Senior Data Engineer - Analytics Platform

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

Madrid

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.

Madrid Office - Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking a Senior Analytics Platform Engineer to join our Data Platform Engineering team! Our mission is to develop, maintain and improve Ebury's Data Platform — this role owns the Analytics Platform: the tools, frameworks, and standards that empower our Data Analysts to deliver trusted insights at scale. You will manage the full lifecycle of our BI and visualization stack, built on Sigma, together with dbt and BigQuery as the core modelling and warehousing tools, and help evolve how analysts work — bringing software engineering practices into the analytics workflow.

Responsibilities

• Own and evolve Ebury's analytics platform end-to-end, with Sigma as the core BI and visualization tool — administration, governance, versioning, and best practices
• Define and manage the SDLC for analyst workflows across dbt and BigQuery: development standards, testing, code review, CI/CD, and release processes
• Build the frameworks and guardrails that enable self-service analytics — ensuring dashboards and datasets are discoverable, documented, governed, and trustworthy
• Champion metrics consistency across the organisation, ensuring business definitions are aligned between the warehouse, semantic models, and BI layer
• Support and upskill the Data Analyst community, helping them adopt analytics-engineering practices (version control, testing, modular modelling) as their ways of working evolve
• Provide observability for analyst-facing data products: usage analytics, freshness, data quality signals, and cost/performance optimisation of BI workloads on BigQuery
• Collaborate closely with the rest of the Data Platform team — scheduler & infra, semantic layer, and AI platform — to deliver a coherent platform experience for all data domains
• Drive continuous improvement by evaluating emerging BI and analytics tooling, patterns, and best practices in the modern data stack

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
• 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 strongly preferred; experience with comparable tools such as Looker or Tableau also valued)
• Deep experience with dbt and BigQuery — project structuring, testing strategies, performance and cost optimisation
• 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
• Solid understanding of data governance concepts — lineage, access controls, cataloging — as they apply to the BI layer
• Strong communication and enablement skills — you enjoy teaching, documenting, and raising the bar for how analysts work
• Hands-on experience operating services on GCP is a plus
• Fluency in English (Spanish, a plus)

What we offer

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

If you\'re excited about this job opportunity but your background doesn\'t match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.

Notice to Recruitment Agencies and Search Firms:

Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.

AI Transparency Statement:
Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.