Industrial IoT Data Engineer for AI-Driven Analytics

Vivid Resourcing; Aarschot; Hybride; EUR 61 000 - 78 000; Plein temps

Avantages offerts par ce poste

Meal vouchers

Company car or mobility budget

Group insurance and hospitalisation

Résumé du poste

Vivid Resourcing is seeking a Data Engineer to design, develop and maintain scalable ETL/ELT pipelines using Python and SQL. You will build cloud-based data lakes and data warehouses, and develop data models for analytics, forecasting, BI, and AI/ML use cases.

The role emphasizes data quality, observability, and automated workflows with Airflow and dbt, plus experience with cloud stacks (Azure/AWS/GCP). Fluency in English is required, hybrid work in Belgium with focus near Aarschot/Leuven.

Qualifications

• 2–5 years of experience in data engineering or similar role.
• Strong Python and SQL
• Proven production ETL/ELT pipelines experience.
• Hands-on with Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar.
• Experience with Azure, AWS or GCP.
• Good knowledge of Apache Spark and modern data-platform architectures.
• Experience with Git, Docker, CI/CD, and cloud-native development.
• Kubernetes knowledge is a plus.
• Fluent in English.

Responsabilités

• 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 to support analytics, forecasting, BI, and AI/ML use cases.
• Implement data-quality checks, monitoring, testing, governance, and pipeline observability.
• Develop and maintain automated data workflows using orchestration tools like Airflow and dbt.
• Contribute to cloud-native development, CI/CD, automation, and infra improvements.

Connaissances

Python

SQL

2–5 years experience

English fluency

ETL/ELT pipelines

Git

Docker

CI/CD

Apache Spark

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Azure

AWS

GCP

Kubernetes

Outils

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Azure

AWS

GCP

Docker

Kubernetes

Apache Spark

Git

Description du poste

Vivid Resourcing is seeking a Data Engineer to design, develop and maintain scalable ETL/ELT pipelines using Python and SQL. You will build cloud-based data lakes and data warehouses, and develop data models for analytics, forecasting, BI, and AI/ML use cases.

The role emphasizes data quality, observability, and automated workflows with Airflow and dbt, plus experience with cloud stacks (Azure/AWS/GCP). Fluency in English is required, hybrid work in Belgium with focus near Aarschot/Leuven.