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We are seeking a Backend & Data Engineering Specialist to design, build and operate scalable backend services, data pipelines and analytics workflows on Google Cloud Platform (GCP). This role combines Python-based API development, data engineering and applied machine learning, supporting analytics-driven solutions while working closely with product, DevOps, data and security teams in an Agile delivery environment.
Job Responsibility
Design, develop and maintain backend services using Python frameworks such as Flask and FastAPI
Build, optimise and support data pipelines and analytics workflows using BigQuery and SQL
Develop containerised applications using Docker and manage source code through Git
Implement and maintain machine learning solutions, including time-series forecasting and regression models
Support ETL and data transformation workflows, with exposure to PySpark-based processing
Deploy, monitor and manage applications on Google Cloud Platform (GCP)
Ensure applications comply with security, governance and data protection standards
Actively participate in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews and retrospectives
Collaborate closely with Product Owners, DevOps, Data and Security teams within an Agile/Scrum setup
Take ownership of deliverables and contribute to continuous improvement in Agile execution
Requirements
Python
Flask
FastAPI
BigQuery
SQL
Docker
Git
machine learning
time-series forecasting
regression models
ETL
data transformation
PySpark
Google Cloud Platform (GCP)
Agile
Scrum
What we offer
Opportunity to work on cloud-native backend and data platforms using Google Cloud technologies
Exposure to analytics-driven and machine learning–enabled solutions
Collaboration with cross-functional teams in a modern Agile delivery environment
A role that balances engineering ownership with continuous improvement and learning