AI/ML Data Engineer — Data Pipelines & Quality

Aptiv PLC

Kraków

On-site

PLN 120,000 - 180,000

Full time

14 days+
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Job summary

Aptiv Kraków is seeking a data engineering-focused professional to design and implement ETL pipelines, data quality metrics, APIs and data processing tools for AI/ML data platforms. You will ensure data enrichment, organize raw and processed data, and contribute to big data research while collaborating in project meetings.

The ideal candidate holds a BSc/MSc in Data Science or related field, displays initiative and integrity, communicates effectively in English, and is committed to high quality

Qualifications

  • Advanced presentation and communication skills in English
  • High level of motivation, integrity and initiative
  • Creativity, ingenuity, transparency and passion for excellence
  • Methodical approach to problem solving
  • Honesty in relation with company and clients

Responsibilities

  • Design and implement solutions for extracting, transforming and loading AI/ML data to data platforms and tools
  • Design and implement data quality metrics
  • Implement APIs, clean and organize raw and processed data
  • Implement data pipelines and data processing tools to meet functional requirements
  • Implement, execute and incorporate data enrichment and analysis methods in AI/ML data platforms
  • Research, adapt and develop technologies related to big data
  • Control the performance of innovations through trials
  • Optimizing technical solutions in terms of multiple criteria
  • Writing technical and scientific documentation
  • Collaboration and participation in project meetings
  • Continuous developing of professional qualifications
  • Care for good company image, confidential information and company’s property
  • On-time execution of assigned tasks in compliance with the valid quality system

Skills

Advanced presentation and comms in EN

Education

BSc/MSc in Data Science/CS/Robotics

Job description

Aptiv Kraków is seeking a data engineering-focused professional to design and implement ETL pipelines, data quality metrics, APIs and data processing tools for AI/ML data platforms. You will ensure data enrichment, organize raw and processed data, and contribute to big data research while collaborating in project meetings.

The ideal candidate holds a BSc/MSc in Data Science or related field, displays initiative and integrity, communicates effectively in English, and is committed to high quality

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