EuroHUB Senior Data Engineer 100%

Madrid

Live, first seen by us 14 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Develop and optimize complex SQL transformations for analytics and regulatory reporting
Build and maintain SQL-centric ETL/ELT data pipelines
Implement data quality checks, validation rules and SQL testing
Maintain documentation, lineage and metadata for governance
Translate finance, risk and compliance requirements into data solutions

From the employer’s posting

Develop and optimize complex SQL transformations supporting analytics, reporting, and financial/regulatory needs

Build and maintain SQL centric ETL/ELT data pipelines

Implement and maintain data quality checks, validation rules, and SQL testing

Maintain clear documentation, lineage, and metadata to support transparency and governance

Partner with finance, risk, compliance, and business teams to translate requirements into high quality data solutions

Education & alternatives

- 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

Apply at Julius Baer

Posting record

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Status in our records: Live
First seen by us: Oct 20, 202614 days ago
Recorded sightings: 33
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 14

Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Julius Baer is hiring

14 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down at a usual pace
7% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Power BI
Tableau

Where the posting names them

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

- 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

- 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

YOUR CHALLENGE SQL Development & Data Modelling - Develop and optimize complex SQL transformations supporting analytics, reporting, and financial/regulatory needs

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)

- 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

- 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

Data Pipelines & Integration Engineering - Build and maintain SQL centric ETL/ELT data pipelines - Use Python where beneficial for automation, API integration, or workflow efficiency

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

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)

- 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

- 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

- 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

Business Intelligence Enablement Experience with Tableau or other BI tools is a strong plus, especially for: - Structuring SQL datasets optimized for BI consumption

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

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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