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September 9, 2026

Middle Data Analytics Engineer

Mid • Remote

18,583 - 20,441 PLN/yr

Kraków, Poland

Quick Facts

  • Role: Middle Data Analytics Engineer

Description

Build reusable, production-grade pipelines that power data deals, large-scale curated training sets for leading AI labs. Ship engineering solutions with immediate revenue impact and collaborate with business development, content experts, data science, and engineering teams.

Responsibilities

  • Work with BD, content experts, data science, and engineering teams to understand customer requirements and available metadata.

  • Map customer requirements to existing metadata and apply data modelling practices to maximize reusability and scalability.

  • Build DBT models that are capable of querying up to 1B rows efficiently.

  • Refine DBT models based on visual QA to ensure accurate datasets at scale.

  • Propose and implement automated solutions that streamline the curation process and increase scalability.

  • Serve as engineering point of contact, partnering with Business Development to ensure accurate timelines, clear requirements, and manage all technical implementation pieces of the workflow.

  • Expand the data curation workflow to accommodate data science approaches within DBT, streamline the review process to ensure a more rigorous statistical approach with more comprehensive testing.

Requirements

  • Strong SQL background with an understanding of query optimization and Snowflake experience.

  • DBT experience preferred.

  • Great communication skills.

  • 3-5 years of experience in analytics/data engineering.

  • Perform code reviews and collaborate with the team to create an optimized ecosystem.

Benefits

  • Immediate revenue impact through shipped engineering solutions.

  • Collaboration with Business Development, data science, and engineering teams for large-scale AI-related data deals.

Qualifications (Nice to have)

  • BigQuery

  • Python

  • ClickHouse

  • Experience delivering projects in an operational environment

  • Interest in data science to aid the understanding of customer use cases

  • Interest in photography, music and video creation

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