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Mid-level data engineering role with common tech stack and hybrid metro location drives high competition.
Core data engineering skills (Spark, Python, ETL, cloud) are highly transferable across industries.
Explicit 5+ years plus mandatory AWS, Spark/Databricks, Terraform, Python and CI/CD increase shortlisting strictness to high.
Architect, develop, and optimise AI and data platform solutions on cloud infrastructure aligned with product vision and business goals.
Own and maintain AI and data platform stack ensuring scalable, secure, and high-performance applications.
Lead, mentor junior engineers, and drive software project delivery on time, within budget, meeting quality standards.
5+ years experience in software/data engineering roles with cloud-native data solutions focus.
Proven expertise in AWS services including Lambda, S3, IAM, KMS, API Gateway.
Hands-on experience with Terraform or similar IaC tools and strong data engineering skills (Spark, AWS Glue, Databricks).
Bachelor’s or Master’s degree in Computer Science, Software/Data Engineering, or related field.
Experienced in leading technical teams with ability to mentor junior members and shape development practices.
Strong background in cloud engineering and data pipeline optimisation with practical knowledge of AI platform integration.
Ability to operate within regulated, multi-region system environments and familiarity with agile project delivery.