Data Engineer

Vivid Resourcing; Vlaams-Brabant; Hybride; EUR 683 000 - 924 000; Plein temps

Avantages offerts par ce poste

Company car

Mobility budget

Hybrid work

Meal vouchers

Group insurance

Hospitalisation insurance

Technical training

Career progression

Résumé du poste

Vivid Resourcing is partnering with a fast-growing energy-tech organisation based in Leuven to hire a Data Engineer. The role focuses on designing, developing, and maintaining scalable ETL/ELT pipelines and modern data platforms to support analytics and forecasting.

You will work with Databricks, Snowflake, dbt, Airflow, and Spark in a cloud-first environment, collaborating across teams and applying best practices in data quality and governance.

Qualifications

• 2–5 years of experience as a Data Engineer or in a similar role.
• Strong Python and SQL skills.
• Experience building production ETL/ELT pipelines.
• Hands‑on experience with Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar technologies.
• Experience with Azure, AWS, or GCP.
• Knowledge of Apache Spark and modern data platform architectures.
• Experience with Docker, Git, CI/CD, and Kubernetes is an advantage.
• Experience with energy, IoT, industrial, or time‑series data is a plus.
• Excellent communication skills and a collaborative mindset.

Responsabilités

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimise cloud-based data lakes, data warehouses, and modern data platforms.
• Integrate data from APIs, databases, IoT devices, and enterprise systems.
• Develop reliable data models supporting analytics, forecasting, and business intelligence.
• Ensure data quality, monitoring, governance, and orchestration best practices.
• Contribute to cloud-native development, CI/CD, automation, and infrastructure improvements.

Connaissances

Python

SQL

ETL/ELT pipelines

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Azure

AWS

GCP

Apache Spark

Docker

Git

CI/CD

Kubernetes

IoT data

Energy domain

Communication

Collaboration

Outils

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Azure

AWS

GCP

Spark

Docker

Kubernetes

Description du poste

The company you'll be joining is a fast-growing energy-tech organisation based in Leuven, focused on using data, software, and technology to support the transition towards a more efficient and sustainable energy system.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimise cloud-based data lakes, data warehouses, and modern data platforms.
• Integrate data from APIs, databases, IoT devices, and enterprise systems.
• Develop reliable data models supporting analytics, forecasting, and business intelligence.
• Ensure data quality, monitoring, governance, and orchestration best practices.
• Contribute to cloud-native development, CI/CD, automation, and infrastructure improvements.

Your Profile

• 2–5 years of experience as a Data Engineer or in a similar role.
• Strong Python and SQL skills.
• Experience building production ETL/ELT pipelines.
• Hands‑on experience with Databricks, Snowflake, dbt, Airflow, Microsoft Fabric, or similar technologies.
• Experience with Azure, AWS, or GCP.
• Knowledge of Apache Spark and modern data platform architectures.
• Experience with Docker, Git, CI/CD, and Kubernetes is an advantage.
• Experience with energy, IoT, industrial, or time‑series data is a plus.
• Excellent communication skills and a collaborative mindset.

What's on Offer

• Salary up to €6,000 per month, depending on experience.
• Company car or mobility budget.
• Hybrid working model based in 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 modern technologies including Databricks, Snowflake, Microsoft Fabric, Azure, AWS, GCP, dbt, Airflow, and Spark.
• Opportunity to work on real-world energy and sustainability challenges in a growing technology environment.