Mid-Level Cloud Data Platform Engineer – GCP & DevOps
W skrócie
Mid-Level Cloud Data Platform Engineer in Krakow (hybrid). Focus on building and maintaining scalable cloud data solutions, CI/CD, automation, and SRE practices. Requires 3+ years in DevOps/Data Engineering/Cloud, GCP, Terraform, Bash, Python, Jenkins, GitHub, Nexus, Ansible.
Skrót przygotowany przez AI na podstawie treści ogłoszenia.
Unleash innovation at the forefront of data engineering — shape scalable, resilient, and compliant cloud solutions!
Krakow-based opportunity with hybrid work model.
As a Mid-Level Cloud Data Platform Engineer, you will be working for our client in the financial sector, focusing on developing and maintaining robust data platforms within a hybrid infrastructure. You will contribute to advancing CI/CD processes, automation practices, and cloud deployment patterns, helping to build secure and efficient data solutions that drive strategic insights and operational resilience.
Your main responsibilities:
Maintain and enhance CI/CD tooling such as Jenkins, GitHub, Nexus, and Ansible to ensure smooth development pipelines.
Develop and optimize CI/CD pipelines to streamline software delivery.
Contribute to the creation of shared services components and deployment patterns on GCP.
Automate resilience and compliance checks to meet industry standards.
Support the development and implementation of SRE practices to improve system reliability and efficiency.
You're ideal for this role if you have:3+ years of experience in DevOps, Data Engineering, or Cloud Platform engineering.
Strong knowledge of CI/CD tools (Jenkins, GitHub, Nexus, Ansible).
Practical understanding of cloud platforms, with a preference for GCP, including deployment, optimization, and security best practices.
Infrastructure as Code experience with Terraform.
Programming skills in Bash and Python.
Linux administration proficiency.
Solid understanding of networking principles and system automation.
Familiarity with SRE, Service Management, and Application lifecycle management.
Excellent communication and collaboration skills.
Strong problem-solving attitude.
It is a strong plus if you have:
Experience working within highly regulated environments.
Skills in Kubernetes.
Background in Data Engineering and associated tooling (Airflow, Spark).
Language Required for the role:
Communicative English.
Eligibility for the role:
Only candidates with an existing legal right to work in the European Union will be considered for this role.#MAKE
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- Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
| Opublikowana | 2026-09-10 |
| Wygasa | 2026-12-09 |
| Źródło |
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