Data Visualization Engineer - Power BI & Data Platform

emagine; Lisboa; On-site; EUR 50,000 - 80,000; Full time

Job summary

emagine is seeking a Data Visualization Engineer to join our team responsible for the Client’s Data Platform. You will design and develop Power BI dashboards, build scalable data models, and implement governance, ensuring data accuracy and accessibility.

You will work with dbt, Dataiku, BigQuery, and Terraform in cloud environments, delivering robust data solutions and reproducible deployments for business insights.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• 3+ years of hands‑on experience in similar type of responsibility.
• Fluent in English – C1.
• Strong experience in developing dashboards, semantic models, and visualizations using Power BI.
• Advanced proficiency in DAX and Power BI workspace management.
• Proven experience with data modeling, including complex analytical models, dimensional modeling, unified models, relationships, and different key strategies.
• Strong experience with dbt, including model development, documentation, data catalog/metadata, lineage, testing, and data quality practices.
• Hands‑on experience with Dataiku for data engineering, data preparation, transformation, and data quality assessment.
• Excellent skills in SQL, including complex transformations and query optimization.
• Proficient in Python, particularly for data transformation, automation, and integration tasks.
• Strong experience with GCP, particularly BigQuery and cloud-based data platforms.
• Experience using Terraform for Infrastructure as Code and provisioning/managing GCP resources and data platform jobs.
• Knowledge of data governance, data quality, metadata management, lineage, and documentation.
• Strong analytical and problem‑solving skills, with keen attention to detail.
• Excellent written and verbal communication skills.

Responsibilities

• Design, develop, and maintain interactive dashboards and semantic models using Power BI, ensuring visual clarity, performance, and business relevance.
• Develop and implement new metrics, KPIs, and performance indicators in collaboration with business units.
• Design, maintain, and optimize complex and unified data models, including appropriate relationships, grain, dimensional structures, and key strategies.
• Develop, monitor, and troubleshoot data engineering and ETL/ELT pipelines using Dataiku, ensuring reliable data processing and integration.
• Develop and maintain dbt projects, including models, sources, documentation, lineage, reusable transformations, and automated data quality tests.
• Write, review, and optimize advanced SQL queries for data extraction, transformation, modeling, and reporting, using BigQuery as the primary analytical platform.
• Utilize Python for data processing, automation, integration, and data engineering tasks.
• Work with the GCP data ecosystem, including BigQuery, Cloud Storage, Cloud Composer/Airflow, IAM, and other relevant cloud services.
• Use Terraform and Infrastructure as Code to provision and manage GCP resources and data platform jobs in a consistent and controlled manner.
• Implement data quality, governance, metadata, cataloging, documentation, and lineage practices across the data lifecycle.
• Manage Power BI workspaces, datasets, semantic models, and deployment processes while ensuring appropriate security and access controls.

Skills

Dashboard development

Semantic modeling

Data visualization

SQL

Python

Data governance

ETL/ELT

Decision support

Analytics

Education

Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field

Tools

Power BI

dbt

Dataiku

BigQuery

Terraform

Cloud Composer/Airflow

Job description

emagine is seeking a Data Visualization Engineer to join our team responsible for the Client’s Data Platform. You will design and develop Power BI dashboards, build scalable data models, and implement governance, ensuring data accuracy and accessibility.

You will work with dbt, Dataiku, BigQuery, and Terraform in cloud environments, delivering robust data solutions and reproducible deployments for business insights.