Senior Data Architect for Fintech Data Platform
hace 2 días
Job Overview
Ebury's strategic growth plan relies heavily on its Data team, and we're seeking a Senior Data Engineer to join our Data Platform Engineering team. Our data mission involves developing and maintaining Ebury's Data Warehouse, serving it to the entire company where data professionals collaborate to:
- Build and optimize data pipelines to serve data in our platform.
- Provide clean, transformed data ready for analysis using our BI tool.
- Develop department-specific data models and serve them to teams across the company for informed decision-making.
- Automate end-to-end solutions so analysts can focus on high-value analysis instead of running data extracts.
In this role, you'll develop, enhance, and maintain robust frameworks and best practices to support analytics and ML initiatives, working closely with data analysts and engineering teams to ensure our data platform is scalable, secure, and efficient.
About the Role
We are looking for a skilled Senior Data Engineer with a strong focus on building and optimizing data platforms. You will be responsible for:
- Designing and implementing data pipelines to serve data in our platform.
- Ensuring data quality and transforming data for analysis.
- Developing department-specific data models and serving them to teams across the company.
- Automating end-to-end solutions to free up time for high-value analysis.
Why Join Ebury?
Ebury offers a dynamic work environment, competitive salary (£70,000 - £90,000 per annum), and excellent benefits including 4 days in the office and 1 day working from home. We believe in inclusion and stand against discrimination in all forms, making us a modern and successful organization.
About Our Technology Stack
We use Google Cloud Platform as our main cloud provider, Apache Airflow for orchestration, Docker for PaaS delivery, dbt for data transformation, Looker and Looker Studio as BI tools, Github for code management, Jira for project management, and Synq for data observability. We also utilize third-party tools such as Hevodata, MonteCarlo, and Synq.
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