Data Platform Engineer - Snowflake, ODI & Kubernetes

Avaloq; Bioggio; Hybrid; CHF 110.000 - 150.000; Vollzeit

Zusammenfassung

Avaloq in Switzerland is seeking a Data Platform Engineer to contribute to the development and evolution of our data platform solutions supporting reporting, analytics, and data‑driven decision making across the organization.

You will design, develop, and maintain data integration pipelines using ODI, optimize Snowflake workloads, and deploy platform components on Kubernetes, with hybrid working options to support work‑life balance.

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent.
• Proven experience in data engineering / data platform development including ETL/ELT patterns and data integration architectures.
• Strong hands-on experience with PL/SQL in enterprise environments.
• Experience with large-scale databases (Oracle, PostgreSQL, MySQL, Microsoft SQL Server).
• Effective communication skills in English (written and spoken).

Aufgaben

• Contribute to the integration of Avaloq Core Platform (ACP) data into Data Platform solutions.
• Design, develop, and maintain data integration pipelines using ODI, including mappings, packages, and scenario lifecycle management.
• Design and support Snowflake data platform workloads, including data loading, transformation logic, and optimization of storage and compute usage.
• Deploy, manage, and monitor data platform components running on Kubernetes environments.

Kenntnisse

Data engineering

PL/SQL

Data integration

Databases

English fluency

Ausbildung

Bachelor's/Master's in CS/Engineering

Tools

Oracle ODI

Snowflake

Kubernetes

PostgreSQL

MySQL

Jobbeschreibung

Avaloq in Switzerland is seeking a Data Platform Engineer to contribute to the development and evolution of our data platform solutions supporting reporting, analytics, and data‑driven decision making across the organization.

You will design, develop, and maintain data integration pipelines using ODI, optimize Snowflake workloads, and deploy platform components on Kubernetes, with hybrid working options to support work‑life balance.