EuroHUB Senior Data Engineer 100% (f/m/d)

Julius Baer; Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

Julius Baer seeks a Senior Data Engineer in Madrid to deliver SQL-driven data transformations and robust data pipelines. You will model data, ensure quality, and collaborate with finance, risk, and business teams to enable reliable analytics and regulatory reporting.

Strong Python skills and experience with Tableau/Power BI are valuable assets in this role, with a focus on production-grade data platforms and governance.

Qualifications

• Expert level SQL with complex queries and optimization.
• Experience extending data models (Data Vault, dimensional, SCD, 3NF).
• Strong track record building scalable SQL-driven transformations.
• Python for automation, APIs, and workflow enhancement.
• Experience with Tableau, Power BI, or similar BI tools.
• Banking or financial services background is advantageous.
• Bachelor's or Master's degree in a relevant field; fluent English.

Responsibilities

• Develop and optimize complex SQL transformations supporting analytics, reporting, and regulatory needs.
• Contribute to enterprise data models (Data Vault, dimensional, 3NF, domain structures).
• Ensure performant, maintainable SQL aligned with standards and tests.
• Build and maintain SQL-centric ETL/ELT pipelines; enable automation with Python.
• Support BI readiness: data preparation and dashboard troubleshooting.
• Collaborate with finance, risk, compliance, and business teams to translate requirements into data solutions.
• Operate SQL workloads in production with reliable monitoring and governance.

Skills

SQL

Data Modelling

Python

BI Tools

ETL/ELT

Data Vault

3NF

Tableau/Power BI

Banking experience

Agile delivery

Stakeholder communication

Data quality

Automation

SCD

English fluent

Education

Bachelor's or Master's degree in a relevant field

Tools

Temenos T24/Transact

Temenos Triple'A

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.

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. Experience in banking or financial environments is a strong advantage.
Python knowledge and BI tool experience (e.g., Tableau, Power BI) are valuable pluses that support automation, data preparation, and efficient analytics delivery.

YOUR CHALLENGE

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
• Maintain clear documentation, lineage, and metadata to support transparency and governance
• 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
• Assisting dashboard/report designers with troubleshooting, prototyping, and governance

Cross Functional Collaboration

• 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
• Support troubleshooting across ingestion, modelling, and operational processes
• Contribute to platform evolution, engineering improvements, and roadmap initiatives
• Communicate effectively with both technical and business stakeholders

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

YOUR PROFILE

• 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
• Experience working in banking, financial services, or regulated environments is a strong advantage
• Commitment to building reliable, maintainable, and well tested data solutions
• Strong focus on quality, monitoring, reliability, and automation
• Ownership mentality across the data lifecycle
• Ability to refine requirements and collaborate with technical and business teams
• Creative, proactive, and improvement oriented approach
• Strong communication and stakeholder engagement abilities
• Analytical, detail oriented, and proactive problem solver
• 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
• Experience in finance or banking is a strong advantage
• English: fluent (written and spoken)

Nice to have:

• Experience with Temenos T24/Transact, Temenos Triple'A, or similar core banking platforms