-Law 6/2019)

Do you want to start a new professional challenge? Check out our new opportunity!

We are looking to incorporate a BI Data Engineer to our team.

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