Data Engineer / Tech Lead

Summary

Hands-on Data Engineer Tech Lead designing and building data pipelines and a central data storage layer on AWS (S3, Glue, Lambda), primarily using Python. Responsibilities include mentoring engineers, leading architectural design, and enabling Generative AI projects through effective data management.

PROJECT INFORMATION:

  • Work model: 100% remote

  • Rate: up to 200 pln/h net +VAT

  • Employment type: B2B contract
    Business travel:
    Occasional, up to once per quarter (e.g., onboarding sessions or workshops)

About the Role

This position offers an exceptional opportunity for a Data Engineer Tech Lead who thrives in a hands-on role while providing technical leadership. The successful candidate will be instrumental in designing, building, and maintaining a central data storage and processing layer, ensuring standards are high and the platform evolves effectively.

Main Responsibilities

Core responsibilities will include:

  • Designing and developing data pipelines for reliable and efficient data flows.

  • Ensuring data availability and security in the central storage layer.

  • Collaborating with data stakeholders to support data-driven initiatives.

  • Implementing best practices in development, testing, and deployment.

  • Optimizing use of AWS services for data management and performance.

  • Contributing to Generative AI projects through effective data management.

  • Troubleshooting issues across data pipelines.

Key Requirements

  • Proficiency in at least one programming language, preferably Python.

  • Strong knowledge of AWS cloud services including S3, Glue, and Lambda.

  • Solid understanding of databases and data processing pipelines.

  • Hands-on experience with software engineering best practices.

  • Familiarity with Generative AI technologies.

  • Strong problem-solving skills in a collaborative environment.

  • Proven ability to lead architectural design and initiatives.

  • Experience mentoring engineers in a hands-on manner.

Nice to Have

  • Knowledge of data orchestration tools and frameworks.

  • Experience working with Content Management Systems.

  • Understanding of data governance and security best practices.

  • Exposure to cost management strategies in cloud environments.

See also

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