Senior Data Platform Engineer

Ebury is a leading global fintech company that empowers businesses to trade and grow internationally. It offers a comprehensive suite of products, including international payments and collections, FX risk management, trade finance, and API integrations. Founded in by Juan Lobato and Salvador García, Ebury is one of the fastest-growing global fintechs, with over 1, employees and 38 offices in more than 25 countries.

Senior Data Platform Engineer

Join Our Data Team at Ebury.

Ebury’s strategic growth plan would not be possible without ourData teamand we are seeking aSenior Data Engineerto join ourData Platform Engineering team!

Our data mission is to develop and maintainEbury’s Data Warehouseand 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

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.

What we offer:

Competitive salary and benefits package  Discretionary bonus based on performance Continued personal development through training and certification We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities:

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 Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs.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

About you:

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

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.

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