Databricks Platform Engineer

Praha
Trvalý pracovní poměr
Plný úvazek

Před 12 dny
Snadno podejte žádost

Company descriptionGlobal financial institution with R&D development HUB in Prague. The company is using the most modern technology stack etc. Kubernetes, Openshift, cloud based technologies. Scrum based teams.ResponsibilitiesYou will join a dynamic team of data & automation engineers and architects, contributing to the definition and deployment of cloud data architecture, platform automation, and operational excellence. Your work will directly support business use cases in big data and advanced analytics across one of the world's leading financial exchanges.- Provision and configure Databricks workspaces using Terraform, CLI, and SDK.
- Manage workspace-level settings including clusters, libraries, compute policies, and access controls.
- Define and maintain catalogs, schemas, and tables across workspaces using Unity Catalog.
- Ensure the data platform is secure, scalable, and highly available.
- Contribute to the implementation of the Data Mesh paradigm across domains.
- Act as a technical advisor to data scientists, analysts, and business users.
- Drive onboarding, training, and enablement programs to scale platform adoption.
- Maintain technical documentation and contribute to Agile ceremonies and sprint planning.Requirements- Bachelor's degree in Computer Science, Data Engineering, or a related field.
- 5+ years of experience in cloud big data platforms, preferably Azure or GCP.
- Hands-on experience with Databricks, Delta Lake, and Spark; familiarity with Kafka, Flink, or similar frameworks is a plus.
- Experience building data pipelines using tools like Apache Airflow, Data Factory, or Apache Beam.
- Proficiency in Terraform, Python and CI/CD tools such as GitHub Actions.
- Strong understanding of data management, monitoring, security, and privacy.
- Excellent communication and collaboration skills across cross-functional teams.
- Fluent in English; additional language skills are a plus.Our offer- Bonuses
- Work mostly from home
- Flexible start/end of working hours
- Contributions to the pension / life insurance
- Contribution to sport / culture / leisure
- Education allowance
- Individual budget for personal growth
- Educational courses, trainings
- Transport allowance
- Meal tickets / catering allowance
- Cafeteria
- Refreshments on workplace
- Corporate events
- Holidays 5 weeks
- Sick days
- Notebook

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