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.
The Data Engineer ensures reliable, high-quality data delivery through the
operation and continuous improvement of automated analytics workflows.
Combining technical depth with a collaborative mindset, this role supports sales
and client-facing teams with accurate, timely, and actionable insights—powered
by automation and smart tools.
YOUR CHALLENGE
- Operate and maintain daily data processing jobs in Dataiku, ensuring stability, accuracy, and performance of ETL/ELT pipelines
- Support, monitor, and enhance existing Tableau dashboards and data sources used by business stakeholders
- Produce and review logical and physical data models with multiple data sources
- Define reusable tables including business logic which can be adopted across large sets of projects
- Identify and resolve data quality issues, integrating automated validation and alerting mechanisms
- Collaborate with IT, Architecture, data stewards, and business partners to ensure seamless delivery and alignment, including IT artifacts and governance approvals
- Implement automation solutions using Python, Excel (VBA, Power Query), and platform-native features to reduce manual effort
- Leverage AI and ML data analytics tools for processing natural language data and run experimental analytics with more complex models
- Leverage AI-enabled tools (e.g., Microsoft 365 Copilot, Dataiku AutoML) for faster reporting, documentation, and diagnostics
- Maintain detailed process documentation, runbooks, and metadata records to ensure knowledge continuity
- Share best practices and support team members in advancing data literacy and tool usage
YOUR PROFILE
- Proven experience with Dataiku (flow management, monitoring, scenarios) and Tableau (workbook maintenance, data extracts)
- Advanced skills in Excel, including macros (VBA), Power Query, and dynamic array functions
- Programming in Python (pandas, openpyxl) and solid understanding of SQL
- Strong analytical and problem-solving abilities with exceptional attention to detail
- Familiarity with intelligent automation and practical applications of AI-assisted tools in business environments
- Team-oriented mindset with clear communication skills—able to bridge technical and non-technical audiences
- Fluent in English; German is an asset for internal collaboration
- Advantage: Basic understanding of private banking, sales reporting, or client relationship data
- Advantage: experience with front-end development, experience surveys platforms
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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