This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
MyEdSpace is an education technology platform that connects the best teachers on the planet with the students who need them the most - wherever they are, whatever their means. We're on a mission to make a world-class education accessible to all. We are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and platforms that power analytics, machine learning, and business decision-making. In this role, you will work closely with data analysts, product team and software engineers to ensure reliable, high-quality data is available across the organization. You will play a key role in shaping our data architecture and setting engineering best practices.
Job Responsibility:
Design, develop, and maintain robust, scalable data pipelines and ETL/ELT processes
Architect and optimize data warehouses, data lakes, and streaming solutions
Ensure data quality, reliability, security, and governance across all data systems
Collaborate with data analysts, and product teams to understand data requirements
Optimize performance and cost of data infrastructure in cloud environments
Implement monitoring, alerting, and logging for data workflows
Lead technical design discussions and contribute to data architecture decisions
Requirements:
Strong proficiency in SQL and at least one programming language (Python preferably)
Hands-on experience with data warehousing technologies (Snowflake preferably) and also the experience with classic OLTP databases (Postgres)
Experience building ETL/ELT pipelines using tools such as Airflow, dbt/datamesh
Understanding of semantic layers in BI applications (Looker/Holistics/Omni)
Solid understanding of data modeling, schema design, and performance optimization
Experience with AWS cloud platform
Familiarity with version control, CI/CD, and software engineering best practices
Knowledge of data governance, privacy, and compliance standards
Experience with streaming technologies (Kafka, Kinesis)
5+ years commercial experience as Senior Data Engineer