Real job — pulled straight from Ebury’s careers page · Verified July 30, 2026 · No reposts.
Job description
Ebury is hiring a Data Analytics Engineer — a full-time, based in São Paulo role. Apply directly on Ebury's careers page below.
Data Analytics Engineer
Location: São Paulo
Department: Data
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.
Data Analytics Engineer
Location: São Paulo (4 days on-site, 1 day remote)
Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Headquartered in London, we have more than 1,000 staff covering over 50 nationalities (and counting!) working across more than 27 offices worldwide and serving more than 45,000 clients every day.
About our team:
Ebury’s strategic growth plan would not be possible without our Data team and we are seeking a Analytics Engineer to join our Analytics Engineering team!
Our data mission is to develop and maintain Ebury’s Data Platform and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively to:
- Build ETLs and data pipelines to serve data in our platform
- Provide clean, transformed data ready for analysis and used by our BI tool
- Develop department and project-specific data models and serve these to teams across the company to drive decision-making
- Automate end solutions so we can all spend time on high-value analysis rather than running data extracts
- Collaborate with stakeholders to understand the requirements, advising on and influencing the solutions, and taking ownership of data implementation and delivery
About our technology and Data stack:
- Google Cloud Platform as our main Cloud provider
- Apache Airflow as orchestration tool
- Cloud Build as CICD
- dbt as data modelling and warehousing
- Looker and Looker Studio as Business Intelligence/dashboarding
- Github as code management tool
- Jira as project management tool
- Among others third party tools such as: Hevodata, Synq…
About the role:
As an Analytics Engineer, you will be an integral part of our data team. You will work closely with the rest of the team to help model and maintain the Data Platform.
This role also encompasses important responsibilities in quality assurance, data governance, and promoting best practices to ensure that data-related processes are efficient, secure, and adhere to industry standards.
As part of the team you will
- Gather requirements from the business and define an action plan to execute them.
- Work on projects end to end, from definition to delivery.
- Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing, CI/CD)
- Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
- Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer)
- Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints).
- Contribute to and promote best practices for query development, version control, code review, documentation, and testing.
What we’re looking for
- 2+ years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
- Proficiency in SQL
- Mid - Level experience with Python
- Experience with our modern data stack tools (a plus!) We use dbt, Google Cloud Platform (BigQuery, DataStudio), Looker
- Familiarity with dimensional modelling/data warehousing concepts
- Experience with software engineering practices in data
- Attention to detail and commitment to data quality
- Advanced in English (Spanish, a plus)
#LI-JC1
#LI-HYBRID
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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Frequently asked questions
What skills are required for Data Analytics Engineer at Ebury?
The required skills for Data Analytics Engineer at Ebury include: SQL, Python, dbt, GCP, BigQuery, Looker, Data Warehousing, ETL, Airflow, JIRA, GitHub.
What is the seniority level for Data Analytics Engineer at Ebury?
Data Analytics Engineer at Ebury is a Mid Level level position.
How do I apply for Data Analytics Engineer at Ebury?
You can view the full description and apply for Data Analytics Engineer at Ebury on EchoJobs: https://echojobs.io/job/ebury-data-analytics-engineer-ptwdj.