Senior Data Engineer

At Sytac, we build high-performing engineering teams for leading organizations. We combine a pragmatic, people-first culture with technical craftsmanship, giving engineers autonomy in real production environments.

For one of our key clients in the Netherlands, we are looking for a

Senior Data Engineer

who treats data pipelines like high-quality software. We aren't just looking for someone to move data; we want an engineer who comes from a

Software Engineering background,

someone who prioritizes clean code, scalability, and robust automation over manual configuration.

What you’ll do

Apply software engineering best practices, such as modular design, version control, and testing, to complex data architectures.

Develop robust ETL/ELT workflows using

Python ,

PySpark , and

SQL , ensuring they are as maintainable as any production application.

Design scalable environments using

Medallion architecture

(Bronze, Silver, Gold) and

Star Schema

modeling within

Azure

and

GCP .

Use

Terraform

or

Bicep

for Infrastructure as Code (IaC) and manage containerized deployments via

Docker

and

Kubernetes .

Leverage

AI-assisted development

(Copilot, Cursor) to build smarter pipelines and integrate LLM capabilities where they add value.

Drive a culture of continuous improvement using

CI/CD

(Azure DevOps/GitHub Actions) and

Apache Airflow

for orchestration.

Work closely with stakeholders to translate business logic into high-quality technical specs, acting as a technical lead for the data domain.

What we’re looking for

A strong background in software development, with at least 6 years of experience and an HBO/WO level of thinking.

Expert-level

Python

and

SQL

(PostgreSQL, MS SQL, Oracle). You write code that is clean, tested, and reusable.

Deep experience with

Apache Spark

and

PySpark

for distributed data processing.

Hands-on experience with

Azure

(Databricks, Synapse) and/or

GCP

(BigQuery, Dataflow).

Solid experience with

Kafka ,

Docker ,

Kubernetes , and

Apache Airflow .

Strong proficiency in

Git

and building automated

CI/CD

pipelines.

Experience with

Data Lake/Lakehouse

environments and dimensional modeling.

Nice to have

Experience with

Scala ,

Java , or

Kotlin

is a huge plus given your software background.

Experience with

dbt ,

pandas/polars , or

FastAPI .

Proficiency in

Dutch

is highly valued.

Life at Sytac

Working at Sytac means joining a community that prioritizes your growth. Our benefits package is designed for flexibility, learning, and adventure:

Unlimited Growth Days:

Enjoy yout professional development and Sytac activities!

The Best Gear:

Pick a private laptop (

Invest in You:

A €2,400 annual growth budget for training and conferences.

Future Proof:

We contribute 3.75% to your pension.

Legendary Trips:

Join our annual ski trips, beach BBQs, and epic parties!

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