Data Engineer (Databricks)

What you’ll do

As a Senior Data Engineer, you’ll lead

end-to-end data engineering projects

, from design to delivery. You’ll work with large-scale structured and unstructured data, designing and optimizing pipelines, warehouses, and architectures for high performance and reliability.

You’ll collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to ensure data solutions are aligned with business needs. Using

DevOps

and

CI/CD

principles, you’ll streamline development workflows and automate deployments.

Your main responsibilities:

Design, build, and maintain

data pipelines

,

data lakes

, and

data warehouses

(e.g., Azure Synapse, Databricks, Microsoft Fabric).

Implement scalable architectures on

cloud platforms

such as Azure, AWS, or GCP.

Develop and optimize

ETL/ELT processes

for both streaming and batch data.

Apply

DevOps \& CI/CD

practices for efficient and reliable deployments.

Introduce new tools and technologies to enhance performance and automation.

Guide and mentor junior engineers, fostering team learning and growth.

Collaborate with stakeholders to align technical design with business objectives.

Who you are

✅ Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

✅ 5+ years of hands-on experience in

data engineering

and

pipeline design

.

✅ Strong proficiency in

Python

,

PySpark

, or

Scala

.

✅ Experience with

Apache Spark

,

Databricks

, or similar frameworks.

✅ Expertise in

Azure

,

AWS

, or

GCP

environments.

✅ Familiarity with

streaming solutions

(Kafka, Event Hub, etc.).

✅ Knowledge of

SQL

,

NoSQL

, and advanced database design.

✅ Strong communication and leadership skills; mentoring experience is a plus.

✅ Fluent in

Dutch and English

.

💡 Bonus: Experience with data governance (DAMA-DMBOK) or cloud certifications (Azure, AWS, GCP).