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Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)

🗓️ Posted 2026-08-19 Sydney, New South Wales, Australia Full-time On-site ICT

Company shared salary

NA

Market rate

A$12,000–A$18,000/mo (A$144,000–A$216,000/yr)

Based on similar roles (title + domain + location).

About the Company

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. JOB DESCRIPTION About the Service Line: Capgemini Global Insights & Data business line is a market leader in Data Engineering, Cloud Data Platforms, Data Science, and AI and Advanced Analytics across all sectors including financial services, public sector, consumer products, telecommunication & energy resources. Our offerings include end-2-end data integration to cloud platforms, complete suite of data engineering capabilities and a category of sector-based advanced analytics and AI driven solutions. This is a unique opportunity within the Insights & Data (I&D) Global Business Line (GBL) to help grow the data, AI and Data Science engagements across all sectors in Australia and New Zealand. You will help shape and deliver complex projects and programs of work for our clients. You will understand our client's need to bring maximum value, impact, and innovation to the market as you oversee the delivery of client engagements for data and AI initiatives. Let's talk about the roles and responsibilities: Design, develop, and maintain scalable real-time, event-driven, CDC-ba

Requirements

  • ● Strong hands-on experience with Python and SQL for data engineering,
  • ● transformation, and automation.
  • ● Extensive experience designing and implementing data solutions on
  • ● AWS- including services such as S3, Glue, Lambda, EMR, Kinesis, MSK,
  • ● Flink EventBridge, Redshift, Step Functions, and related data services.
  • ● Strong expertise in Snowflake, including data modelling, performance tuning,
  • ● workload optimization, security, and administration.
  • ● ingestion architectures.
  • ● Solid understanding of ETL/ELT frameworks, distributed data processing, and
  • ● modern data engineering patterns.
  • ● (e.g., Git), and infrastructure automation.
  • ● Knowledge of data governance, data quality frameworks, metadata management,
  • ● security, and compliance requirements.
  • ● cloud environments.
  • ● WHAT YOU'LL LOVE ABOUT WORKING HERE:
  • ● Exposure to transformational programs in AI & Data portfolio.
  • ● Career growth through learning platforms, certifications, and global
  • ● Inclusive culture backed by our "Inclusive Future for All" commitment.
  • ● Competitive total rewards and recognition programs.
  • ● Capgemini is an AI-powered global business and technology transformation