Senior Data Engineer

Hybrid in Spain: Madrid

Data Software Engineering

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A Senior Data Engineer brings deep expertise in SQL development, data modeling, 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.

Responsibilities

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
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
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
Collaborate with platform and infrastructure teams to operate SQL workloads reliably in production
Apply engineering best practices: version control, documentation, testing, code quality

Requirements

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
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
English: fluent (written and spoken)
German and/or French: nice-to-have

Nice to have

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