Data Engineer

Vivid Resourcing
Gent, Belgium
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
€72,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Software as a Service Cloud Database Databases Data Architecture Information Engineering Data Infrastructure Data Integration
+8 more
Extract Transform Load (ETL) Python (Programming Language) Standard Sql SQL Databases Apache Spark Microsoft Fabric Data Pipelines Databricks

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.

Requirements

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.

Benefits & conditions

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.

If you’re open to hearing more, I’d be happy to give you a quick overview of the company and role and see if it could be relevant for you.

Best,

Ryan

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