What youâll do
As a Data Engineer, youâll work with enterprise clients to build
data connectors and processing solutions
using Python, Spark, and other modern tools. Youâll help design and manage data pipelines in
Azure
and other leading cloud environments, ensuring high-quality, production-ready data flows.
Your responsibilities include:
Building
data connectors and pipelines
for diverse sources.
Defining
validation tests
within pipelines.
Setting up
monitoring and alerts
to ensure reliability.
Troubleshooting incidents quickly to minimize user impact.
Collaborating with end-users to validate and continuously improve solutions.
Working with your team to
build, deploy, maintain, and optimize
enterprise-grade data solutions.
Weâre looking for someone who:
Holds a
HBO or WO degree
.
Has
2â3 years of relevant experience
in data engineering.
Is skilled in
SQL, Python, and Spark
.
Has some experience deploying data solutions in
container environments
(e.g., Kubernetes).
Ideally has worked with
Azure Data Factory, Fabric, or Databricks
.
Brings knowledge of
data modeling or dashboarding
(Power BI is a plus).
Understands
scrum/agile practices
and software development best practices.
Speaks and writes English
or/and Dutch fluently
.
Whatâs in it for you
We offer a competitive package and excellent growth opportunities, including:
đ¶
Salary between âŹ3,500 and âŹ5,500
, depending on your level.
đŽ
26 vacation days
.
đ°
8% vacation money
.
đ
Lease car or âŹ600ââŹ700 mobility allowance
.
đŠ
âŹ115 cost allowance
.
đ„
50% of your health insurance paid
, plus
50% of your partnerâs health insurance
(if living together).
đ
Study budget
for training and certifications.
đž
Bonus between 4â7%
(higher possible for top performers).