We are looking for a Data View Engineer to join a team responsible for building and evolving a modern Data Platform, delivering robust, insightful, and actionable data solutions that support business decision-making.
This role combines data visualization, data modeling, and ETL development, with strong exposure to Power BI, SQL, Python, and cloud platforms.
Key Responsibilities
- Design, develop, and maintain interactive Power BI dashboards, ensuring clarity, usability, and business relevance
- Define and implement KPIs, metrics, and performance indicators in close collaboration with business teams
- Build, maintain, and optimize data models to support efficient analytics and reporting
- Develop, monitor, and troubleshoot end-to-end ETL pipelines
- Write, review, and optimize SQL queries for data extraction, transformation, and reporting
- Use Python for data processing, automation, and integration tasks
- Manage and maintain Power BI workspaces, including DAX development and dataset optimization
- Deploy and support data solutions in cloud environments (GCP, AWS, or Azure)
- Ensure data quality, security, compliance, and governance across all data processes
- Provide technical support and guidance to business users on dashboards and data models
Required Skills & Experience
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field
- Strong experience in Power BI dashboard development
- Advanced proficiency in DAX and Power BI workspace management
- Proven experience with data modeling and ETL processes
- Excellent SQL skills for data querying and manipulation
- Proficiency in Python, particularly for data transformation and automation
- Hands-on experience with cloud platforms (GCP, AWS, or Azure)
- Strong analytical and problem-solving skills with high attention to detail
- Excellent written and verbal communication skills
Hybrid Work: 2/3x in the office in Lisbon
Key Skills
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- Posted
- Jan 13, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Lisbon
- Company
- act digital
Industries
Categories
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