Ebury

1 day ago

Senior Analytics Platform Engineer

✓ 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 and evolve an analytics platform end-to-end for trusted BI and visualization at scale. Manage the SDLC for analyst workflows across dbt and BigQuery, build self-service guardrails, and ensure metrics consistency across the warehouse, semantic models, and BI layer. Provide observability for analyst-facing data products and optimize BI workloads on BigQuery, collaborating with the broader Data Platform team to deliver a coherent platform experience.

Location: Madrid, Malaga

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Own and evolve the analytics platform end-to-end, including administration, governance, versioning, and best practices for Sigma.
•Define and manage the SDLC for analyst workflows across dbt and BigQuery, covering development standards, testing, code review, CI/CD, and releases.
•Build frameworks and guardrails for self-service analytics, ensuring dashboards and datasets are discoverable, documented, governed, and trustworthy.
•Champion metrics consistency across the organisation, aligning business definitions between the warehouse, semantic models, and BI layer.
•Provide observability for analyst-facing data products (usage, freshness, data quality signals) and support cost/performance optimisation of BI workloads on BigQuery.

Pay and Benefits

Perks:Annual Bonus

Key Requirements

•Experience building internal platforms used by other teams, ideally analytics or BI platforms.
•Hands-on administration and scaling of a modern BI tool (Sigma strongly preferred; Looker or Tableau valued).
•Deep experience with dbt and BigQuery, including project structuring, testing strategies, and performance/cost optimisation.
•Strong SQL proficiency and solid Python skills for tooling and automation.
•Experience establishing SDLC practices for analytics teams, including Git workflows, CI/CD, testing, and documentation standards.

Experience:FintechOpen source

Skills:CommunicationDocumentationEnablementSelf-motivationContinuous improvement

Languages:EnglishSpanish

Tech Stack:SigmaDbtBigQueryLookerTableauSQLPythonGitCI/CDGCP

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

Loading job details...

Preparing the role view and application actions.

Ebury

1 day ago

Senior Analytics Platform Engineer

✓ 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, Malaga

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Own and evolve the analytics platform end-to-end, including administration, governance, versioning, and best practices for Sigma.
•Define and manage the SDLC for analyst workflows across dbt and BigQuery, covering development standards, testing, code review, CI/CD, and releases.
•Build frameworks and guardrails for self-service analytics, ensuring dashboards and datasets are discoverable, documented, governed, and trustworthy.
•Champion metrics consistency across the organisation, aligning business definitions between the warehouse, semantic models, and BI layer.
•Provide observability for analyst-facing data products (usage, freshness, data quality signals) and support cost/performance optimisation of BI workloads on BigQuery.

Pay and Benefits

Perks:Annual Bonus

Key Requirements

•Experience building internal platforms used by other teams, ideally analytics or BI platforms.
•Hands-on administration and scaling of a modern BI tool (Sigma strongly preferred; Looker or Tableau valued).
•Deep experience with dbt and BigQuery, including project structuring, testing strategies, and performance/cost optimisation.
•Strong SQL proficiency and solid Python skills for tooling and automation.
•Experience establishing SDLC practices for analytics teams, including Git workflows, CI/CD, testing, and documentation standards.

Experience:FintechOpen source

Skills:CommunicationDocumentationEnablementSelf-motivationContinuous improvement

Languages:EnglishSpanish

Tech Stack:SigmaDbtBigQueryLookerTableauSQLPythonGitCI/CDGCP

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