Data Engineer AWS, Financial Services

Job description

About the vacancy

Our client is a financial services company. They mainly act as a mortgage provider and are headquartered in the UK.

We are looking for an experienced Data Engineer to work within the existing data platforms' teams. The candidate will collaborate with other Data Engineers, Designers, Front-End Engineers and Data Scientists to create secure, efficient, and maintainable data environments. The team will ensure that our continuous deployment methodologies follow best practices and industry standards so that the build and deployment pipelines operate seamlessly.

We hire people not to a project, but to the company. If the project (or your work in it) is over, you go to another project or to a paid bench

Tech Stack: Jenkins/Bamboo, AWS, Artifactory, PagerDuty, Helm, Dremio, Airflow, Jupyter, S3, Kubernetes, Python, Bash, Terraform, JIRA, Confluence, BitBucket, Tableau.

Required Skills and Experience

  • 4+ years of experience working as Data Engineer
  • Hands-on experience with AWS Data & Analytics Technology Stack, AWS Well-Architected Framework
  • Practical experience with Spark, Scala
  • Expert experience in major RDBMS, BigData, and Cloud tech stacks
  • Hands-on with at least one of the mainstream development stacks
  • Good understanding of architecture principles, platforms, and best-practices
  • Spoken English

Additional Competencies

  • Certified specialist AWS Data and Analytics

Learn more about our policy of equal opportunities in employment

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Primero y ante todo, las personas

Las relaciones con los clientes y entre colegas se basan en el respeto mutuo, a pesar de nuestras diferencias


Capacidad para desarrollar tu potencial en DataArt.


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La capacidad de contar unos con otros y la voluntad de confiar en las personas son elementos fundamentales de las relaciones en DataArt.

HR Team

Paula Giose

Buenos Aires


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