Senior Analytics Platform Engineer

Ebury; Madrid, Málaga; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary bonus

Hybrid work

Training & certification

Open Source friendly

Descripción de la vacante

Ebury Madrid is seeking a Senior Analytics Platform Engineer to join our Data Platform Engineering team. You will own the Analytics Platform, shaping the tools, frameworks, and standards that empower analysts to deliver trusted insights at scale.

You’ll manage BI stack lifecycle using Sigma, dbt and BigQuery as core tools. You will define SDLC for analytics workflows, build self-service analytics guardrails, ensure data governance and metrics consistency, and upskill our Data Analyst community

Formación

• Experience building and operating analytics platforms and BI tooling.
• Strong SQL and Python for tooling and automation.
• Experience with analytics SDLC, CI/CD, and data governance concepts.
• Hands-on with Sigma; familiarity with Looker/Tableau is a plus.
• Fluent English; Spanish is a plus.

Responsabilidades

• Own and evolve the analytics platform end-to-end, with Sigma as the core BI tool.
• Define and manage the SDLC for analytics workflows across dbt and BigQuery.
• Build frameworks and guardrails for self-service analytics and documented dashboards.
• Ensure metrics consistency between warehouse, semantic models and BI layer.
• Upskill the Data Analyst community and promote analytics-engineering practices.
• Provide observability for data products: usage, freshness, and data quality signals.
• Collaborate with Data Platform team to deliver a coherent platform experience.

Conocimientos

SQL

Python

Platform engineering

Communication

Git workflows

GCP

Self-motivation

Learning mindset

English

Herramientas

Sigma

dbt

BigQuery

Looker

Tableau

Descripción del empleo

Ebury Madrid is seeking a Senior Analytics Platform Engineer to join our Data Platform Engineering team. You will own the Analytics Platform, shaping the tools, frameworks, and standards that empower analysts to deliver trusted insights at scale.

You’ll manage BI stack lifecycle using Sigma, dbt and BigQuery as core tools. You will define SDLC for analytics workflows, build self-service analytics guardrails, ensure data governance and metrics consistency, and upskill our Data Analyst community