BI Data Engineer

Are you ready to shape the future technological landscape in Europe?

We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Responsibilities

Are you ready to join the forefront of technology as a BI Data Engineer in Netcompany?; As a BI Data Engineer you will:; Design, develop, and maintain Enterprise Data Warehouses (EDW), Data Lakes, and Data Lakehouse solutions across cloud, on-premises, and hybrid environments.; Build and optimize ETL/ELT pipelines, orchestration workflows, and data virtualization solutions to integrate and manage diverse data sources.; Design scalable data models and modern BI architectures that support reporting, analytics, and business requirements.; Develop dashboards, KPIs, and self-service BI solutions that provide actionable insights to business stakeholders.; Optimize database and platform performance through query tuning, indexing, partitioning, caching, and resource scaling.; Implement data quality, observability, lineage, and governance practices while ensuring compliance with GDPR and security standards.; Define and execute testing strategies, automate deployments through CI/CD, and manage BI platform configurations using infrastructure-as-code.; Produce and maintain technical documentation, support data stewardship initiatives, and enable business users through certified datasets and training.

Requirements

What would make you a fit for the role:; 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) design and architecture, including dimensional modelling and star/snowflake schemas.; Experience with Data Lake and Data Lakehouse architectures and scalable analytics platforms.; Excellent knowledge of SQL and relational databases, with familiarity with NoSQL databases.; Experience with BI, reporting, analytics, ETL/ELT, and data pipeline technologies, such as Power BI, Tableau, Qlik, dbt, Informatica, Talend, or Azure Data Factory.; Knowledge of data modelling, OLAP, data integration, near-real-time ingestion, and Change Data Capture (CDC) technologies.; Experience with cloud data and BI platforms, together with knowledge of data governance, data lineage, cataloguing, and data observability.; Excellent English communication skills; knowledge of French is a plus.; Certification is a strong plus: Microsoft Data Analyst Associate, Microsoft Azure Data Engineer Associate, Amazon Certified Data Analytics Specialty, or an equivalent certification.