Data Engineer

Vivid Resourcing Ltd; Oost-Vlaanderen; Hybrid; EUR 61,000 - 73,000; Full time

Benefits offered by this job

Company car or mobility budget

Hybrid working from Ghent

Meal vouchers

Group insurance

Hospitalisation insurance

Training and certification

Clear progression towards Senior Data

Job summary

Vivid Resourcing Ltd is expanding its data team in Belgium, seeking a data engineer with a strong focus on Databricks, Python, SQL and cloud-based data engineering. The role offers hybrid work from the Ghent office and growth within a scaling veterinary and animal-health organisation.

You will build scalable ETL/ELT pipelines, work with Databricks and Spark to process data, and develop cloud-based data lakes and platforms.

Qualifications

• 2–5 years of Data Engineering experience.
• Strong Python and SQL skills.
• Hands-on with Databricks, Spark, cloud platforms and tools.

Responsibilities

• Build and optimise scalable ETL/ELT pipelines.
• Work with Databricks and Apache Spark to process and transform data.
• Develop cloud-based data lakes, warehouses and platforms.
• Integrate data from APIs, databases and SaaS apps.
• Develop data models to support analytics, reporting and AI initiatives.
• Improve data quality, monitoring, governance and platform reliability.
• Collaborate with engineers, analysts and stakeholders.

Tools

Databricks

Apache Spark

Python

SQL

Azure

AWS

GCP

dbt

Airflow

Microsoft Fabric

Job description

The company is a growing veterinary and animal-health organisation that is expanding its data team and are looking for a data engineer to join them. The role has a strong focus on Databricks, Python, SQL, and cloud-based data engineering, with plenty of scope to work on modern data architecture and large-scale data pipelines.

You'd be involved in:

• Building and optimising scalable ETL/ELT pipelines.
• Working with Databricks and Apache Spark to process and transform data.
• Developing cloud-based data lakes, warehouses, and modern data platforms.
• Integrating data from APIs, databases, SaaS applications, and other systems.
• Developing data models to support analytics, reporting, forecasting, and AI initiatives.
• Improving data quality, monitoring, governance, and overall platform reliability.
• Working closely with engineers, analysts, and business stakeholders.

They're ideally looking for someone with 2–5 years of Data Engineering experience, strong Python and SQL skills, and hands-on experience with technologies such as Databricks, Spark, Azure/AWS/GCP, dbt, Airflow, or Microsoft Fabric.

The package includes:

• Up to €6,000 gross/month, depending on experience.
• Company car or mobility budget.
• Hybrid working from their Ghent office.
• Meal vouchers, group insurance, and hospitalisation insurance.
• Training and certification opportunities.
• Clear progression towards Senior Data Engineer, Data Architect, or Tech Lead.