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# Data Engineer

- **Company:** Vivid Resourcing
- **Location:** Aalst, Belgium
- **Experience:** Experienced
- **Salary:** €78,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Software as a Service, Cloud Computing, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Database Development, DevOps, Distributed Computing Environment, Python (Programming Language), NoSQL, Operational Data Store, Software Tools, Azure Data Factory, Snowflake, Apache Spark, Git, Microsoft Fabric, Kubernetes, Infrastructure Automation Frameworks, Data Management, Azure Synapse Analytics, Data Pipelines, Docker, Databricks
- **Published:** August 5, 2026
- **Apply:** https://www.adzuna.be/details/5823541305

## About the Role

* 2-5 years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, or a related role.
 * Strong Python and SQL development skills.
 * Experience building production ETL/ELT pipelines using tools such as dbt, Apache Airflow, Azure Data Factory, Microsoft Fabric, or similar.
 * Hands-on experience with Azure, AWS, or GCP cloud platforms.
 * Experience with distributed data processing technologies such as Apache Spark and Databricks.
 * Solid understanding of relational and NoSQL databases, data modeling, and data warehouse design.
 * Familiarity with Git, Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code is a plus.
 * Experience supporting analytics, business intelligence, or AI/ML workloads is advantageous.
 * Strong communication skills and the ability to collaborate effectively across engineering, product, and business teams.

## Description

As a Data Engineer, you'll play a key role in building the data platform that powers our SaaS products. You'll design and develop scalable data solutions that transform product, customer, and operational data into reliable insights, enabling better decision-making and innovative product features., * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data across modern cloud platforms.

 * Build and optimize data warehouses and lakehouse architectures using technologies such as Databricks, Snowflake, Microsoft Fabric, Azure Synapse, or BigQuery.
 * Develop reliable data integrations connecting APIs, SaaS applications, databases, and event-driven data sources.
 * Partner with software engineers, product managers, analysts, and data scientists to deliver high-quality data products and self-service analytics.
 * Implement data quality, governance, monitoring, and orchestration best practices using modern engineering tools.
 * Contribute to cloud infrastructure, CI/CD pipelines, Infrastructure as Code, and DevOps initiatives to support scalable data platforms.


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