São Paulo Office - Hybrid: 4 days in the office, 1 day working from home Ebury is a Global FinTech: we apply new technologies to enhance and automate financial services and processes.
This allows small and medium-sized businesses to trade and transact internationally by eliminating boundaries related to more traditional.
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 anyway.
You may be just the right candidate for this or other positions we have.
Get ready to take your career to the next level: If there's something that you can do in our Tech team, it is growing professionally: thanks to our career path and our collaborative and cross-working teams, every day is a new adventure.
What we offer: Variety of meaningful and competitive benefits to meet your needs Competitive salary You'll have continuous professional growth thanks to our career progression framework with regular reviews An equitable process implemented through a performance-based bonus Allowance to take annually paid time off as well as during local public holidays Continued personal development through training and certification Being part of a diverse technology team that cares deeply about culture and best practices, and believes in agile principles We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects Responsibilities: Oversee the design, development, and maintenance of robust data pipelines and ETL processes. Build, develop, and lead a high-performing data team. Collaborate with stakeholders to understand their data needs and deliver actionable insights. Establish and enforce data governance policies and standards to ensure data quality and security. Drive innovation and explore emerging technologies to enhance our data capabilities. Experience and qualifications: Proficiency in Python for data transformation and validation. Proficiency in SQL for querying and managing large datasets, as well as experience working with structured and unstructured data sources. Data engineering and modelling skills such as slowly changing dimensions and dimensional modelling. Proven ability to lead and motivate teams, foster a positive team culture, and empower team members to succeed. Hands-on experience with data warehousing, data lakes, and cloud platforms, including designing and implementing data solutions at scale. Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills. Experience with GCP (Google Cloud Platform) tools and services, such as BigQuery, Cloud Run, and Cloud Functions. 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!
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