Data Engineer

Vivid Resourcing; Oost-Vlaanderen; Hybrid; EUR 61.000 - 73.000; Vollzeit

Benefits dieser Stelle

Company car / mobility budget

Hybrid office in Ghent

Meal vouchers

Group insurance

Hospitalisation insurance

Technical training & certification

Zusammenfassung

Vivid Resourcing Ltd in Ghent is seeking an experienced Data Engineer to design, build and maintain scalable ETL/ELT pipelines powering health tech analytics and operations.

You will develop cloud-based data lakes and warehouses, integrate diverse data sources including EHR/FHIR, and collaborate with engineers, product teams and stakeholders in a hybrid work setting.

Qualifikationen

• 2-5 years of experience as a Data Engineer or in a similar data-focused engineering role.
• Strong hands-on experience with Python and SQL.
• Proven experience building and maintaining production-grade ETL/ELT pipelines.
• Experience with modern data technologies such as Databricks, Snowflake, dbt, Airflow, Microsoft Fabric or similar.
• Practical experience with Azure, AWS or GCP.
• Good understanding of Apache Spark and modern data platform architectures.
• Experience with Docker, Git, CI/CD, and ideally Kubernetes.
• Comfortable working in a product-led, agile environment and collaborating with software engineers, product teams and business stakeholders.

Aufgaben

• Design, develop and maintain scalable ETL/ELT pipelines powering health tech products, analytics and operational processes.
• Build and optimise cloud-based data lakes, data warehouses and modern data platforms that handle sensitive health data securely.
• Integrate data from APIs, databases, SaaS platforms, medical devices, IoT sensors and healthcare systems (for example EHR and FHIR/HL7 sources).

Kenntnisse

Python

SQL

ETL/ELT pipelines

Databricks

Snowflake

dbt

Airflow

Azure

AWS

GCP

Docker

Git

CI/CD

Kubernetes

Spark

Agile

Tools

Databricks

Snowflake

dbt

Airflow

Microsoft Fabric

Azure

AWS

GCP

Docker

Kubernetes

Spark

Jobbeschreibung

Join a fast-growing Ghent health tech company that is using data to change how healthcare works. Its platform helps providers and life sciences organisations deliver better care, and as a data engineer you’ll build the foundations behind it, in a team that is scaling fast and gives you real influence.

Responsibilities

• Design, develop and maintain scalable ETL/ELT pipelines powering health tech products, analytics and operational processes.
• Build and optimise cloud-based data lakes, data warehouses and modern data platforms that handle sensitive health data securely.
• Integrate data from APIs, databases, SaaS platforms, medical devices, IoT sensors and healthcare systems (for example EHR and FHIR/HL7 sources).

Your Profile

• 2-5 years of experience as a Data Engineer or in a similar data-focused engineering role.
• Strong hands-on experience with Python and SQL.
• Proven experience building and maintaining production-grade ETL/ELT pipelines.
• Experience with modern data technologies such as Databricks, Snowflake, dbt, Airflow, Microsoft Fabric or similar.
• Practical experience with Azure, AWS or GCP.
• Good understanding of Apache Spark and modern data platform architectures.
• Experience with Docker, Git, CI/CD, and ideally Kubernetes.
• Comfortable working in a product-led, agile environment and collaborating with software engineers, product teams and business stakeholders.

What’s on Offer

• Salary of up to €6,000 gross per month, depending on experience.
• Company car or mobility budget.
• Hybrid working model with a modern office environment in Ghent.
• 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.
• The chance to work with modern technologies including Databricks, Snowflake, Microsoft Fabric, Azure, AWS, GCP, dbt, Airflow and Spark.
• A direct impact on a growing health tech product and data platform that helps improve care.
• A collaborative, technically ambitious environment where data is central to the product and business strategy.