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Senior Data Engineer

MindPal·16,000 – 29,500 PLN

Primary stack

PythonSQLdbtSnowflake

Job description

About the Position

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Senior Data Engineer • Remote

Salary: 16,000 - 29,500 PLN/yr

Location: Warsaw, Poland


Responsibilities

  • Own the technical approach for extracting, transforming, and scoring signals from large social and web datasets
  • Design and develop reliable data transformations and pipelines
  • Evaluate and incorporate new data sources into existing workflows
  • Define and validate metrics used to identify meaningful trends and signals
  • Own complex technical implementation across the workstream
  • Translate ambiguous business/product requirements into technical solutions
  • Clean and prepare large datasets while ensuring data quality and consistency
  • Build automated testing into data transformations and pipelines
  • Develop rapid prototypes to validate technical approaches before full implementation
  • Deliver clean, reusable code, pipelines, and datasets
  • Support technical decisions and help shape the approach to new data challenges
  • Use AI-assisted development tools while maintaining full ownership of engineering quality and correctness

Requirements

  • 5+ years of commercial experience in data engineering, analytics engineering, or another strongly technical data role
  • Strong hands-on experience with Python and SQL
  • Strong practical experience with dbt
  • Experience working with Snowflake
  • Experience building or developing reliable data pipelines and transformations
  • Strong understanding of data quality and automated testing
  • Ability to independently own complex technical problems from definition through implementation
  • Experience translating business or product requirements into technical solutions
  • High level of autonomy, technical judgement, and ownership

We Offer

  • Fully remote work
  • High level of technical ownership and autonomy
  • Real influence on how new data sources, metrics, and technical approaches are developed
  • Hands-on work with Python, SQL, dbt, and Snowflake
  • Opportunity to solve technically complex problems using large and diverse datasets
  • Opportunity to combine engineering with experimentation, data discovery, and rapid prototyping
  • Close collaboration with senior data leadership
  • Opportunity to shape engineering and data quality practices within the workstream
  • Access to modern AI-assisted development tools
  • Multisport card
  • Private healthcare

About the Company

At iTeamly, we are committed to leveraging data to drive impactful decisions and innovations. Our team is passionate about data engineering and is dedicated to maintaining the highest standards of data quality and technical excellence.

© MindPal. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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MindPal

Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce

About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.

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