Middle Data Engineer (Snowflake)
About the position
We are looking for a Middle Data Engineer to join the Enterprise Data Platform (EDP) team. The role focuses on building, maintaining, and optimizing scalable data pipelines that power investment, risk, research, and analytics use cases across the organization. You will take ownership of end-to-end components, mentor junior engineers, and contribute to technical direction across projects.
Responsibilities
ā¢ Design, develop, and optimize EDP data pipelines using Python, Airflow, DBT, and Snowflake for scalable financial data processing.
ā¢ Build performant Snowflake data models and DBT transformations following best practices, standards, and documentation guidelines.
ā¢ Own ingestion, orchestration, monitoring, and SLA-driven workflows; proactively troubleshoot failures and improve reliability.
ā¢ Implement robust data quality, validation, reconciliation, and governance controls across datasets.
ā¢ Lead small-to-medium pipeline enhancements, refactoring initiatives, and cost/performance optimization efforts.
ā¢ Collaborate with analysts and platform teams, mentor junior engineers, participate in reviews, and contribute to reusable EDP frameworks.
Requirements
ā¢ 3ā5 years of experience in Data Engineering.
ā¢ Strong hands-on experience with Python, Snowflake, DBT, and Apache Airflow.
ā¢ Solid understanding of SQL, data warehousing concepts, and ELT patterns.
ā¢ Experience working with large-scale, structured financial datasets.
ā¢ Familiarity with Git, CI/CD, and agile delivery practices.
ā¢ Experience owning individual modules or pipeline components independently.
Nice-to-haves
ā¢ Experience in investment, risk, or financial data domains.
ā¢ Knowledge of performance tuning and cost optimization in Snowflake.
ā¢ Exposure to data quality frameworks and metadata management.
ā¢ Understanding of cloud platforms (AWS/Azure/GCP).
Benefits
ā¢ Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
ā¢ Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
ā¢ Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
ā¢ Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
ā¢ Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
ā¢ Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
ā¢ Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
Apply Now
Apply Now
We are looking for a Middle Data Engineer to join the Enterprise Data Platform (EDP) team. The role focuses on building, maintaining, and optimizing scalable data pipelines that power investment, risk, research, and analytics use cases across the organization. You will take ownership of end-to-end components, mentor junior engineers, and contribute to technical direction across projects.
Responsibilities
ā¢ Design, develop, and optimize EDP data pipelines using Python, Airflow, DBT, and Snowflake for scalable financial data processing.
ā¢ Build performant Snowflake data models and DBT transformations following best practices, standards, and documentation guidelines.
ā¢ Own ingestion, orchestration, monitoring, and SLA-driven workflows; proactively troubleshoot failures and improve reliability.
ā¢ Implement robust data quality, validation, reconciliation, and governance controls across datasets.
ā¢ Lead small-to-medium pipeline enhancements, refactoring initiatives, and cost/performance optimization efforts.
ā¢ Collaborate with analysts and platform teams, mentor junior engineers, participate in reviews, and contribute to reusable EDP frameworks.
Requirements
ā¢ 3ā5 years of experience in Data Engineering.
ā¢ Strong hands-on experience with Python, Snowflake, DBT, and Apache Airflow.
ā¢ Solid understanding of SQL, data warehousing concepts, and ELT patterns.
ā¢ Experience working with large-scale, structured financial datasets.
ā¢ Familiarity with Git, CI/CD, and agile delivery practices.
ā¢ Experience owning individual modules or pipeline components independently.
Nice-to-haves
ā¢ Experience in investment, risk, or financial data domains.
ā¢ Knowledge of performance tuning and cost optimization in Snowflake.
ā¢ Exposure to data quality frameworks and metadata management.
ā¢ Understanding of cloud platforms (AWS/Azure/GCP).
Benefits
ā¢ Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
ā¢ Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
ā¢ Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
ā¢ Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
ā¢ Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
ā¢ Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
ā¢ Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
Apply Now
Apply Now