Data Engineer

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

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.

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.
• 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.