Ebury

1 day ago

Analytics Engineer - Fintech

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Own a domain data warehouse and build trusted data products, including a semantic layer that enables AI agents and business stakeholders to consume data effectively. Partner with product and business teams under a Domain-Driven Design approach to define technical action plans, deliver data models with robust testing and CI/CD, and govern reliability. Orchestrate pipelines with Airflow (Cloud Composer) and create alerting to catch anomalies before they impact the business.

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Own and govern a domain data warehouse, setting standards, patterns, and practices for modeling, structuring, and consumption.
•Build a semantic layer that provides context and definitions so AI agents and business stakeholders can reuse trusted data assets.
•Partner with the business to gather requirements and define technical action plans for robust data products.
•Lead data projects from definition to delivery, including strategies for stakeholder impact and testing, while balancing strategy and execution.
•Monitor data product reliability, design alerting frameworks, and manage pipeline orchestration with Airflow (Cloud Composer).

Key Requirements

•2+ years in analytics engineering with experience in dbt, SQL, and data modeling for reliable, maintainable data products.
•High proficiency in SQL, including building, robustly testing, and optimizing complex models.
•Strong understanding of what makes data products trustworthy, maintainable, and valuable to end users.
•Finance domain knowledge, including P&L, FX, exposure, and reconciliation.
•Experience with (or strong interest in) Domain-Driven Design and how it shapes ownership and data structure.

Experience:2+ yearsFintech

Skills:CollaborationProblem-solvingCommunicationOwnership

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

Website LinkedIn

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Ebury

1 day ago

Analytics Engineer - Fintech

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Own and govern a domain data warehouse, setting standards, patterns, and practices for modeling, structuring, and consumption.
•Build a semantic layer that provides context and definitions so AI agents and business stakeholders can reuse trusted data assets.
•Partner with the business to gather requirements and define technical action plans for robust data products.
•Lead data projects from definition to delivery, including strategies for stakeholder impact and testing, while balancing strategy and execution.
•Monitor data product reliability, design alerting frameworks, and manage pipeline orchestration with Airflow (Cloud Composer).

Key Requirements

•2+ years in analytics engineering with experience in dbt, SQL, and data modeling for reliable, maintainable data products.
•High proficiency in SQL, including building, robustly testing, and optimizing complex models.
•Strong understanding of what makes data products trustworthy, maintainable, and valuable to end users.
•Finance domain knowledge, including P&L, FX, exposure, and reconciliation.
•Experience with (or strong interest in) Domain-Driven Design and how it shapes ownership and data structure.

Experience:2+ yearsFintech

Skills:CollaborationProblem-solvingCommunicationOwnership

Languages:EnglishSpanish

Tech Stack:SQLDbtAirflowCloud ComposerCI/CDVersion control

Company Brief

Ebury

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: London, United Kingdom

Founded: 2009

Website LinkedIn