Analytics Engineer - Fintech

Ebury
Madrid, Malaga
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 2+ yearsSkills: ["Collaboration","Problem-solving"]

Own and govern a domain data warehouse and semantic layer, turning raw domain data into trusted, reusable data products for business and AI agents. Lead end-to-end delivery of data products under a Domain-Driven Design approach, including alerting for anomalies and hands-on, tested data modeling. Build maintainable dbt/SQL models with modern engineering practices, orchestrate pipelines with Airflow (Cloud Composer), and collaborate on best practices across the platform.

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FursaFursa
Ebury
Ebury
2 days ago

Analytics Engineer - Fintech

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own and govern a domain data warehouse and semantic layer, turning raw domain data into trusted, reusable data products for business and AI agents. Lead end-to-end delivery of data products under a Domain-Driven Design approach, including alerting for anomalies and hands-on, tested data modeling. Build maintainable dbt/SQL models with modern engineering practices, orchestrate pipelines with Airflow (Cloud Composer), and collaborate on best practices across the platform.
Location: Madrid, Malaga
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Be the owner of a domain data warehouse, defining standards, patterns, and practices for how data is modeled, structured, and consumed.
  • •Build the semantic layer that provides context and structure for AI agents and business stakeholders to leverage data effectively.
  • •Partner with the business to gather requirements, define technical action plans, and lead data product projects from definition to delivery.
  • •Proactively govern and monitor data products for reliability, including designing and proposing alerting frameworks for anomalies.
  • •Develop and maintain hands-on data models using modern software engineering practices (testing, CI/CD, version control, code review, documentation) and manage pipeline orchestration with Airflow (Cloud Composer).

Key Requirements

  • •2+ years in analytics engineering with a strong background in dbt, SQL, and data modeling, and an understanding of what makes data products trustworthy and maintainable.
  • •High proficiency in SQL to build, robustly test, and optimize complex models.
  • •Strong understanding of creating trustworthy, maintainable, valuable data products for end users.
  • •Finance domain knowledge, including P&L, FX, exposure, and reconciliation.
  • •Experience with (or strong curiosity for) Domain-Driven Design and how it shapes team ownership and data structure.
Experience:2+ years
Skills:CollaborationProblem-solving
Languages:EnglishSpanish
Tech Stack:SQLDbtAirflowCloud ComposerCI/CDVersion control

Company Brief

Ebury
Provides international payments, FX, and treasury solutions for SMEs and mid-market companies, enabling cross-border transactions, multi-currency accounts, and financing services to support global trade and cash flow management.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: London, United Kingdom
Founded: 2009
WebsiteLinkedIn