Treasury Data Engineer
Technology, Data & Digital · Data, AI & Analytics · Data Engineering
In short
ABB seeks a Treasury Data Engineer to develop scalable data architectures and pipelines supporting analytics, reporting, and AI. Responsibilities include data modeling, integration, quality assurance, and advancing automation. Requires a Bachelor's or Master's degree and significant experience with SQL, Azure, Azure Data Factory, Snowflake, and APIs.
Responsibilities
- Design, develop, and enhance scalable cross-system data architectures, models, and integration solutions.
- Translate business requirements into robust data structures, source-to-target mappings, transformation rules, and integration logic.
- Build and maintain reliable data pipelines, APIs, and automated data processing workflows.
- Integrate and harmonize data from multiple systems to create consistent and reusable information layers.
- Ensure high standards of data quality, governance, lineage, traceability, monitoring, and auditability.
- Advance automation and ongoing improvement initiatives, with data foundations designed to support AI use cases, including LLMs.
- Define and maintain metadata, reference-data logic, business keys, historization, versioning, and structural processing rules required for controlled and scalable data management.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
- Significant practical experience in data engineering within complex, business-critical environments.
- Strong hands-on capabilities in 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, CI/CD, virtual machines and integration technologies such as SAP CPI.
- Familiarity with AI-enabled architecture and LLM integration.
Desired Qualifications
- Experience with Treasury Management Systems such as ION and SAP S/4HANA is considered an advantage.
Benefits
- Opportunity to play a key role in shaping Treasury’s next-generation data capabilities.
- Advance innovation and enable data-driven decision-making in a global and collaborative environment.
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