Data Engineer

Vivid Resourcing; Kortrijk; Hybride; EUR 60 933 - 72 986; Plein temps

Avantages offerts par ce poste

Company car

Mobility budget

Hybrid Work Kortrijk

Meal vouchers

Insurance package

Technical training

Career progression

Modern tech stack access

Résumé du poste

The Data Engineer role at Kortrijk-based SaaS company focuses on building scalable data pipelines and platforms to power analytics, reporting, and AI-driven applications. You will work with Databricks, Snowflake, dbt, Airflow, and cloud services across Azure, AWS, or GCP.

Ideal candidates have 2–5 years of data engineering experience, strong Python/SQL skills, and a collaborative mindset to support AI initiatives and data 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.
• 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, SaaS applications, and streaming sources.
• Develop reliable and scalable data models to support analytics and business intelligence.
• Ensure data quality, monitoring, governance, and orchestration best practices.
• Collaborate with engineering and product teams to deliver data-driven features.
• Support AI and machine learning initiatives through robust data infrastructure.
• Contribute to cloud-native development, CI/CD pipelines, 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

Communication skills

Outils

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Spark

Docker

Git

CI/CD

Kubernetes

Description du poste

The company you'll be working in is a SaaS company based in Kortrijk that develops cutting‑edge software solutions for customers across multiple industries. As a Data Engineer, you'll play a key role in designing, building, and maintaining scalable data platforms that power analytics, reporting, and AI–driven applications.

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, SaaS applications, and streaming sources.
• Develop reliable and scalable data models to support analytics and business intelligence.
• Ensure data quality, monitoring, governance, and orchestration best practices.
• Collaborate with engineering and product teams to deliver data‑driven features.
• Support AI and machine learning initiatives through robust data infrastructure.
• Contribute to cloud‑native development, CI/CD pipelines, 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.
• 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 based in Kortrijk.
• Meal vouchers, group insurance, and hospitalisation insurance.
• Ongoing technical training and certification opportunities.
• Clear career progression into Senior Data Engineer, Data Architect, or Tech Lead positions.
• Opportunity to work with modern technologies including Databricks, Snowflake, Microsoft Fabric, Azure, AWS, GCP, dbt, Airflow, and Spark.
• A collaborative, innovative culture with plenty of opportunities to learn and grow.