BI Data Engineer

As a BI Data Engineer, you will be responsible for designing, developing, and maintaining modern data and BI solutions that enable organizations to turn complex data into actionable insights.

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Responsibilities

Design, develop, and maintain Enterprise Data Warehouses (EDW), Data Lakes, and Data Lakehouse solutions across cloud, on-premises, and hybrid environments.
Build, optimize, and maintain ETL/ELT pipelines, data integration processes, orchestration workflows, and data virtualization solutions.
Design scalable data models and BI architectures aligned with business and reporting requirements.
Develop and maintain dashboards, KPIs, reports, and self-service BI solutions that support data-driven decision-making.
Optimize database and platform performance through query tuning, indexing, partitioning, caching, and resource optimization.
Implement data quality, observability, lineage, cataloguing, and governance practices.
Ensure data solutions comply with GDPR, security, and organizational data governance standards.
Define and implement testing strategies to ensure the reliability and quality of data pipelines and BI solutions.
Automate deployments and platform management using CI/CD and Infrastructure as Code (IaC) practices.
Maintain comprehensive technical documentation covering data models, pipelines, architectures, and BI solutions.
Support data stewardship initiatives and help business users make effective use of certified datasets and self-service BI tools.
Provide guidance and training to business stakeholders on data and BI solutions.

Requirements

University degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field, or equivalent professional experience.
Strong knowledge of Enterprise Data Warehouse (EDW) architecture and design, including dimensional modelling and star/snowflake schemas.
Hands‑on experience with Data Lake and Data Lakehouse architectures and modern analytics platforms.
Strong proficiency in SQL and relational databases, with knowledge of NoSQL technologies being an advantage.
Solid understanding of data modelling, OLAP, data integration, near‑real‑time data ingestion, and Change Data Capture (CDC).
Experience working with cloud‑based data and BI platforms.
Knowledge of data governance, data lineage, data cataloguing, and data observability.
Good understanding of data security and GDPR compliance.

Nice to have

French is considered a plus.