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Ebury — São Paulo, Lisbon
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. ) 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 !
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…
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.
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.
Responsibilities
in quality assurance, data governance, and promoting best practices to ensure that data-related processes are efficient, secure, and adhere to industry standards.
What We’Re Looking For
) 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.