Senior Analytics Engineer
Ebury is hiring a Senior Analytics Engineer for a remote role open to applicants in Spain. Level rates it ; you can apply on Ebury.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include dbt, Apache Airflow and Cloud Composer.
- Level lists 160 other open roles at Ebury.
- The role was posted in the last few days.
AI in this role
Build scalable data products and models using modern analytics engineering practices, dbt, and workflow orchestration.
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 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.
How we rate this
Senior Analytics Engineer at Ebury rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where analytics engineering was part of your work. What did you do?
- Tell me about a project where data modelling was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where domain driven design was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Analytics Engineering, Data Modelling, CI/CD, Data Governance, and Domain Driven Design. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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