We are seeking a Software Engineer with strong experience in data engineering and cloud technologies. The ideal candidate will have a solid background in developing scalable data workflows, working with cloud platforms, and supporting machine learning infrastructure.

Responsibilities

• • Design, build, and maintain ETL pipelines using Airflow and Databricks
  • Develop and optimise data engineering workflows using Python
  • Perform data wrangling, transformation, and integration of APIs into cloud-based data warehouses
  • Contribute to the deployment and maintenance of production-ready data pipelines
  • Support MLOps workflows, including automation and monitoring of machine learning model deployment

Requirements

• • Proficient in Python for software development and data pipeline automation
  • Hands-on experience with Airflow, Databricks, and GCP
  • Strong understanding of data engineering concepts, including data ingestion, transformation, and orchestration
  • Familiarity with MLOps practices and tools
  • Experience working with cloud data platforms and APIs

Please send your CV to