Treasury Data Engineer

ABB Schweiz AG; Zürich; Vor Ort; CHF 110.000 - 170.000; Vollzeit

Zusammenfassung

ABB Schweiz AG in Zürich sucht eine erfahrene Data Engineer im Treasury, um eine skalierbare Datenlandschaft zu gestalten und Analytik, Reporting, Automatisierung sowie KI-gestützte Entscheidungen zu unterstützen.

Sie arbeiten eng mit Treasury, Technologie und Geschäftsbereichen zusammen, übersetzen Anforderungen in datengetriebene Lösungen, integrieren Datenquellen und sichern Qualität, Governance und Nachverfolgbarkeit.

Qualifikationen

• Bachelor's or Master's degree in CS, Data Engineering, IS, or related field.
• Hands-on experience in SQL, Microsoft Azure, Azure Data Factory, Snowflake, and APIs.
• Strong knowledge of data modeling, architecture, integration, and ETL/ELT pipelines.
• Experience with Git, CI/CD, virtual machines and SAP CPI.
• Familiarity with AI-enabled architecture and LLM integration.
• Experience with Treasury Management Systems such as ION and SAP S/4HANA is a plus.

Aufgaben

• Design, develop, and enhance scalable cross-system data architectures 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 to support AI use cases, including LLMs.
• Define and maintain metadata, reference-data logic, business keys, historization, versioning, and structural processing rules.

Kenntnisse

SQL

Azure

Azure Data Factory

Snowflake

APIs

Data modeling

Data architecture

ETL/ELT

Git

CI/CD

Virtual machines

SAP CPI

LLM integration

Ausbildung

CS / Data Eng degree

Tools

Git

CI/CD

Virtual machines

SAP CPI

Jobbeschreibung

Bei ABB unterstützen wir Industrien dabei, effizienter und sauberer zu arbeiten - und jede einzelne Person trägt hier dazu bei. Wir bieten allen Mitarbeitenden die Möglichkeit, Verantwortung zu übernehmen und die eigene Entwicklung aktiv voranzutreiben. Gemeinsam entstehen Lösungen, auf die alle stolz sein können. Wir suchen engagierte Talente, um gemeinsam die Welt voranzutreiben.

Diese Position berichtet an: Head Treasury Performance and Risk Analytics

Join the Treasury Performance and Risk Analytics team and help to shape a scalable data landscape that supports analytics, reporting, automation, and AI-enabled decision-making. In this role, you will build robust data foundations, improve data transparency and quality, and enable consistent, trusted information across systems and processes.

You will work closely with Treasury, Technology, and business stakeholders to translate requirements into scalable data solutions, integrating data across platforms and ensuring it is fit for operational, analytical, and risk management purposes.

Your Role & 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.

Your Background

• 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, with 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.
• Experience with Treasury Management Systems such as ION and SAP S/4HANA is considered an advantage.

This is an opportunity to play a key role in shaping Treasury's next‑generation data capabilities, advancing innovation, and enabling data‑driven decision‑making in a global and collaborative environment. If building scalable data solutions and enabling informed decision‑making through reliable data motivates you,

Die Zukunft wird sauberer und intelligenter durch vielfältige Talente - neugierige, mutige und kreative. Wir schätzen Menschen mit unterschiedlichem persönlichem Hintergrund und Erfahrungen.

Bereit, gemeinsam etwas zu bewegen?