Senior Data Engineer

hace 1 mes


Madrid, Madrid, España Ebury A tiempo completo
About Ebury

Ebury is a leading FinTech firm that offers a range of innovative products and services to help businesses thrive in the global economy.

Job Description

We are seeking a highly skilled Senior Data Engineer to join our Data Platform Engineering team in Madrid. As a key member of our team, you will be responsible for designing, building, and maintaining our data platforms to support our analytics and machine learning initiatives.

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.

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 modeling 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  • Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs.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.
Requirements
  • 3+ years of experience as a Data Engineer or in a similar role.
  • Proficiency in SQL and Python.
  • Experience with our technology stack, including Google Cloud Platform, Apache Airflow, Docker, dbt, Looker, and GitHub.
What We Offer
  • Variety of meaningful and competitive benefits to meet your needs.
  • Competitive salary.
  • You'll have continuous professional growth thanks to our 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.


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