Senior Data Engineer: SQL Mastery for Financial Data

Bank Julius Bär & Co. Ltd.; Comunidad de Madrid; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work option

Job summary

Julius Baer in Madrid invites a Senior Data Engineer to join our team. You will focus on SQL development, data modelling, and producing high-quality, business-critical datasets that support analytics and regulatory reporting.

The role involves building scalable SQL-driven transformations, maintaining data quality, and collaborating with cross-functional teams to align with enterprise data models and governance standards. Proficiency in Python and BI tools is highly valued.

Qualifications

• 5+ years in data engineering or SQL heavy backend roles.
• Experience with enterprise data models (Data Vault, dimensional, SCD, 3NF).
• Strong SQL development, testing, and data quality discipline.

Responsibilities

• Develop and optimize complex SQL transformations for analytics and regulatory needs.
• Build and maintain SQL-centric ETL/ELT pipelines.
• Collaborate with finance, risk, and analytics teams to translate requirements into data solutions.

Skills

Advanced SQL

Data modelling

Python automation

BI tooling

Data Vault

Stakeholder comms

Agile delivery

Education

Bachelor's or Master's in CS/IS/SE

Tools

Tableau

Power BI

Airflow

Job description

Julius Baer in Madrid invites a Senior Data Engineer to join our team. You will focus on SQL development, data modelling, and producing high-quality, business-critical datasets that support analytics and regulatory reporting.

The role involves building scalable SQL-driven transformations, maintaining data quality, and collaborating with cross-functional teams to align with enterprise data models and governance standards. Proficiency in Python and BI tools is highly valued.