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Our client is the global IT service provider for a global insurance company and delivers IT solutions that drive the digitalization of the Company Group. With more than 10,000 employees located in 36 countries around the globe, they work together with other insurance entities in leading IT for the worldwide digitalization of the Company. They are now hiring a BIG DATA SOLUTION ENGINEER.
Tasks
- Rollout the Clients Global Data Platform (GDP) to their customers and support the adaption of the technical services and the data capabilities
- Design the solutions of the complete use-case pipelines, from data ingestion to data processing, software deployment and feedback loop
- Understand and be able to explain advantages and disadvantages of the proposed solutions to internal and external stakeholders
- Build and maintain data driven applications on top of GDP
- Define and apply best practices based on their platform
- Contribute to improve the GDP stack and to define the final production environment
- Keep up with trends and evolving technology in the big data and analytics world
- Identify opportunities to improve performance, reliability and automation
- Write technical documentation, announcements, and blog posts about their platform on internal channels
Requirements
- Bachelor (BSc), Master (MSc) or equivalent experience in a technical field (for example, Computer Science, Engineering, etc.)
- DevOps mindset (you build it, you run it – taking responsibility for your work)
- Willingness and ability to learn new technologies and tools
- Team player – open to work in an agile environment
- Fluent English (written and spoken) is a must
- Capability of result oriented communication with people from different departments with different skill sets
Skills
- Theoretical and practical competency in running big data workloads in production at scale
- Familiar with data engineering patterns (Ingestion, Transformation, Storage, Consumption etc.)
- Event-based systems (deep knowledge on the Kafka confluent stack)
- Relational databases (e.g. Postgres)
- Graph databases (e.g. Neo4j, Stardog)
- Cloud storage (Azure Datalake or AWS S3 with EMR)
- Distributed systems (e.g. Spark)
- Knowledge graph (e.g. Stardog)
- Proficiency in at least one programming language (they have components written in Python, Angular, Clojure, Scala, Elm, etc.)
- Software engineering (micro services, design patterns, version control, automated testing, concurrent programming etc.)
- Continuous integration, deployment, and delivery
- Advanced experience with Linux
- Containerization and container orchestration (Docker & Kubernetes)
- General understanding of IT infrastructure, orchestration and IT security principles, especially on enterprise level
- Other languages (e.g. German, French, Italian, etc.)
What they offer
- Long term, stable position
- Excellent carrier perspective
- Liberal amount of Home Office
- Remote work is also an option
- Multinational environment
- Participation in a major strategic project in the life of a global insurance company
- A unique, agile corporate culture that offers room for your development
- Transparent corporate communication
