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We are seeking a Data Engineer to contribute to the development of clean, scalable, and secure systems. This position offers the opportunity to join a highly collaborative, cross-functional team that deeply values robust architecture, thoughtful delivery, and clean code. In this role, you will be fully involved in building and maintaining complex data systems and APIs that support meaningful, real-world product outcomes. It is an ideal environment for an engineer who enjoys optimizing performance behind the scenes and working within a supportive, modern cloud ecosystem.
Job Responsibility
Build and maintain production-ready backend systems and high-performing data pipelines
develop and integrate secure RESTful APIs across a variety of internal and external enterprise systems
write and optimize complex SQL and PLSQL scripts to support large-scale data operations
partner closely with product, frontend, and data teams to deliver complete, end-to-end software solutions
assist with database tuning, schema design, and live environment performance management
contribute to backend architecture best practices, security protocols, and CI/CD deployment processes
Requirements
Advanced knowledge of SQL and PLSQL
strong capability in database performance tuning
solid commercial experience delivering backend systems using Python
proven skills in API development and integration (REST, JSON, OAuth)
familiarity with database administration principles and ETL/ELT pipelines
routine experience with version control (Git) and CI/CD workflows
Bachelor Degree
Nice to have
Exposure to cloud platforms (AWS, Azure, or GCP)
familiarity with containerisation tools (Docker, Kubernetes)
knowledge of modern data tools like dbt or Apache Airflow
What we offer
Competitive base salary aligned with your technical engineering experience
flexible hybrid work environment with modern cloud-based tools
direct involvement in end-to-end projects with visible product impact
continuation of your career alongside cross-functional technical experts