Strong Middle Data Engineer

Are you passionate about building scalable, high-performance data solutions? We are looking for a Data Engineer to join our team and help design and develop robust data platforms that power analytics, reporting, and data-driven decision-making.

Why join us? You will work on challenging projects, collaborate with talented experts, and have access to professional growth opportunities, a supportive environment, and competitive benefits.

• Design and develop scalable, reliable data platforms and pipelines for analytics and operations
• Implement data processing workflows using distributed frameworks (Apache Spark/pySpark, Databricks)
• Evolve the organization’s cloud data platform leveraging Azure technologies (Data Factory, Synapse, Event Hub, Azure Data Lake Storage)
• Model data to support analytics, reporting, and downstream consumption
• Integrate and process data from multiple sources ensuring quality and consistency
• Monitor and optimize pipeline performance, ensuring reliability and scalability
• Collaborate with analysts, scientists, and engineers to translate requirements into solutions
• Improve data engineering standards, testing, and operational reliability
• Evaluate and introduce new tools and technologies in the data engineering ecosystem

• 4+ years of hands-on experience in data engineering or building data processing platforms
• Strong SQL skills and solid Python experience for pipeline development
• Experience with distributed processing frameworks (Apache Spark/pySpark, Databricks preferred)
• Practical experience designing and implementing pipelines in cloud environments (Azure preferred)
• Experience with production-scale analytical systems and data modeling
• Understanding of ETL/ELT design, dimensional modeling, and data warehousing principles
• Experience with modern data lake architectures and formats (Parquet, JSON)
• Familiarity with workflow orchestration tools (Airflow)
• Experience with database development and optimization
• Ability to design scalable solutions with minimal supervision
• Strong collaboration and communication skills
• Professional proficiency in English