Data Visualization Engineer

Data Visualization Engineer

We are seeking a highly skilled and motivated Data Visualization Engineer to join the team responsible for creating the Client’s Data Platform. This role is pivotal in delivering robust, insightful, and actionable data solutions to drive business success. The successful candidate will design and develop dashboards, create meaningful metrics, and build scalable data models, ensuring high standards of data accuracy, accessibility, governance, and visualization. The role includes end-to-end data engineering and transformation processes, advanced SQL and Python programming, dbt development, Dataiku workflows, and managing Power BI workspaces in cloud-based environments.

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.

Requirements

• 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.

Preferred Qualifications (Nice to have)

• Experience in data engineering, analytics engineering, business intelligence, or data visualization within an enterprise environment.
• Experience designing and implementing unified data models across multiple source systems and business domains.
• Experience with BigQuery optimization, partitioning, clustering, and large-scale analytical workloads.
• Experience with Cloud Composer / Apache Airflow and cloud-based orchestration.
• Experience with dbt testing frameworks, automated data quality validation, and data documentation.
• Experience with Power BI deployment processes, semantic model optimization, and enterprise workspace governance.
• Knowledge of data security, privacy, governance, and enterprise data catalog practices.
• Fluent in French.