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CCL114 Python Engineer Cybernetic Controls Limited. Location Information: Remote (Asia). CCL114 Python Engineer. Department: . Engineering. Employment Type: . Full Time. Location: . Remote (Asia). Description. Overview. CCL builds high quality automation frameworks and bespoke software solutions for our clients in the finance industry. With an aim to help organizations improve their operational processes and reduce overall risk and increase efficiency. Another key objective of CCL is to enable greater transparency for firms and regulators. CCL are also passionate about removing waste and making things simple. We want to help inspire a new generation of Robotics and Automation projects across industry that are focused on delivering a highly skilled virtual workforce with cognitive and robotic capabilities. The CCL team is focused on helping firms improve operational productivity and reduce challenges. Read more on the. . Cybernetic Controls website. .. Job Summary. We are seeking an experienced . Python Engineer. with strong skills in . PySpark. , . Test-Driven Development (TDD). , and modern delivery practices such as . CI/CD. and . trunk-based development. . The ideal candidate is passionate about building reliable, scalable data . pipelines. and delivering production-ready code with a fast, iterative cadence. Experience with automated testing across the software lifecycle is essential. . Key Responsibilities. . Design, implement, and maintain robust data pipelines using . PySpark. and . Python. . . . Write automated . unit. , . integration. , . performance. , and . end-to-end tests. to ensure high code quality. . . Follow . TDD. principles to develop maintainable and testable solutions. . . Work within a . CI/CD pipeline. and a . trunk-based development. workflow to support frequent, reliable deployments. . . Optimize PySpark jobs for performance, reliability, and scalability. . . Collaborate cross-functionally to define and deliver business-critical data solutions.. . Skills, Knowledge and Expertise. . Required Qualifications. . . 3+ years of Python programming experience, ideally in a data engineering or backend context. . . 2+ years of experience working with . PySpark. in production environments. . . Hands-on experience with . TDD. and a track record of writing comprehensive automated tests. . . Solid experience with . CI/CD pipelines. , Git, and . trunk-based development. workflows. . . Strong understanding of distributed data processing, Spark job optimization, and working with structured data formats (e.g., Parquet, JSON). . . Agile mindset and excellent collaboration skills. . . . Preferred Qualifications. . . Experience with orchestration tools such as . Apache Airflow. or . Luigi. . . . Familiarity with . AWS services. , especially: . . . AWS Glue. for serverless . ETL. pipelines . . . AWS Step Functions. for workflow orchestration . . Containerization experience using . Docker. and . Kubernetes. . . . Exposure to cloud-native data platforms like . AWS EMR. , . Azure Databricks. , or . GCP Dataproc. . . . Knowledge of data quality monitoring, observability, and error handling in data pipelines. . . Benefits. . Competitive . salary. package . . Private healthcare contribution . . Annual pay review . . Regular team socials . . Working within a culture of innovation and collaboration . . Opportunity to play a key role in a pioneering growth company. . Company Laptop will be provided. . .