Client: Global Life Insurance Company

We are looking for a Big Data Solution Engineer who is as passionate about our vision as we are. This includes the following responsibilities:

Rollout the Allianz Global Data Platform (GDP) to our 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 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 our platform
Contribute to improve the GDP stack and define the final production environment
Keep up with trends and evolving technology in the big data and analytics world
Look for opportunities to improve performance, reliability and automation
Write technical documentation, announcements, and blog posts

Technical Skills:

Our platform is a diverse product consisting of several technologies. This characteristic should be reflected in our cross functional team of individuals who have a deep understanding of their technical specialty and at the same time are able to work outside of their core area. We encourage to contribute your individual strengths and personality to the team and give you the room to develop some new skills and experiences. The following technical skills are required for this particular position:

Data Engineering (using the tools to build data-driven solutions)
Competence in running big data workloads in production at scale
Data Engineering Pattern (Ingestion, Transformation, Storage, Consumption etc.)
Event-based systems (deep knowledge on the Kafka confluent stack)
Databases (e.g. PostgreSQL, Neo4J, Stardog)
Cloud Storage (Azure Datalake or AWS S3 with EMR)
Distributed systems (e.g. Spark)
Knowledge Graph (e.g. Stardog)

Software Development

Proficiency in at least one programming language (we have components written in Angular, Coljure, Python, Scala, Elm etc.)
Software engineering (micro services, design patterns, version control, automated testing, concurrent programming etc.)
Continuous integration, deployment, and delivery

General IT Skills

Advanced Experience with Linux
Containerization / Container Orchestration (Docker & Kubernetes)
General understanding of Infrastructure, Orchestration and IT Security Principles (especially on an enterprise level)

Other Skills

Bachelor (BSc), Master (MSc) or equivalent experience in a technical field (for example, Computer Science, Engineering...)
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, other languages (e.g. German, French, Italian, etc.) are a plus
Capability of result oriented communication with people from different departments with different skill sets