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# Data & Analytics Engineer

- **Company:** Ecs
- **Location:** Zeebrugge, Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Logic, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Power BI, Standard Sql, SQL Databases, Microsoft Fabric, Data Analytics, Tools for Reporting, Semantic Modeling, Data Pipelines
- **Published:** November 6, 2026
- **Apply:** https://www.ecs.be/fr/carriere/emplois/data-analytics-engineer

## About the Role

* You have strong analytical and problem-solving skills and can think abstractly and solution-oriented.
 * You have a strong interest in data modeling, analytics, and solving complex data challenges.
 * You work independently and proactively while collaborating effectively with both business and IT colleagues.
 * You hold a Bachelor's or Master's degree in a relevant field, or equivalent experience, combined with at least 3 years of relevant professional experience.
 * You have solid knowledge of SQL, Python, databases, ETL/ELT pipelines, and modern data platform concepts such as lakehouses, warehouses, and layered data architectures.
 * You have experience with Microsoft Fabric or comparable modern data platforms and technologies such as Databricks, Azure Data Factory, or similar solutions.
 * You have experience in data engineering, data modeling, semantic modeling, and/or analytics engineering.
 * You have experience with Power BI or comparable BI and reporting tools. Experience with semantic models is a strong asset.
 * Knowledge of modern data architecture and CI/CD principles is a strong plus.
 * Experience in or knowledge of the transport and logistics sector is an advantage.
 * You are fluent in Dutch and English, both spoken and written. Knowledge of French is a plus.

## Description

As a Data & Analytics Engineer, you will design, build, and manage data pipelines, data models, and semantic layers within our Microsoft Fabric platform. You will transform raw source data into reliable, reusable, and production-ready data products that serve as the foundation for reporting, analytics, and AI applications. You combine strong technical expertise in SQL, Python, and data modeling with analytical insight and work closely with business stakeholders to translate information needs into scalable and sustainable data solutions. You take ownership of these solutions throughout their entire lifecycle, from development and testing to deployment, monitoring, and continuous improvement., * Build and maintain ETL/ELT pipelines and data products within Microsoft Fabric.

 * Translate business needs, KPIs, and processes into scalable data solutions.
 * Develop data models and semantic models with consistent business logic.
 * Create Power BI reports and dashboards that deliver actionable business insights.
 * Ensure the quality, reliability, and performance of data solutions.
 * Work according to established architecture, security, privacy, and governance standards.
 * Monitor, optimize, and continuously improve existing data pipelines and data products.
 * Deliver trusted data products that support reporting, analytics, and AI applications.
 * Collaborate closely with business and IT teams to drive data-driven solutions.

Work Schedule
Day shifts