Data / ETL Engineer - People Analytics 80% - 100% (f/m/d) - (Contract through our external payroll partner with immediate start for 8 months)

Job Description:

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let's shape the future of wealth management together.

Join the People Analytics team to support the expansion of our HR data platform, focusing on data pipeline refactoring, integrations, and onboarding new data sources.

You will work with Workday, Dataiku, Tableau, and Trino/Presto to ensure scalable, automated, and high-quality data flows.

YOUR CHALLENGE

Data Engineering / ETL pipelines

* Build and refactor existing ETL/ELT pipelines with focus on reliability, performance, and maintainability
* Specifically, integrate data from CFO (SAP BW / S/4HANA) into the HR data warehouse; collaborate with Finance stakeholders to understand and translate data into People Analytics-ready datasets

Integrations & Connectors

* Develop and enhance data integrations and connectors (python) across the technology stack (Workday, Dataiku, Tableau)
* Standardize integration patterns and reduce technical debt

Drive & Collaboration

* Proactively drive your projects coordinating with colleagues across with HR and Finance

YOUR PROFILE

* Strong experience in data engineering / ETL / modelling with focus on pipelines maintainability and data quality practices
* Proven Python skills for data pipelines and integrations
* Experience with Dataiku or similar platforms (Databricks, Airflow, etc.)
* Experience in Banking / Finance industry and familiarity with SAP (BW/S4) are a plus
* You are hands-on, a self-starter, with strong stakeholder management, and structured ways of working

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.
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