We are seeking a highly skilled Data Engineer to lead the design, development and maintenance of scalable data solutions in the cloud using modern technologies. This role is critical in driving data architecture pipeline automation and the integration of AI capabilities through tools like Copilot AI and machine learning model training. Responsibilities: - Design and maintain robust scalable and efficient data pipelines on AWS - Implement and optimize data transformation models using DBT - Develop data integration and processing solutions in Python - Manage and optimize databases in Snowflake and other relational environments - Orchestrate data workflows using Apache Airflow - Collaborate with BI teams to ensure data availability and quality for dashboards and reporting - Integrate AI tools such as Copilot to enhance productivity and task automation Qualifications and Skills: - Bachelor's degree in computer science software engineering or a related field - Professional/Advanced English skills - +5 years of experience as Data Engineer - Advanced SQL: strong skills in complex queries optimization and data modeling - Advanced AWS: hands-on experience with services like S3 Redshift Lambda Glue etc. - DBT (Data Build Tool): proven and mandatory experience - Advanced Python: scripting automation and data processing - Experience with Snowflake and Airflow - Familiarity with BI tools Power BI Tableau Looker etc. - Experience in machine learning model training - Familiarity with Apache technologies e.g. Spark Kafka - Experience with Terraform for Infrastructure as Code IaC Nice to Have: - Certifications in AWS DBT or Snowflake - Experience in Agile environments Scrum Kanban - Knowledge of DevOps and CI/CD practices At our organization we hire professionals based solely on their skills and do not discriminate based on age disability religion gender sexual orientation socioeconomic status or nationality