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 1,800+ 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.

Data Analytics Engineer

Job description