We are looking to incorporate a BI Data Engineer to our team. We are an IT Consultant Group that provides services and creates digital solutions to improve the lives of citizens across Europe. Our project and team This is your opportunity to start working on international projects with a highly qualified team and applying the latest technologies.

You will join our European team, specifically the one involved in several projects for a significant European Agency. 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., 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. ERwin, SAP PowerDesigner, ArchiMate for data flows) to design logical and physical data models. 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 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 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. In particular, it complies with current regulations on gender equality between women and men (Royal Decree-Law 6/2019)

📌 BI Data Solutions Engineer (Valencia)
🏢 ALTIA
📍 Valencia