Client: Global Life Insurance Company

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

Understand and translate business needs into data models for big data uses cases and data lakes
Work with the rest of the development team to implement data strategies, build data flows/pipelines and develop data models
Create logical, conceptual and physical data models using best practices to ensure high data quality and reduced redundancy
Develop best practices for standard naming conventions and coding practices to ensure consistency of data models
Perform reverse engineering of physical data models from databases and SQL scripts
Evaluate data models and physical databases for variances and discrepancies
Validate business data objects for accuracy and completeness
Analyze data-related system integration challenges and propose appropriate solutions
Write technical documentation

Technical Skills:

The Allianz Global Data Platform is a diverse product consisting of several technologies. This characteristic is 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 Modelling

2 years plus direct modelling experience on commercial projects ideally on cloud platforms using a variety of methodologies and approaches
Must have hands on experience in both SQL and Non SQL modelling - Data Vault 2.0, Dimensional Modelling, JSON, Key Value stores using industry standard tooling
Data Engineering
Experience with Data Engineering Patterns (Ingestion, Transformation, Storage, Consumption etc.)
Experience with complex data pipeline development
Experience with Data Governance and Quality concepts and tools
Experience with Data Virtualization concepts and tools (e.g. Tibco, denodo)
General IT Skills
Experience with Linux
Experience with a public cloud platform (Amazon AWS Cloud or MS Azure)
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...)
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

Big Data Modeller