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Data Engineer
hace 2 meses
Ebury is a leading FinTech company, recognized as one of the top 15 European Fintechs to work for by AltFi. We offer a range of innovative financial products and services, including FX risk management, trade finance, currency accounts, international payments, and API integration.
About the RoleWe are seeking a highly skilled Data Engineer to join our Data Engineering team. As a Data Engineer, you will play a critical role in developing and maintaining Ebury's Data Platform, serving data to the entire company. Our data mission is to:
- Design, develop, and deploy ELT/ETL data pipelines from various data sources, including transactional databases, REST APIs, and file-based endpoints.
- Provide clean, transformed data ready for analysis and used by our Business Intelligence tool.
- Develop department and project-specific data models and serve these to teams across the company to drive decision-making.
- Automate end-to-end solutions to enable high-value analysis rather than running data extracts.
We utilize Google Cloud Platform as our main cloud provider, Apache Airflow and dbt Cloud as orchestration tools, Docker as PaaS to deliver software in containers, Cloud Build as CICD, dbt as data modeling and warehousing, Looker and Looker Studio as Business Intelligence/dashboarding, GitHub as code management tool, Jira as project management tool, and other third-party tools such as Hevodata, MonteCarlo, and Synq.
RequirementsTo be successful in this role, you will need:
- At least 3+ years of data/analytics engineering experience building, maintaining, and optimizing data pipelines and ETL processes on big data environments.
- Proficiency in Python and SQL.
- Knowledge of software engineering practices in data (SDLC, RFC).
- Stay informed about the latest developments and industry standards in Data.
- Fluency in English.
We welcome candidates with experience in our modern Data stack tools, dimensional modeling/data warehousing concepts, and Spanish language.
What We OfferYou will have the opportunity to:
- Be mentored by one of our outstanding performance team members along a 30/60/90 plan designed specifically for you.
- Participate in data modeling reviews and discussions to validate the model's accuracy, completeness, and alignment with business objectives.
- Design, develop, deploy, and maintain ELT/ETL data pipelines from various data sources.
- Serve hands-on delivery of data models using solid software engineering practices.
