AI-Driven Data & Automation Engineer

THE/STUDIO

Warszawa

On-site

PLN 447,000 - 670,000

Full time

4 days ago
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Job summary

THE/STUDIO is hiring a data engineer to own data across the organization, building an AI-powered data engine and real-time analytics. You will collaborate with engineering and automation teams to connect, clean, and automate data ecosystems, enabling autonomous, data-driven decisions.

This role emphasizes hands-on construction of dashboards, pipelines, and alerting systems, with a focus on operational scalability and rapid prototyping in a fully remote environment.

Qualifications

  • Builder mindset: solve ambiguous problems through research and execution.
  • Hands-on SQL and cloud data warehouse fundamentals (e.g., BigQuery).
  • Experience with BI dashboards and automation tools; end-to-end tool building.

Responsibilities

  • Architect the AI data engine for natural-language queries and automated decision support.
  • Design self-sustaining pipelines and dashboards with auto-populated metrics.
  • Ship end-to-end solutions from raw requirements without formal specs.
  • Deploy real-time alerts to detect process breakdowns and deviations.
  • Expose timestamps across core platforms to identify bottlenecks.
  • Engineer automated workflows linking data sources to reporting and alerting tools.
  • Resolve data quality issues at the source and ensure data integrity.
  • Leverage AI tools to accelerate development and prototyping.
  • Document tools and workflows to enable non-technical managers.

Skills

SQL
Looker Studio
BigQuery
n8n
Make
AI-first workflows
Stakeholder communication

Tools

Looker Studio
n8n
Make
BigQuery
Python

Job description

THE/STUDIO is hiring a data engineer to own data across the organization, building an AI-powered data engine and real-time analytics. You will collaborate with engineering and automation teams to connect, clean, and automate data ecosystems, enabling autonomous, data-driven decisions.

This role emphasizes hands-on construction of dashboards, pipelines, and alerting systems, with a focus on operational scalability and rapid prototyping in a fully remote environment.

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