Data Engineer

At Pretius, we are looking for Data Engineer to a project for global-scale platform in the field of gaming and lotteries.

Project / Role

• 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

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

Nice to have:

• 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 do 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