Responsibilities

• Build, optimize, and maintain data processing pipelines to handle large-scale datasets
• Develop software solutions to integrate, transform, and analyze data effectively
• Collaborate with cross-functional teams, including data scientists, analysts, and cloud architects, to deliver high-quality solutions
• Ensure the reliability, scalability, and security of data systems
• Leverage cloud platforms to deploy and manage data solutions
• Work with distributed computing technologies like Apache Spark to process and analyze large datasets
• Monitor and debug systems, resolving issues, and optimizing performance
• Document technical processes and ensuring adherence to best practices
• Stay updated with the latest advancements in data engineering tools, frameworks, and technologies

Requirements

• 3+ years of experience in a data engineering role
• Proficiency in Python, with solid experience developing robust and scalable code
• Hands-on experience with cloud platforms (e.g., AWS, Microsoft Azure, or Google Cloud Platform) for deploying and managing data solutions
• Expertise in working with Apache Spark/PySpark for large-scale data processing
• Strong understanding of data modeling, ETL processes, and database design
• Familiarity with containerization technologies (e.g., Docker, Kubernetes)
• Knowledge of version control systems such as Git
• Excellent command of professional English, both written and verbal, to effectively communicate with the engineering team

Nice to have

• Experience with workflow orchestration tools (e.g., Apache Airflow)
• Familiarity with machine learning pipelines and tools
• Knowledge of CI/CD processes for automating deployments

We offer

• Opportunity to work in a fast-paced, agile, software engineering culture
• Benefit program (5 weeks of vacation, 5 paid sick days, meal vouchers, cafeteria and recreation bonuses, reimbursement of glasses, contribution to pension fund)
• Referral bonuses for recommended candidates
• English language courses
• Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more