Senior Developer (Spark/Scala)

• Lead end-to-end technical delivery of data engineering projects
• Architect, design, and implement scalable data pipelines and platforms
• Optimize workflows for data ingestion, processing, and storage (Spark, Airflow, Cloudera, DataBricks, Hive)
• Develop and maintain data lake solutions for structured and unstructured data
• Collaborate with global teams (business, data, and technology) to align solutions with organizational objectives
• Oversee code quality, CI/CD pipelines, versioning, and release management
• Write and review high-quality Scala/Spark code and contribute to automation
• Mentor and support engineers, fostering technical excellence and growth
• Ensure delivery is aligned with regulatory and compliance requirements
• Hands-on experience with testing Big Data solutions - unit tests, integration tests, E2E tests

• 7+ years of experience in Big Data systems and data management
• 3+ years of hands-on experience with Scala/Spark
• Hands-on with Big Data technologies like Spark, Cloudera, Data Platform, Airflow, Hive
• Excellent understanding of dimensional data and data modeling techniques
• Experience implementing and deploying solutions in cloud environments
• Ability to work independently and take ownership of project deliverables
• Fluent in English (at least C1 level)

Understanding AI tools and techniques and how they can contribute to increasing development efficiency

• Smart Office Pack so that you can work comfortably from home
• Training and career development
• Private medical insurance
• Life insurance
• Possibility to be part of a multicultural team and work on international projects
• Possibility to manage work-permits