Senior Data Engineer - Platform

Ebury
Spain
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Enablement","Documentation","Collaboration","Continuous improvement"]

Own and evolve an analytics platform end-to-end, using Sigma as the core BI and visualization layer alongside dbt and BigQuery for modeling and warehousing. Define SDLC practices for analyst workflows, build self-service guardrails, and ensure metrics consistency across the BI stack. Provide observability for data products and optimize BI workload cost/performance, collaborating with the Data Platform team to deliver a cohesive platform experience.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Ebury
Ebury
2 days ago

Senior Data Engineer - Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own and evolve an analytics platform end-to-end, using Sigma as the core BI and visualization layer alongside dbt and BigQuery for modeling and warehousing. Define SDLC practices for analyst workflows, build self-service guardrails, and ensure metrics consistency across the BI stack. Provide observability for data products and optimize BI workload cost/performance, collaborating with the Data Platform team to deliver a cohesive platform experience.
Location: Spain
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

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

Pay and Benefits

Perks:Training

Key Requirements

  • •Platform engineering experience building internal platforms consumed by other teams, ideally analytics or BI platforms.
  • •Hands-on experience administering and scaling a modern BI tool (Sigma preferred; Looker or Tableau valued).
  • •Deep experience with dbt and BigQuery, including testing, performance, and 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:CommunicationEnablementDocumentationCollaborationContinuous improvement
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