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DataOps Engineer

  • Seniority:

    Senior

  • Work model:

    Remote

  • Language:

    English

  • We are a dynamic company at the forefront of innovative data solutions and are currently seeking experienced DataOps Engineer with proficiency in Snowflake.

  • Your role is to:

    • Develop and maintain optimal data pipeline architecture.
    • Assemble large, complex datasets meeting business requirements.
    • Implement process improvements, automate manual tasks, and optimize data delivery.
    • Build infrastructure for efficient data extraction, transformation, and loading using SQL and AWS technologies.
    • Develop CI/CD pipelines, model data transformations using dbt, and leverage Snowflake database capabilities.
    • Create analytics tools for actionable insights into customer acquisition and operational efficiency.
    • Collaborate with stakeholders to address data-related issues and support infrastructure needs.
    • Ensure secure data separation across national boundaries and multiple data centers.
    • Create data tools to assist analytics and data science teams in product optimization.
    • Collaborate with data and analytics experts to enhance overall system functionality.
  • Your skills:

    • Expertise in building and maintaining data pipeline architecture.
    • Proven ability to assemble large, complex data sets.
    • Strong development skills in CI/CD pipelines, GitLab, and DataOps.
    • Advanced proficiency in Snowflake, SQL, and automation.
  • Benefits:

    • Permanent full-time contract adjusted to your preferences (B2B or Contract of Employment).
    • Ability to work entirely remotely or in one of our cool offices around Poland.
    • International project environment – challenging and rewarding projects.
    • Access to private medical service, life insurance, and multisport card.
    • Access to training and certificate courses (including free access to Udemy training platform).
    • Cafeteria Benefits System – vouchers for purchases and services.

DataOps Engineer