Description

In this role, you will focus on establishing data standards and developing solutions for data harmonization. Your day-to-day responsibilities will involve managing data quality, automating workflows, and integrating new technologies to enhance the data strategy.

Requirements

• •University degree in Computer Science, Data Science, or comparable qualification
• •At least five years of professional experience in data management, AI platform engineering, or tooling
• •Deep understanding of data formats and interfaces (e.g., JSON, MCAP, Avro, API design, semantic models)
• •Hands-on experience in technical implementation of data harmonization and container-based formats
• •Solid knowledge of cloud architectures (mainly AWS) and container orchestration (Docker, Kubernetes)
• •Strong programming skills in Python and scripting for automation
• •Very good written and spoken English skills; knowledge of German is an advantage

Tasks

• •Define and implement data format standards
• •Create interoperable data interfaces and semantic models
• •Develop technical solutions for data harmonization
• •Automate mapping processes for data transformation
• •Convert diverse data sources into unified formats
• •Manage data validation, versioning, and metadata
• •Monitor data quality and manage retention policies
• •Optimize data inventories for efficiency
• •Oversee Data Request Management and identify missing data
• •Coordinate data requirements and implement technical integrations
• •Connect new data sources and integrate APIs
• •Automate ETL pipelines and data flows
• •Integrate processes into MLOps and DevOps toolchains
• •Automate workflows for data provisioning and governance
• •Evaluate emerging technologies for data strategy
• •Contribute to the evolution of data strategy

Tools & Technologies

Benefits