Senior Data Engineer: Build Scalable AI Pipelines

Sytac

Amsterdam

On-site

EUR 60,000 - 85,000

Full time

14 days+

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Benefits offered by this job

Unlimited Growth Days
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Job summary

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.
  • Develop ETL/ELT workflows ensuring maintainability.
  • 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.
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