Senior Data Platform Engineer - Fintech

São Paulo Office - Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury.

Ebury’s strategic growth plan would not be possible without our Data team and we are seeking a Senior Data Engineer to join our Data Platform Engineering team!

Our data mission is to develop and maintain Ebury’s Data Warehouse and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively to:

1. Build ETLs and data pipelines to serve data in our platform
2. Provide clean, transformed data ready for analysis and used by our BI tool
3. Develop department and project specific data models and serve these to teams across the company to drive decision making
4. Automate end solutions so we can all spend time on high-value analysis rather than running data extracts

We are looking for a skilled Senior Data Engineer with a strong focus on building and optimising data platforms to join our growing team.

In this role, you will be responsible for developing, enhancing, and maintaining robust frameworks and best practices to support our analytics and ML initiatives. You will work closely with data analysts and other engineering teams to ensure our data platform is scalable, secure, and efficient.

Why should you join Ebury?

Want to work in a high-growth environment? We are always growing. Want to build a better world? We believe in inclusion. We stand against discrimination in all forms and have no tolerance for the intolerance of differences that makes us a modern and successful organisation.

At Ebury you will find an internal group dedicated to discussing how we can build a more diverse and inclusive workplace for all people in the Technology Team, so if you’re excited about this job opportunity but your background doesn’t match exactly the requirements in the job description, we strongly encourage you to apply anyways. You may be just the right candidate for this or other positions we have.

About our technology and Data stack

1. Apache Airflow as orchestration tool
2. Docker as PaaS to deliver software in containers
3. Looker and Looker Studio as BI tools
4. Github as code management tool
5. Synq as a data observability tool

What we offer:

1. Variety of meaningful and competitive benefits to meet your needs
2. Equity process through a performance bonus
3. Allowance to take annually paid time off as well as during local public holidays
4. Continued personal development through training and certification
5. Being part of a diverse technology team that cares deeply about culture and best practices, and believes in agile principles
6. We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities:

1. Establish performance monitoring to track the speed and efficiency of data processing and analysis, and address bottlenecks or slowdowns as needed.
2. Participate in data modelling reviews and discussions to validate the model's accuracy, completeness, and alignment with business objectives.
3. Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs.
4. Help to implement data governance policies, including data quality standards, data access control, and data classification.
5. Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into platform capabilities.
6. Automate data ingestion, transformation, testing and integration processes to enhance data accessibility and data quality.
7. Evaluate and integrate new data tools and technologies to continuously improve the platform’s capabilities.
8. Create and maintain detailed documentation on platform architecture, data flows, and operational processes.
9. Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.

Experience and qualifications

1. 3+ years of experience as a Data Engineer or in a similar role.
2. Familiarity with dimensional modelling/data warehousing concepts.
3. Basic understanding of data governance practices
4. Experience with software engineering practices in data
5. Attention to detail and commitment to data quality
6. Fluency in English (Spanish, a plus)

Even if you don't meet every requirement listed, we encourage you to apply—your skills and experience might be a great fit for this role or future opportunities!

We welcome applications from candidates who require a work permit. For non-EU/EEA nationals, the company may assist with the work permit process, depending on individual circumstances.