Are you passionate about building modern data platforms and driving cloud transformation initiatives at scale?

We are seeking 2 experienced Senior Data Engineers to join a high-profile enterprise data modernization program focused on cloud migration, scalable data architecture, and advanced analytics enablement.

This role offers an opportunity to work with cutting-edge technologies, large-scale datasets, and enterprise stakeholders to deliver robust, cloud-native data solutions that support critical business outcomes.

Key Responsibilities

- Design, develop, and optimize scalable data pipelines using modern cloud technologies.
- Lead and contribute to large-scale data migration initiatives from legacy platforms to AWS and Snowflake environments.
- Build robust ETL/ELT frameworks to support ingestion, transformation, and delivery of data across multiple business domains.
- Develop high-performance data solutions leveraging AWS services including S3, EMR, Redshift, and SageMaker .
- Design and implement cloud-native data architectures that are secure, scalable, and cost-efficient.
- Collaborate with Data Architects, Business Analysts, Data Scientists, and Engineering teams to deliver end-to-end data solutions.
- Drive data platform modernization through automation, best practices, and engineering excellence.
- Ensure data quality, reliability, governance, and performance standards are consistently met.
- Mentor junior engineers and promote engineering best practices across the team.

Required Skills & Experience





- Strong hands‑on experience with AWS Data Services (S3, EMR, Redshift, SageMaker)
- Advanced expertise in Snowflake
- Strong programming experience in Python
- Extensive experience in Big Data technologies and distributed processing frameworks
- Proven expertise in designing and developing complex ETL/ELT pipelines
- Advanced SQL development and performance tuning skills
- Experience working with enterprise‑scale cloud data platforms
- Robust understanding of data modelling, data warehousing, and analytics ecosystems

Ideal Candidate

- 8+ years of Data Engineering experience.
- Demonstrated success in large‑scale cloud migration programs .
- Experience delivering data platform modernization initiatives in complex enterprise environments.
- Strong problem‑solving and stakeholder management skills.
- Ability to work in Agile delivery environments and contribute to technical leadership.

Equality & Opportunity for All

Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, Aboriginal and Torres Strait Islander people or any other protected classification, in accordance with federal, state, and/or local law.

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📌 Senior Data Engineer (City of Sydney)
🏢 HCLTech - Australia and New Zealand
📍 City of Sydney