Senior Data Engineer

• Design, build, and maintain scalable data pipelines for processing large volumes of data
• Develop and optimize ETL/ELT workflows for both batch and streaming data
• Work with cloud platforms (AWS, Azure, or GCP) to build modern data solutions
• Ensure data quality, reliability, and performance across systems
• Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions
• Support and improve existing data infrastructure and workflows
• Work with big data tools (e.g., Spark, Databricks, Kafka) to process and analyze large datasets

• 3-5 years of experience as a Data Engineer or in a similar role
• Strong skills in SQL and Python
• Hands-on experience with at least one cloud platform (AWS, Azure, or GCP)
• Experience working with big data technologies (e.g., Spark, Hadoop ecosystem, Databricks)
• Understanding of data modeling and data pipeline design
• Good communication skills and ability to work in a team
• Upper-intermediate English level

Experience with orchestration tools (e.g., Airflow) is a plus

• Mentorship Program
• Engaging Internal Life (internal activities, knowledge exchange, online challenges, Sigli Soft Skills School, local team gatherings)
• Hybrid work format (3-4 days a week in office)
• Culture built on ownership, transparency, and service
• Open communication, no bureaucracy, no micromanagement