Sytac is seeking a Senior Data Engineer in Amsterdam to build high-performing engineering teams and develop robust data pipelines. The ideal candidate has over 6 years of experience in software development with a strong background in Python, SQL, and distributed data processing. Responsibilities include applying software engineering best practices in data architecture, developing ETL/ELT workflows, and designing scalable environments using Azure and GCP. Benefits include unlimited growth days, a comprehensive tech budget, and contributions to your pension.
Qualifications
At least 6 years of experience in software development.
Expert-level skills in SQL and Python, including writing clean, tested, reusable code.
Experience in distributed data processing using Apache Spark and PySpark.
Responsibilities
Apply software engineering best practices to complex data architectures.
Design scalable environments using Medallion architecture and Star Schema modeling.
Skills
Python
SQL
Apache Spark
PySpark
Azure
GCP
Docker
Kubernetes
Apache Airflow
Git
Education
HBO/WO level of thinking
Tools
Terraform
Bicep
Kafka
Data Lake/Lakehouse environments
Job description
Sytac is seeking a Senior Data Engineer in Amsterdam to build high-performing engineering teams and develop robust data pipelines. The ideal candidate has over 6 years of experience in software development with a strong background in Python, SQL, and distributed data processing. Responsibilities include applying software engineering best practices in data architecture, developing ETL/ELT workflows, and designing scalable environments using Azure and GCP. Benefits include unlimited growth days, a comprehensive tech budget, and contributions to your pension.