Senior Data Platform Engineer: Scalable Data & Streaming

United States Digital Space LLC; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Job summary

United States Digital Space LLC in Amsterdam is seeking a senior data engineer to build and enhance scalable data platforms. You will develop streaming and batch pipelines, and collaborate with analysts, data scientists and engineers to deliver high-quality tooling and data services.

The role emphasizes in-person collaboration at our Amsterdam office with no remote-only options. A strong background in Python and big data frameworks is required.

Qualifications

• 6+ years of Python object oriented programming experience.
• Experience with distributed data and compute systems such as Spark, Trino, Druid.
• Experience developing and maintaining DevOps pipelines and development ecosystems.
• Real-time and batch data pipelines using Kafka and Spark streaming.
• Familiarity with Kubernetes, Docker and Hadoop ecosystems.

Responsibilities

• Build and maintain scalable, high-performance big data platforms.
• Improve tooling to enhance data discoverability and metadata presentation.
• Develop streaming processing applications and frameworks.
• Collaborate with analysts, data scientists and data engineers; coordinate with security and infra teams.

Skills

Team player

Strong communication

Stakeholder management

Tools

Python

Spark

Trino

Druid

Kafka

Kubernetes

Hadoop

Job description

United States Digital Space LLC in Amsterdam is seeking a senior data engineer to build and enhance scalable data platforms. You will develop streaming and batch pipelines, and collaborate with analysts, data scientists and engineers to deliver high-quality tooling and data services.

The role emphasizes in-person collaboration at our Amsterdam office with no remote-only options. A strong background in Python and big data frameworks is required.