Data & AI Engineer

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.