Middle+ Data Engineer

Our client is one of the TOP-5 global management consulting firms, recognized among the most prestigious worldwide. Their services and platform are trusted by hundreds of Fortune 500 companies, including major global financial institutions, leading media and technology firms, and federal government agencies.
Project Description

As part of the delivery team, you will be at the technical forefront, working closely with product teams to implement key use cases that transform workflows through Generative AI. You will collaborate with supporting teams and practice leadership to maximize the impact of GenAI within specific practice areas. Your role involves developing and optimizing GenAI use cases using the project’s platform. You will work alongside product managers, data scientists, engineers, designers, and Firm stakeholders to define product requirements, prioritize features, and drive successful implementations.

Tech Stack

  • Python
  • AWS
  • Docker
  • Terraform (nice to have)

Requirements

  • 3+ years of professional experience as a Data Engineer, with a strong focus on cloud-based data engineering using AWS services
  • Proficiency in Python development
  • Adherence to high coding standards: clean code, modularity, error handling, test automation, and best practices
  • Solid experience with relational databases
  • Highly execution-driven and results-oriented, with a problem-solving mindset and the ability to work independently in a fast-paced, complex environment
  • Hands-on experience with Docker
  • Strong background in data pipeline performance optimization and diagnostics
  • Interest in Generative AI and ML topics

Responsibilities

  • Collaborate with a team of Data Engineers to develop data ingestion pipelines and enhance data processing capabilities for GenAI applications
  • Write Python code for data processing and transformation
  • Implement unit tests and maintain high code quality standards
  • Develop and modify GitHub Action CI/CD pipelines
  • Work with AWS-based infrastructure and Docker containers

English Level

  • Upper-Intermediate+

Location

  • Poland
Published 18 March
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