At
Sytac
, we build high-performing engineering teams for leading organizations in the Netherlands and beyond. We combine a pragmatic, people-first culture with strong technical craftsmanship — giving engineers autonomy in real production environments, backed by a consultancy that invests in growth, community, and long-term partnerships.
For one of our highly regulated, data-driven clients in the financial markets domain, we’re looking for a
Data Engineer
to strengthen an
Engine \& Data Quality
initiative. You’ll work on mission-critical data pipelines that directly support risk processing, operational stability, and regulatory reliability.
What you’ll do
Build and improve
data quality pipelines
supporting a Risk Engine program
Define
data inputs, validations, and expected outputs
with stakeholders
Ensure smooth
rollout and adoption
of new data solutions
Develop and maintain pipelines using
Python and PySpark
Bring structure and ownership to
incident management
and operational excellence
Perform
root-cause analysis
during deployments and production issues
Apply and promote
industry best practices
in data engineering and reliability
What we’re looking for
Strong experience as a
Data Engineer
with
Python \& PySpark
Hands-on experience with
data quality, validation, and reliability
Pragmatic mindset: able to challenge “why it’s built this way” and improve it
Proactive, collaborative attitude with ownership over outcomes
Comfortable in high-availability, regulated environments
Nice to have
Experience with
TDD / BDD
or other testing methodologies
Familiarity with
PostgreSQL, Pandas, Django, Jenkins
Experience with
microservices
and
REST API development
Knowledge of
event-driven architecture
, message queues, or event streaming
Exposure to
cloud technologies
Background in
financial systems
(market data, trading, compliance, risk, etc.)
What we offer
High-impact role on
mission-critical data \& risk systems
Hybrid working setup (Amsterdam)
Competitive
salary or freelance rate
Strong engineering culture focused on
quality, reliability, and ownership