🟣 You will be:
- Managing Kubernetes cluster serving ML models, preparing deployments and monitoring,
- Working with data ingestion and transformation,
- Preparing data schemas and feature stores,
- Implementing data platform components, responsible for data ingestion and data pipelines.
🟣 Your profile:
- 3+ years of professional experience as Data Engineer or DevOps Engineer working with data scientists,
- able to think analytically and critically, and good at solving problems creatively,
- understands projects from the business perspective on an advanced level,
- experience in Kubernetes – working with deployment charts, operators, nodes, autoscaling etc.
- experience in working with data-driven and event-driven applications, knowledge about Pub/Sub patterns and data pipeline orchestration,
- experience in data engineering, including data warehouses, data lakes and building data models,
- experience in cloud (preferably GCP, with BigQuery),
- fluent English communication skills (B2+).
🟣 Work from European Union region and work permit are required.
🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision
🎁 Benefits 🎁
✍ Development:
-
development budgets of up to 6,800 PLN,
- we fund certifications e.g.: AWS, Azure,
- access to Udemy, Safari Books Online and more,
- events and technology conferences,
- technology Guilds,
- internal training,
- Xebia Library,
- Xebia Upskill.
🩺 We take care of your health:
- private medical healthcare,
- multiSport card - we subsidise a MultiSport card,
- mental Health Support.
🤸♂️ We are flexible:
- flexible working hours,
- B2B or permanent contract,
- contract for an indefinite period.