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 optimizing 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 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.
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