Senior Data Engineer

• Design and deploy data architectures to unlock analytical and business value, including star schema modeling.
• Build and optimise ETL/ELT pipelines for diverse data sources using tools like Airflow and Airbyte.
• Develop automated, resilient data workflows in a cloud-native environment.
• Design tables, build solutions, and identify architecture improvements to enhance performance.
• Reduce execution time for existing scripts and optimise data processes.
• Write APIs or ETL jobs to move data across systems.
• Collaborate with cross-functional teams to deliver scalable, high-performance solutions.
• Mentor team members and contribute to engineering best practices.
• Take ownership of Jira tickets and deliver accountable outcomes., * Be part of a dynamic, outcome-driven team that values innovation and empowerment.
• Opportunity to lead, mentor, and shape the future of data engineering.
• Small teams, big impact: You’ll have the tools and freedom to innovate without unnecessary bureaucracy.
• Grow and thrive: They encourage creativity, continuous learning, and mastery of your craft.
• Real problems, real solutions: Work on meaningful challenges that make a difference for merchants worldwide.

• 4+ years advanced SQL experience (Oracle, PostgreSQL).
• Strong programming skills in Java or Groovy.
• Experience with DBT for data transformation and modelling (Senior-level expertise preferred).
• Familiarity with APIs (SOAP, REST), CI/CD tools (GIT, Jenkins), and Cloud concepts.
• Agile mindset with basic Agile experience, proactive problem-solving, and strong collaboration skills.

Bonus Points

• Knowledge of Snowflake Analytics Platform (highly desirable for Senior roles).
• Experience with automation and testing frameworks.