Staff Identity Systems Engineer, Platform-Scale Data Pipelines
Samba TV
Amsterdam
On-site
EUR 80,000 - 110,000
Full time
14 days+
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Benefits offered by this job
Health insurance
Wellness offerings
Life and disability insurance
Retirement savings plan
Paid holidays
Paid time off
Job summary
Samba TV in Amsterdam seeks a Staff Software Engineer to architect and deliver large-scale, cloud-native data engineering systems. This role involves building identity systems that connect data to various stakeholders. With 12+ years of experience, candidates should have expertise in data engineering, strong command of Python and SQL, and experience with distributed processing. The position offers a comprehensive benefits package including health insurance and paid time off.
Qualifications
12+ years of professional software engineering experience, with deep expertise in data engineering.
Proven ability to own technical architecture end-to-end in complex data environments.
Strong command of Python and SQL; comfortable with JavaScript.
Responsibilities
Design, build, and operate large-scale data pipelines for identity-linked data.
Architect ETL/ELT workflows using cloud infrastructure.
Define and implement observability and monitoring frameworks.
Lead code and design reviews, championing high standards.
Skills
Data engineering
Backend systems
Distributed data infrastructure
Python
SQL
JavaScript
Distributed processing frameworks
Cloud platforms (AWS/GCP)
Workflow orchestration tools
Data privacy regulations (GDPR, CCPA)
Tools
Apache Airflow
Spark
Snowflake
Job description
Samba TV in Amsterdam seeks a Staff Software Engineer to architect and deliver large-scale, cloud-native data engineering systems. This role involves building identity systems that connect data to various stakeholders. With 12+ years of experience, candidates should have expertise in data engineering, strong command of Python and SQL, and experience with distributed processing. The position offers a comprehensive benefits package including health insurance and paid time off.