Data Engineer

• Design, develop, and maintain scalable data processing solutions in cloud environments.

• Build, optimize, and support ETL pipelines, as well as data integration and transformation processes to ensure high-quality, reliable, and consistent data for analytics and reporting platforms.

• Collaborate with business stakeholders to analyze requirements, troubleshoot production issues, support end users, and deliver new functionalities using technologies such as Databricks, Spark, and Python.

• 4+ years of experience in Data Engineering, with strong hands-on expertise in Python, Spark, and Databricks.

• Strong knowledge of SQL and practical experience using PySpark to process and transform large-scale datasets.

• Proven experience in designing, building, and maintaining data pipelines, ETL/ELT workflows, and data integration solutions.

• Experience working with cloud-based data platforms; familiarity with Google Cloud Platform (GCP) is a plus.

• Strong analytical and problem-solving skills, with the ability to work effectively in a collaborative, international environment.

• Professional English proficiency (B2/C1 level).

• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.

• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.

• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

• Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.