Data Engineer

Role Overview

As a Data Engineer, you will build and maintain data products on the modern Databricks platform, working with data science and data engineering teams to deliver reliable data sets used in AI solutions, reporting, and analytics.

What You Will Do

Your actions will focus on developing and maintaining data pipelines, data models, and platform features that make data easy to find, trust, and use. You will build and maintain data pipelines using Databricks and PySpark, develop data products using modern Databricks features, and monitor the state of data pipelines, resolve issues, and improve their reliability, performance, and cost-effectiveness.

Why It Might Be a Fit

You will work with analysts, data scientists, and business stakeholders to understand their requirements and deliver practical data solutions, and contribute to continuous improvement of the Databricks environment and our engineering work methods.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field
• At least 3 years of practical experience in building and maintaining data pipelines and data solutions
• Strong programming skills in Python
• Experience with Databricks, PySpark, Delta Lake, and Azure
• Knowledge of Unity Catalog, data modeling, and automated data processing
• Experience in monitoring data pipelines, investigating failures, and improving reliability and performance
• Apache SparkTM Declarative Pipelines, CI/CD, DataOps practices (including Databricks Asset Bundles / Declarative Automation Bundles)
• English at B2 level or higher

Benefits

• Private medical care (Medicover)
• Sports card (Multisport) funding
• Group insurance (Warta)
• Ergonomic office spaces
• Additional 2 paid days off
• Summer vacations
• Opportunity to receive up to 30% discount on company products
• Travel funding or glasses
• Access to internal training
• Mentoring programs
• Language learning platform (eTutor)
• Opportunity to participate in international projects
• Company events
• Family-friendly activities
• Flexible start time (7:30 – 9:00)
• 70/30 hybrid work
• Up to 30 days of remote work in selected foreign countries