Job Title: Data Engineer
Location:
Ghent
Language Requirement:
Fluent Dutch + Professional English
Employment Type:
Full-time (Permanent)
Industry:
SaaS Scale-Up
About the Company
Join a high-growth data platform scale-up based in Ghent that is revolutionising how organisations collect, process, and activate data. Our platform enables companies to build modern data architectures, unlock analytics, and accelerate AI adoption—without the complexity or high cost of legacy tools.
We are backed by leading investors, scaling rapidly across Europe, and building a world-class engineering culture focused on innovation, performance, and automation.
Role Overview
As a Data Engineer, you will play a key role in building and optimising the core data platform. You will design scalable data pipelines, improve infrastructure, and ensure high-quality data for product, analytics, and customer use cases. You’ll work with modern cloud technology and help shape the architecture in a fast-moving, product-led environment.
This role also involves collaborating with Dutch-speaking customers and internal stakeholders, so strong communication in Dutch is essential.
Key Responsibilities
Design, build, and maintain robust ETL/ELT data pipelines.
Develop and optimise data models, data lakes, and data warehouses.
Integrate data from various internal and external sources.
Improve platform performance, scalability and reliability.
Implement best practices for data governance and security.
Collaborate with Product, Engineering, and Customer teams.
Contribute to architectural decisions in a scale-up environment.
Monitor, troubleshoot and continuously improve the platform.
Write clear documentation and reusable processes.
Required Skills \& Experience
Fluent Dutch
(spoken \& written) and strong English.
3+ years of experience as a Data Engineer or similar.
Strong knowledge of
SQL
and relational databases.
Experience with
Python or Scala
for data processing.
Hands-on experience with
cloud data platforms
(Azure, AWS, GCP).
Experience with
ETL/ELT tools
and orchestration (Airflow, DBT, Data Factory, etc).
Understanding of
data warehousing and data modelling
.
Experience with
large-scale or real-time data
.
Comfortable working in an agile, fast-paced environment.
Nice to Have
Experience with
Azure Synapse, Databricks, Snowflake or BigQuery
.
Knowledge of
Kafka, Spark or streaming technologies
.
Exposure to
API integrations or SaaS products
.
Experience in a
start-up/scale-up
environment.
Familiarity with
CI/CD and modern DevOps tooling
.
Soft Skills
Strong communicator with Dutch-speaking stakeholders.
Proactive, ownership-minded, and solution-driven.
Able to work both independently and in a collaborative team.
Passion for modern data technologies and continuous improvement.
What We Offer
Competitive salary with bonus and benefits.
Hybrid and flexible working (Ghent).
Work with cutting-edge data and cloud technologies.
Direct impact on a fast-scaling data platform used across Europe.
Rapid career growth and technical autonomy.
Inclusive, innovative, and engineering-led culture.
Training, certifications and personal development budget.
Ready to help build the next-generation data platform in Belgium?
Apply now and join a leading scale-up shaping the future of data engineering!
Let me know if you want this tailored more toward junior/senior, more technical or more commercial, or linked to a specific tech stack (Azure, AWS, Databricks, etc.).