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Senior Analytics Engineer
- Pay
- Pay not listed
- Work setting
Hybrid — work setting 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
- Not stated
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.
Define requirements and lead data products from discovery to delivery
Build reliable, scalable data models with version control, tests and CI/CD
Design alerting and monitoring to catch data anomalies before business use
Manage Apache Airflow (Cloud Composer) workflows and optimise SQL models
Set team standards for dbt development, documentation, testing and code reviews
From the employer’s posting
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."
Partner with stakeholders to define requirements, design technical roadmaps, and lead data products from discovery through testing and final delivery.
Deliver reliable, scalable data models using modern practices including version control, automated testing, and CI/CD pipelines.
Design alerting frameworks and monitoring practices to detect anomalies and enforce data quality before outputs reach business decision-makers.
Manage workflow orchestration using Apache Airflow (Cloud Composer) and continuously optimize SQL models for high performance.
Promote team-wide standards across dbt development, documentation, testing, and code reviews.
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.
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
Report an error- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Oct 15, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Ebury is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 70% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- dbt
- Airflow
Where the posting names them
- 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.
Your next step
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Ebury posted this job before?
Yes. We’ve followed one other Senior Analytics Engineer job there since October 2026. It came down after 14 days.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 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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