stafide~1d ago
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Data Engineer (ID: 3158)
Data EngineerData
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Quick Summary
Overview
As a Data Engineer you will: Work in an agile startup-oriented environment and contribute to continuous improvement. Design, develop, and maintain scalable software solutions, ensuring smooth transition from development to production.
Technical Tools
argocdazuredockergithub-actionsjenkinskafkakubernetespythonagileci-cd
As a Data Engineer you will: Work in an agile startup-oriented environment and contribute to continuous improvement. Design, develop, and maintain scalable software solutions, ensuring smooth transition from development to production. Contribute to up-to-date documentation and proactive prevention of technical debt. Participate in continuous delivery pipelines (Jenkins, ArgoCD, Azure DevOps, GitHub Actions). Build and support data ingestion, storage, processing, and security solutions at scale. Handle operations-related activities such as debugging, log analysis, and system monitoring. Work with open-source technologies including Kafka, Hadoop ecosystem (HDFS, Hive, Impala), Git, Docker, Kubernetes, and related tools. What You Bring to the Table: 8–10 years of professional experience in software development and data engineering. Strong hands-on expertise in Python and unit testing in Python. Proven experience with data migration and large-scale data engineering practices. Solid understanding of continuous integration and continuous delivery pipelines. Demonstrable experience working with open-source technologies (Kafka, Hadoop ecosystem, Docker, Kubernetes, Git, Jenkins). You should possess the ability to: Work autonomously while being open to learning and guidance when needed. Debug complex issues, analyze logs, and support operations in production environments. Ensure software solutions are robust, scalable, and secure. Collaborate effectively within an agile team setup and deliver high-quality results. What We Bring to the Table: An opportunity to work with cutting-edge open-source technologies and modern delivery pipelines. A collaborative and growth-focused environment where continuous learning is encouraged. The chance to contribute meaningfully to scalable, production-ready data engineering solutions. Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Asha Krishnan Phone: +31 20 369 0609 ; Extn :132 Email: asha.k@stafide.nl LinkedIn: Asha Krishnan
Location & Eligibility
Where is the job
Amsterdam, Netherlands
On-site at the office
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 52%
- Scored at
- May 6, 2026
Signal breakdown
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External application · ~5 min on stafide's site
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