Industrial IoT Data Engineer for AI-Powered Analytics

Vivid Resourcing; Aarschot; Hybride; EUR 40 000 - 67 000; Plein temps

Avantages offerts par ce poste

Company car or mobility budget

Hybrid work model

Group insurance

Hospitalisation insurance

Technical training & certification

Career progression path

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/warehouses and robust data models for analytics and AI/ML use cases.

The role requires 2–5 years in data engineering, hands-on experience with Databricks, Snowflake, dbt, Airflow, and cloud platforms (Azure/AWS/GCP). Hybrid work from Belgium is offered.

Qualifications

• 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 Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar.
• Experience 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.

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 supporting 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 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.

Connaissances

Python

SQL

ETL/ELT pipelines

production data pipelines

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Azure

AWS

GCP

Apache Spark

Git

Docker

CI/CD

Kubernetes

Cloud platforms

Outils

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Azure

AWS

GCP

Docker

Kubernetes

Git

CI/CD

Apache Spark

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/warehouses and robust data models for analytics and AI/ML use cases.

The role requires 2–5 years in data engineering, hands-on experience with Databricks, Snowflake, dbt, Airflow, and cloud platforms (Azure/AWS/GCP). Hybrid work from Belgium is offered.