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# Data Engineer

- **Company:** Vivid Resourcing
- **Location:** Mechelen, Belgium
- **Experience:** Experienced
- **Salary:** €72,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Microsoft Azure, Software as a Service, Databases, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), SQL Databases, Snowflake, Apache Spark, Git, Microsoft Fabric, Kubernetes, Data Pipelines, Docker, Databricks
- **Published:** September 17, 2026
- **Apply:** https://www.adzuna.be/details/5886259493

## About the Role

* 2-5 years of experience as a Data Engineer or in a similar data-focused engineering role.
 * Strong hands-on experience with Python and SQL.
 * Proven experience building and maintaining production-grade ETL/ELT pipelines.
 * Experience with modern data technologies such as Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar.
 * Practical experience with Azure, AWS, or GCP.
 * Good understanding of Apache Spark and modern data platform architectures.
 * Experience with Docker, Git, CI/CD, and ideally Kubernetes.
 * Comfortable working in a product-led, agile environment and collaborating with software engineers, product teams, and business stakeholders.
 * Experience with B2B products, SaaS, IoT, industrial, energy, or time-series data is a plus.
 * Strong communication skills and a collaborative, pragmatic mindset.
 * Fluent in English.

## Description

* Design, develop, and maintain scalable ETL/ELT pipelines powering B2B products, analytics, and operational processes.
 * Build and optimise cloud-based data lakes, data warehouses, and modern data platforms.
 * Integrate data from APIs, databases, SaaS platforms, IoT devices, and other enterprise systems.
 * Develop robust data models and transformation layers that support product analytics, reporting, forecasting, and business intelligence.
 * Ensure high standards of data quality, reliability, monitoring, governance, and orchestration across the data platform.


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