Senior Data Visualization Engineer

Impressit is looking for a Senior Visualization Engineer / Data Analyst to join a cross-functional Data & Analytics team. This role focuses on building scalable BI products, semantic data models, and high-quality Power BI dashboards that support data-driven decision-making across energy trading portfolios. You will work closely with data engineers, product managers, and business stakeholders to transform complex datasets into intuitive and performant visual analytics solutions. This is a long-term engagement with enterprise-scale analytics platforms, modern BI practices, and international stakeholders.

Important: Must be located in Spain / Portugal.
 

What do we expect?

— 10–12 years of commercial experience in Data Analytics, Business Intelligence, or Data Visualization
— Strong expertise in Power BI, including Advanced DAX, Power Query, semantic modeling, security configuration, and deployment in Power BI Service
— Solid experience with SQL, including query design, optimization, and diagnostics across large datasets
— Strong understanding of dimensional data modeling (star and snowflake schemas, conformed dimensions, calculation groups)
— Deep knowledge of data visualization best practices, information design, accessibility, and storytelling with data
— Experience building enterprise-grade BI solutions and reusable datasets
— Hands-on experience with data governance and BI DevOps practices (workspace strategy, dataset certification, version control such as Git, CI/CD pipelines)
— Experience working in Agile teams and collaborating with cross-functional stakeholders
— Strong communication skills with the ability to translate technical concepts into business insights

What will you do?

— Lead end-to-end development of BI products, including requirements discovery, wireframing, modeling, development, testing, and deployment in Power BI Service
— Design and build robust semantic models and reusable datasets optimized for performance and scalability
— Develop interactive dashboards and decision-support analytics products
— Apply visualization best practices to communicate insights clearly and effectively
— Optimize DAX calculations, SQL queries, and data models for high performance and scalability
— Implement data quality checks, lineage tracking, and security controls such as row-level and column-level security
— Collaborate with data engineers, product teams, and business stakeholders throughout the product lifecycle
— Support UAT processes, feedback loops, and continuous improvement of analytics products
— Contribute to BI standards, templates, and development best practices across the team

As a plus:

— Experience working with energy trading, commodities, or financial trading data
— Understanding of trading concepts such as P&L drivers, exposure, positions, and risk metrics
— Experience with Azure data ecosystem, including Databricks, Azure Data Factory, or Microsoft Fabric
— Basic knowledge of Python for data preparation or analysis
— Experience with data cataloging and dataset reuse strategies