Data Engineer

Technologies we use

About the project

Your responsibilities

• Design and build scalable data platforms for Big Data and real-time processing
• Drive end-to-end data engineering solutions (development, automation, testing, and support)
• Integrate and model data from multiple sources into high-quality, reusable datasets
• Define and enforce best practices, standards, and data governance across the organization
• Collaborate with cross-functional teams and stakeholders to deliver impactful data solutions
• Identify and implement innovative data tools and technologies
• Ensure reliability, performance, and continuous improvement of data pipelines and services
• Troubleshoot issues and support data-driven operations at scale

Our requirements

• 3–5 years of experience in Data Engineering
• Degree in Computer Science, Engineering, Mathematics, Physics, or a related field
• Strong experience in Python and SQL
• Solid background in system administration and shell scripting
• Strong problem-solving skills and analytical thinking
• Eagerness to learn and work with new technologies

Optional

• Experience with Azure cloud services
• Hands-on experience with Databricks and Apache Spark
• Knowledge of Big Data technologies (e.g. Hadoop, Kafka, NoSQL)
• Experience managing large-scale data clusters
• Familiarity with Docker and Kubernetes
• Experience with CI/CD pipelines and Infrastructure as Code
• Knowledge of infrastructure/configuration management tools
• Experience with private endpoints and cloud networking
• Understanding of virtualization concepts

What we offer

• We focus on long-term relationships based on fair principles and reliability
• Co-financing of the Multisport card and Medicover private healthcare
• Modern office available
• Team bonding activities, internal courses, conferences, certifications

Benefits