Senior Data Engineer - Data Platform Engineering- Fintech Ebury is a hyper-growth FinTech firm, named in 2021 as one of the top 15 European Fintechs to work for by AltFi.
We offer a range of products including FX risk management, trade finance, currency accounts, international payments and API integration.
Málaga Office - Hybrid: 4 days in the office, 1 day working from home Join Our Technology Team at Ebury in our Málaga Office.
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: 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.
About our technology and Data stack Google Cloud Platform as our main Cloud provider Apache Airflow as orchestration tool Docker as PaaS to deliver software in containers dbt for data transformation Looker and Looker Studio as BI tools Github as code management tool Jira as project management tool Synq as a data observability tool 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 Equity process through a performance 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: 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.
Experience and qualifications 3+ years of experience as a Data Engineer or in a similar role.
Proficiency in SQL and Python.
Experience with our modern data stack tools (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) 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.
About Us Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector.
Founded in 2009, we are headquartered in London and have more than 1700 staff with a presence in more than 25 countries worldwide.
Cultural diversity is part of what makes Ebury a special place to be.
From Sao Paulo to Dubai, Bucharest to Toronto, we enjoy sharing team experiences and celebrating success across the Ebury family.
Hard work pays off: in 2019, Ebury received a £350 million investment from Banco Santander and has won internationally recognised awards including Financial Times: 1000 Europe's Fastest-Growing Companies.
None of this would have been possible without our proudest achievement: our great people.
Enthusiastic, innovative and collaborative teams, always ready to disrupt and revolutionise the fast-paced FinTech sector.
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 can be whoever you want to be and still feel a sense of belonging no matter your story because we want you and your uniqueness to help write our future.
Please submit your application on the careers website directly, uploading your CV/resume in English.
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