?We are looking for the very Top Talent…and we would be delighted if you were to join our team

More in details, UST is a multinational company based in North America, certified as a Top Employer company with over 35.000 employees all over the world and presence in more than 30 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

? What are we looking for?
We are currently looking for a Senior Data Engineer with strong expertise in SQL development, data modeling, and stakeholder collaboration to join a strategic project within the banking sector.

?Location: Hybrid. Madrid city center (Sol area). 3 days a week in the office.
?Language: English is a must. Spanish desirable.

?Key Responsibilities:
• Develop and optimize complex SQL transformations supporting analytics, reporting, and financial/regulatory requirements.
• Work with and enhance enterprise data models, including Data Vault, dimensional models, SCD, and 3NF structures.
• Ensure SQL code is performant, maintainable,



and aligned with data architecture standards.
• Implement data quality controls, testing frameworks, and validation rules.
• Maintain documentation, data lineage, and metadata management practices.
• Design, build, and maintain SQL-centric ETL/ELT pipelines.
• Develop ingestion processes for batch, incremental, and near real-time data flows.
• Leverage Python when beneficial for automation, workflow optimization, and API integrations.
• Support BI initiatives by creating datasets optimized for Tableau, Power BI, or similar platforms.
• Partner with Finance, Risk, Compliance, and business teams to translate requirements into robust data solutions.

✅ Mandatory requirements:
• 5+ years of experience in Data Engineering or SQL-heavy backend development roles.
• Expert-level SQL skills, including complex querying, performance tuning, and optimization.
• Strong experience with enterprise data modeling methodologies such as Data

📌 SQL Senior Data Engineer | Madrid
🏢 UST España & Latam
📍 Madrid