Data Engineer

Quick Facts

• Role: Data Engineer

Description

Design, build, and maintain reliable data pipelines and data solutions that support data platforms and business products. Work with modern cloud data technologies and apply engineering best practices to deliver scalable, accessible, and dependable data. Continuously improve pipelines and processes, including exploring practical AI applications for data quality, monitoring, anomaly detection, automated testing, and overall engineering efficiency.

Responsibilities

• Design, build, test, and maintain production-ready, scalable data pipelines and data solutions

• Develop and optimize data processing workflows for efficiency, maintainability, and cost-effectiveness

• Ingest, transform, store, and process data from multiple sources using cloud data platforms

• Apply data engineering standards, design patterns, and best practices across pipelines and solutions

• Contribute to CI/CD, automated testing, monitoring, and observability for reliable deployments and operations

• Support data quality and governance using validation, monitoring, and controls

• Collaborate with Data Engineers, Product teams, Architects, and technical stakeholders to deliver solutions aligned to requirements

• Investigate and resolve data and pipeline issues, identify root causes, and implement improvements

• Drive continuous improvement of data platforms, engineering processes, and ways of working

• Explore practical AI use cases in data engineering (quality, monitoring, anomaly detection, automated testing, efficiency)

• Participate in code reviews, technical discussions, and knowledge sharing

Benefits

• 15,000–26,000 PLN gross per month on an employment contract

• Private medical healthcare at LUXMED (including dentalcare) for you and your family

• Medicover sports card (Fit&More package)

• Employer-financed life insurance

• 30-minute lunch break included in the 8-hour working day

• Training & Buddy programme to adapt quickly

• Language courses, accounting courses, LinkedIn Learning access, and possible co-financing of studies and certifications

• Wellbeing programme for employees

• Co-financing of monthly public transport tickets in Kraków

• Comfortable office environment and possibility of home office

• Employee referral programme

Requirements

• Strong programming skills in Python and SQL

• Hands-on experience building and maintaining production data pipelines and data processing solutions

• Experience with data processing technologies such as Spark (PySpark or Scala)

• Experience with DBT (or similar tools) for data modeling and transformation

• Hands-on experience with at least one major cloud platform: GCP, Azure, or AWS

• Experience with modern data platforms/services such as Databricks, BigQuery, or Azure Data Factory

• Understanding of batch, streaming, and event-driven data processing patterns

• Experience with DevOps and DataOps practices, including CI/CD, Git, and Infrastructure as Code

• Understanding of data quality principles, automated testing, and monitoring (using relevant tools/frameworks)

• Good understanding of scalable, reliable, and observable data solutions

• Ability to collaborate with cross-functional teams and communicate effectively with technical and non-technical stakeholders

• Continuous improvement mindset and willingness to develop technical knowledge

• Excellent command of English (written and spoken)