2 months ago
Zürich, SwitzerlandSenior
Responsibilities
- Design, develop, and enhance scalable cross-system data architectures, data models, and integration solutions.
- Translate business requirements into data structures, source-to-target mappings, transformation rules, and integration logic.
- Build and maintain data pipelines, APIs, and automated data processing workflows.
- Integrate and harmonize data from multiple systems into consistent, reusable information layers.
- Ensure data quality, governance, lineage, traceability, monitoring, and auditability.
- Advance automation and data foundations supporting AI use cases, including LLMs.
- Define and maintain metadata, reference-data logic, business keys, historization, versioning, and structural processing rules.
Requirements
- Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
- Significant practical data engineering experience in complex, business-critical environments.
- Strong hands-on capabilities with SQL, Microsoft Azure, Azure Data Factory, Snowflake, and APIs.
- Deep knowledge of data modeling, data architecture, systems integration, and ETL/ELT pipelines.
- Strong understanding of cross-system architecture, source-to-target mappings, and transformation logic.
- Experience with Git, virtual machines, and integration technologies such as SAP CPI.
- Familiarity with AI-enabled architecture and LLM integration.
- Familiarity with Treasury Management Systems such as ION and SAP S/4HANA is advantageous.
About ABB
ABB builds electrification, robotics, motion, and process automation hardware and software for industrial, utility, transportation, and infrastructure customers. Its portfolio spans motors and drives, robots, PLCs, switchgear, and EV charging, sold as equipment, systems, and services under the ABB Ability platform. Formed in 1988 and headquartered in Zurich, it is a public company traded on the SIX Swiss Exchange and NYSE.