Hybrid Staff Data Engineer – AWS Cloud, AI

Posted 4 weeks ago

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About the role

  • Design and build next-gen data platforms and pipelines using Python, PySpark, or Scala
  • Integrate data from diverse sources into centralised lakes and cloud platforms
  • Create technology blueprints and engineering roadmaps for long-term transformation
  • Ensure data security, governance, and compliance
  • Deliver end-to-end solutions that meet business needs and minimise risk
  • Build high-quality, scalable data products from scratch
  • Communicate effectively with stakeholders and contribute to team-wide engineering practices

Requirements

  • AWS Certified Data Engineer Associate with demonstrable experience in Data Engineering
  • Strong expertise in Python, PySpark, SQL, Spark, Scala and distributed data processing
  • Experience in AWS data platforms (Glue, Lambda, Redshift, Athena, Kinesis, EMR)
  • Experience with AWS DataZone, Lake Formation, IAM, encryption
  • Experience in using AI Powered coding Assistants like Cline, Roo and Aider
  • Exposure to AWS Marketplace, API Gateway, and data monetization strategies
  • Experience with Terraform, CloudFormation, GitOps, and serverless frameworks
  • Ability to fine-tune ETL jobs, query performance, and cost efficiencies
  • Experience with Snowflake, or Apache Iceberg
  • Knowledge of data product thinking and data mesh principles

Benefits

  • Flexible working arrangements
  • Professional development

Job title

Staff Data Engineer – AWS Cloud, AI

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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