Technology & Digital

Data Engineer - Platform gen AI

Job ID: 94638

We are seeking an experienced data engineer to shape and accelerate the delivery of target state data platform enabling generative AI use-cases. We want a passionate specialist who loves to build data solutions as part of multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers and others.

  • Lisbon
  • Prague
  • San Jose
  • Sao Paulo
+ 3 More
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Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

We are looking for a data engineer with expertise in Python development, who is passionate about cloud- based data engineering using AWS services and loves to build data solutions as part of multi-disciplinary team.  
You'll be working closely with digital product professionals, data scientists, cloud engineers and others.
You’ll be a member of a global team working on our generative AI initiative, based in one of our European offices. Our McKinsey’s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm’s internal use. 
You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by generative AI applications. 
Your work would include but won't be limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with AWS-based infrastructure and docker containers.

Your Growth

You’ll be a member of a global team working on our generative AI initiative. McKinsey’s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm’s internal use. We are taking a cloud-first approach to transform our data platforms and analytical applications across the firm. 
We are seeking an experienced data engineer to shape and accelerate the delivery of target state data platform enabling generative AI use-cases. We want a passionate specialist who loves to build data solutions as part of multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers and others.

Your qualifications and skills

  • 3+ years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS services
  • Expertise with Python development
  • Practicing high coding standards with clean code, modularity, error handling, testing automation and more
  • Strong experience with relational databases
  • Very driven, super strong on execution and output orientation, likes to get job done attitude and ability to figure things out independently; able to work in complex and very fast paced environment
  • Hands-on experience with Docker
  • Solid and demonstrable background in data pipeline performance and diagnostics
  • Interest in generative AI and other ML topics
  • Kedro framework experience as a plus
  • Holds their ground, opinionated, not afraid to speak up at any level
  • Familiarity with agile principles and product development
  • Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges
  • Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment 
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Industries
  • High Tech
Capabilities
  • Technology
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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

FOR BRAZILIAN APPLICANTS: Applicants for job positions in any office in Brazil have flexibility regarding qualifications and McKinsey & Company will not require previous experience of more than 6 months. If the job description indicates preferred prior work experience of more than 6 months, applicants for such job position in the Brazilian offices must interpret the preferred qualification described as limited up to 6 months maximum.

Job Skill Group - CSSA
Job Skill Code - FSDA - Data Engineer II
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jan 27 00:00:00 GMT 2025
LinkedIn Posting City - Prague
LinkedIn Posting State/Province -
LinkedIn Posting Country - Czech Republic
LinkedIn Job Title - Data Engineer - Platform gen AI
LinkedIn Function - Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Executive