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. Senior Data Engineer brings deep expertise in SQL development, data modelling, and stakeholder collaboration to deliver high quality, reliable, and business critical datasets. The role centers on building and optimizing SQL driven data transformations, supporting analytical, operational, and regulatory reporting needs. Python knowledge and BI tool experience (e.g., Tableau, Power BI) are valuable pluses that support automation, data preparation, and efficient analytics delivery.
SQL Development & Data Modelling
Develop and optimize complex SQL transformations supporting analytics, reporting, and financial/regulatory needs
Work with and contribute to existing enterprise data models (Data Vault, dimensional, 3NF, domain driven structures)
Ensure SQL logic is performant, maintainable, and aligned with modelling standards
Implement and maintain data quality checks, validation rules, and SQL testing
Support reduction of architectural debt and help maintain a clean, consistent data environment
Data Pipelines & Integration Engineering
Build and maintain SQL centric ETL/ELT data pipelines
Use Python where beneficial for automation, API integration, or workflow efficiency
Implement ingestion patterns for batch, incremental, and near real time data flows
Ensure monitoring, observability, and reliable operation of data workflows
Business Intelligence Enablement
Experience with Tableau or other BI tools is a strong plus, especially for:
Structuring SQL datasets optimized for BI consumption
Supporting data preparation, extract logic, and backend performance
Partner with finance, risk, compliance,



and business teams to translate requirements into high quality data solutions
Work closely with data architects to ensure alignment with modelling standards
Data Platform & Operational Excellence
Collaborate with platform and infrastructure teams to operate SQL workloads reliably in production
Apply engineering best practices: version control, documentation, testing, code quality
Expert level SQL (complex queries, tuning, optimization)
~ Experience working with and extending established data models (Data Vault, dimensional, SCD, 3NF)
~ Strong experience developing scalable SQL driven transformations
~ Python is a strong plus for automation, API integrations, and workflow enhancement
~ Experience with Tableau, Power BI, or other BI tools is a strong plus
~ Commitment to building reliable, maintainable, and well tested data solutions
~ Strong focus on quality, monitoring, reliability, and automation
~ Ownership mentality across the data lifecycle
~ Comfortable in agile, iterative delivery environments
~ Bachelor’s or Master’s degree in a relevant field
~5+ years in data engineering or SQL heavy backend roles
~ Proven experience working with structured enterprise data models
~ English: fluent (written and spoken)

At Julius Baer our employees enjoy the benefits of a general company with the support and collegiality of a much smaller one. Committed to your success Whether nurturing young talent with our renowned apprentice scheme, enabling ambitious university graduates to put theory into practice with our Graduate Programme, or providing first-class opportunities for experienced professionals, we look after our employees. We believe in continuous learning as a company and as individuals, which is why we put a focus on the health and well-being of our employees and offer flexible working options, a wide array of benefits, and extensive career development programmes.

📌 Senior Data Engineer (Madrid)
🏢 Bank Julius Bär Ltd.
📍 Madrid