Senior Analytics Engineer
Madrid
- Pay
- Salary not listed in the saved posting
- Work setup
Hybrid stated — work setup source
Senior Analytics Engineer Location: Madrid or Málaga, Spain (Hybrid: 4 days in office / 1 day remote) About the Role
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingAs a Senior Analytics Engineer, you will be embedded directly within our domain structure.
This is an opportunity for an engineer who wants to move beyond "just coding." Sitting at the precise intersection of Product, Tech, and Finance, you will translate complex business needs into trustworthy data products.
What you’ll bring
All qualificationsCore experience
- 4+ years in Analytics Engineering, Analytics/Data Engineering, or Data Platform roles with a strong focus on modeling and dbt workflows.
- Practical knowledge of financial mechanisms—you understand concepts like P&L, FX exposure, reconciliation, and cash management.
- Experience with (or a genuine curiosity for) DDD principles and how they shape team ownership and data architecture.
Qualification wording
4+ years in Analytics Engineering, Analytics/Data Engineering, or Data Platform roles with a strong focus on modeling and dbt workflows.
Practical knowledge of financial mechanisms—you understand concepts like P&L, FX exposure, reconciliation, and cash management.
Experience with (or a genuine curiosity for) DDD principles and how they shape team ownership and data architecture.
Tools in this posting
- SQL
- dbt
- Airflow
Source — Tool mentions in context
- Proactive Monitoring & Governance: Design alerting frameworks and monitoring practices to detect anomalies and enforce data quality before outputs reach business decision-makers. - Orchestration & Performance: Manage workflow orchestration using Apache Airflow (Cloud Composer) and continuously optimize SQL models for high performance. - Champion Best Practices: Promote team-wide standards across dbt development, documentation, testing, and code reviews.
- 4+ years in Analytics Engineering, Analytics/Data Engineering, or Data Platform roles with a strong focus on modeling and dbt workflows. - Advanced proficiency in SQL (building, testing, and optimizing complex transformations) and a deep understanding of dbt. - Practical knowledge of financial mechanisms—you understand concepts like P&L, FX exposure, reconciliation, and cash management.
- Orchestration & Performance: Manage workflow orchestration using Apache Airflow (Cloud Composer) and continuously optimize SQL models for high performance. - Champion Best Practices: Promote team-wide standards across dbt development, documentation, testing, and code reviews. What We Are Looking For
What We Are Looking For - 4+ years in Analytics Engineering, Analytics/Data Engineering, or Data Platform roles with a strong focus on modeling and dbt workflows. - Advanced proficiency in SQL (building, testing, and optimizing complex transformations) and a deep understanding of dbt.
Benefits in the posting
Full benefits wording- Competitive Compensation: Market-leading salary plus performance-based bonus.
From the employer’s posting.
About Ebury
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Oct 15, 2026 · 1d ago
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
Senior Analytics Engineer
Location: Madrid or Málaga, Spain (Hybrid: 4 days in office / 1 day remote)
About the Role
As a Senior Analytics Engineer, you will be embedded directly within our domain structure. Operating under a Domain-Driven Design (DDD) model, you will bridge data and product engineering to build high-impact data products.
This is an opportunity for an engineer who wants to move beyond "just coding." Sitting at the precise intersection of Product, Tech, and Finance, you will translate complex business needs into trustworthy data products. In the AI era, context is everything—we are looking for someone who speaks both "data" and "finance."
What You Will Do
- Own Data Product Strategy & Delivery: Partner with Treasury stakeholders to define requirements, design technical roadmaps, and lead data products from discovery through testing and final delivery.
- Balance Architecture & Execution: Seamlessly shift between high-level domain strategy and hands-on technical execution—equally comfortable architecting multi-domain models as you are shipping critical code in your IDE.
- Model with Engineering Excellence: Deliver reliable, scalable data models using modern practices including version control, automated testing, and CI/CD pipelines.
- Proactive Monitoring & Governance: Design alerting frameworks and monitoring practices to detect anomalies and enforce data quality before outputs reach business decision-makers.
- Orchestration & Performance: Manage workflow orchestration using Apache Airflow (Cloud Composer) and continuously optimize SQL models for high performance.
- Champion Best Practices: Promote team-wide standards across dbt development, documentation, testing, and code reviews.
What We Are Looking For
- 4+ years in Analytics Engineering, Analytics/Data Engineering, or Data Platform roles with a strong focus on modeling and dbt workflows.
- Advanced proficiency in SQL (building, testing, and optimizing complex transformations) and a deep understanding of dbt.
- Practical knowledge of financial mechanisms—you understand concepts like P&L, FX exposure, reconciliation, and cash management.
- Experience with (or a genuine curiosity for) DDD principles and how they shape team ownership and data architecture.
- A strong instinct for what makes a data product trustworthy, maintainable, and directly valuable to business users.
- Professional fluency in English. (Spanish is a plus!)
Don't check every box? Apply anyway!
If you are excited about this opportunity but your background doesn't match 100% of the requirements, we still encourage you to submit your application. You might be the perfect fit for this or other roles at Ebury.
What We Offer
- High-Impact Domain: Direct influence over core financial data structures powering Ebury's global growth.
- Competitive Compensation: Market-leading salary plus performance-based bonus.
- Professional Development: Dedicated time and resources for training, certifications, and industry learning.
- Collaborative Hybrid Workplace: Great office energy in Madrid or Málaga, paired with flexible home-office options.
About us
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.
Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team.
At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.
The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.
We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.
Important Security Notice for Job Applicants:
Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.
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.
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Madrid
Senior Analytics Engineer Location: Madrid or Málaga, Spain (Hybrid: 4 days in office / 1 day remote) About the Role
More source context
- Professional Development: Dedicated time and resources for training, certifications, and industry learning. - Collaborative Hybrid Workplace: Great office energy in Madrid or Málaga, paired with flexible home-office options. About us
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