Project Overview:

Our client is innovative and operates in AI and corporations' digitalization by empowering businesses with AI data processing. Their goal is to provide businesses with meaningful AI. The company's approach to the E2E AI product applies to all areas of business.

The client's AI and ML hub is based in Barcelona and Madrid, with the team of 50+ DS & ML engineers and Data Engineers.

Ольга Якуба

If you have a passion for data and technology and want to join a crew of sharp analytical minds, then this may be the right opportunity for you.

As a Data Engineer , you will take part of the following tasks:

  • Develop high quality data models in SQL to support our applications;
  • Develop automated data pipelines in AWS (lambdas, step functions, Glue);
  • Design, building, and launching of new data models and data pipelines;
  • Implement best practices in data engineering including data integrity, validation, reliability, and documentation and improving discoverability of data;
  • Optimize database design for performance;
  • Build relationships with Data Scientists, Product Managers and Software Engineers to understand data needs.
  • 5+ years of experience in data modeling, ETL/ELT development, and Data Warehousing;
  • 3+ years of experience in with Cloud database technology, specifically Redshift;
  • 2+ years experience developing and deploying high-performance solutions using Apache airflow, Lambda Functions, Glue, Python and Spark;
  • Solid understanding of database design principals;
  • Solid understanding of query execution plans;
  • Experience working with multi disciplinary teams;
  • Experience working with Agile Methodology (Jira, stand ups, sprint planning, ...);
  • Experience in project planning;
  • Excellent problem-solving and analytical skills;
  • Strong communication and collaboration skills;
  • Experience in communicating technically, at a level appropriate for the audience;
  • Ability to work in a fast pace and learn quickly;
  • Ability to lead a team;
  • Good level of English.




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