Data Engineer

Quick Facts

• Role: Data Engineer (Contract of Employment / UoP in Poland)
• Focus: Building high-quality data products and frameworks for marketing analytics
• Location: Warsaw office-centric hybrid (Mon/Tue/Thu in office; Wed optional WFH; Fri depends on work type)

Description

You will design, implement, and scale end-to-end data products supporting data processing and analytics needs.

The role includes influencing cloud-based engineering best practices (Databricks, Spark, Airflow), leveraging AI to build self-serve tools for Data/GTM workflows, and partnering with business and infrastructure teams to align on data strategy and execution.

You will also implement systems that ensure data quality, governance, and availability.

Responsibilities

• Design, implement, and scale end-to-end data products
• Drive best practices in Databricks and cloud-based data engineering
• Build self-serve tools using AI to accelerate Data/GTM workflows
• Align data strategy and execution with business and technical stakeholders
• Implement data quality, governance, and availability systems

Requirements

• 3+ years of hands-on experience in Data Engineering or Software Engineering
• Degree in computer science/engineering or equivalent technical experience
• Proficiency in cloud-based data processing and storage tools such as Databricks, Spark, and Airflow
• Fluent in SQL and proficient in at least one modern language: Python, Scala, or Java
• Strong communication skills with non-technical stakeholders
• Proactive, innovation-driven execution mindset
• Curiosity about AI tools and emerging technologies

Benefits

• Generous compensation system (base salary + RSUs)
• Health insurance with dental and travel coverage
• Lunch catering on in-office days
• Career growth budget and home office setup budget
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• MacBooks with necessary accessories