Senior Data Engineer - Analytics Platform

Ebury
Madrid, Malaga
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Self-motivation","Curiosity","Communication","Enablement","Collaboration"]

Own and evolve an analytics platform end-to-end, using Sigma as the core BI and visualization tool and dbt with BigQuery for modeling and warehousing. Define SDLC practices for analyst workflows (testing, code review, CI/CD, release processes), build self-service guardrails, ensure metrics consistency, and provide observability for data products. Collaborate with the Data Platform team to drive continuous improvements in the modern BI stack.

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FursaFursa
Ebury
Ebury
20 hours ago

Senior Data Engineer - Analytics Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Own and evolve an analytics platform end-to-end, using Sigma as the core BI and visualization tool and dbt with BigQuery for modeling and warehousing. Define SDLC practices for analyst workflows (testing, code review, CI/CD, release processes), build self-service guardrails, ensure metrics consistency, and provide observability for data products. Collaborate with the Data Platform team to drive continuous improvements in the modern BI stack.
Location: Madrid, Malaga
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own and evolve the analytics platform end-to-end with Sigma as the core BI and visualization tool, including governance, versioning, and best practices.
  • •Define and manage SDLC for analyst workflows across dbt and BigQuery, including development standards, testing, code review, CI/CD, and release processes.
  • •Build frameworks and guardrails enabling self-service analytics, ensuring dashboards and datasets are discoverable, documented, governed, and trustworthy.
  • •Champion metrics consistency across the organization across the warehouse, semantic models, and BI layer.
  • •Provide observability for analyst-facing data products, including usage analytics, freshness, data quality signals, and cost/performance optimization on BigQuery.

Key Requirements

  • •Platform engineering experience building internal platforms consumed by other teams, ideally analytics or BI platforms.
  • •Hands-on expertise administering and scaling a modern BI tool (Sigma preferred; Looker/Tableau valued).
  • •Deep experience with dbt and BigQuery, including project structuring, testing strategies, and performance/cost optimization.
  • •Strong SQL proficiency and solid Python skills for tooling and automation.
  • •Experience establishing SDLC practices for analytics teams (Git workflows, CI/CD, testing, and documentation standards).
Experience:Fintech
Skills:Self-motivationCuriosityCommunicationEnablementCollaboration
Languages:EnglishSpanish
Tech Stack:SigmaDbtBigQuerySQLPythonGitCI/CDGCPLookerTableau

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