Data Engineer

hace 1 mes


Madrid, Madrid, España Ebury A tiempo completo

About Ebury:

Ebury is a FinTech company that offers a range of products including FX risk management, trade finance, currency accounts, international payments, and API integration.

About the Role:

We are seeking a Data Engineer to join our Data Engineering team. As a Data Engineer, you will work closely with the rest of the team to help model and maintain the Data Platform.

Responsibilities:

  • Build, maintain, and optimize data pipelines and ETL processes on big data environments
  • Develop and maintain Ebury's Data 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

About the Team:

Ebury's strategic growth plan would not be possible without our Data team. Our data mission is to develop and maintain Ebury's Data Platform and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers, and Data Analysts work collaboratively.

About the Technology and Data Stack:

  • 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 modelling and warehousing
  • Looker and Looker Studio as Business Intelligence/dashboarding
  • Github as code management tool
  • Jira as project management tool

Requirements:

  • 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
  • As a plus:
  • Experience with our modern Data stack tools
  • Dimensional modelling/data warehousing concepts knowledge
  • Spanish language


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