Data Engineer

You'll be joining a technology company using

data, software, and AI to drive efficiency, automation, and sustainability

across manufacturing and industrial operations. The work will consist of

IoT and industrial data , building scalable data platforms that support analytics, forecasting, and AI-driven solutions.

Responsibilities Design, develop, and maintain scalable

ETL/ELT data pipelines

using Python and SQL. Build and optimise

cloud-based data lakes, data warehouses, and modern data platforms . Develop reliable data models supporting

analytics, forecasting, business intelligence, and AI/ML use cases . Implement data-quality checks, monitoring, testing, governance, and pipeline observability. Develop and maintain automated data workflows using orchestration and transformation tools such as

Airflow and dbt . Contribute to cloud-native development, CI/CD, automation, and infrastructure improvements. Work with technologies such as

Azure, AWS, GCP, Snowflake, Microsoft Fabric, Docker, and Kubernetes .

Your Profile 2–5 years of experience

as a Data Engineer or in a similar data-focused engineering role. Strong programming skills in

Python and SQL . Proven experience building and maintaining

production ETL/ELT pipelines . Hands-on experience with one or more modern data technologies such as

Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar . Experience working with

Azure, AWS, or GCP . Good understanding of

Apache Spark and modern data-platform architectures . Experience with

Git, Docker, CI/CD , and cloud-native development. Knowledge of Kubernetes is an advantage. Fluent in English.

What's on Offer Competitive salary of up to

€6,000 gross/month , depending on experience. Company car or mobility budget . Hybrid working model with a base in

Aarschot/Leuven . Meal vouchers. Group insurance and hospitalisation insurance. Ongoing technical training and certification opportunities. Clear career progression towards

Senior Data Engineer, Data Architect, or Tech Lead . Opportunity to work with a modern technology stack including

Databricks, Snowflake, Microsoft Fabric, Azure, AWS, GCP, dbt, Airflow, and Apache Spark . Opportunity to work with

industrial, IoT, and time-series data . The chance to contribute to real-world projects focused on

manufacturing efficiency, automation, sustainability, and data-driven decision-making .

Interested? If you're interested send your CV and a short cover letter to

ryan.martin@vividresourcing.com .