About the role
Responsibilities Develop, test and maintain ETL/ELT pipelines into the data lake and data marts Implement web scraping solutions Optimise performance and cost of data workloads Apply data modelling standards for reporting, analytics and AI/ML use cases Contribute to the evolution of the cloud data architecture Support productionisation of ML/AI and LLM solutions through reliable pipelines Expose curated, documented datasets for self-service reporting Apply data governance, quality and security best practices Partner with stakeholders to translate data requirements into technical solutions Contribute to code reviews, documentation, testing and CI/CD practices Requirements Hands-on data engineering on Snowflake, Databricks, Azure, GCP or AWS Strong Python and SQL programming skills Experience building ETL/ELT pipelines with AWS Glue, dbt, Informatica, Talend or similar Experience with analytical frontend tools such as Power BI, Tableau or SAP Analytics Cloud Exposure to LLMs, generative AI and agentic AI workflows Experience delivering CI/CD and DevOps in a data environment Bachelor's or master's degree in computer science, statistics, mathematics or related At least 5 years of experience in a similar role Preferred Qualifications Working knowledge of SAP HANA data modelling Benefits International environment Private health insurance Hybrid working model Training and development Performance bonus About the Company ATOM Technologies Limited works on FinTech innovation for its customers.