The Role
Design, develop, and maintain scalable data ingestion, storage, processing, and security solutions. Build and support CI/CD pipelines and production operations (debugging, logs, monitoring). Work with open-source stack (Kafka, Hadoop ecosystem, Docker, Kubernetes) and ensure robust, production-ready software in an agile startup environment while documenting and preventing technical debt.
Summary Generated by Built In
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: [email protected]
LinkedIn: Asha Krishnan
Phone: +31 20 369 0609 ; Extn :132
Email: [email protected]
LinkedIn: Asha Krishnan
Skills Required
- 8-10 years 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
- Experience with open-source technologies: Kafka, Hadoop ecosystem (HDFS, Hive, Impala), Docker, Kubernetes, Git, Jenkins
- Ability to debug complex issues, analyze logs, and support production operations
- Experience working in an agile, startup-oriented environment and contributing to documentation and technical debt prevention
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
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