Data Platform Engineer

CSK Nexus; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

CSK Nexus in Melbourne, Victoria seeks a Data Platform Engineer to design, build, and secure large-scale data environments across AWS. You will leverage AWS RDS and Redshift, implement scalable data models, and ensure compliance with enterprise security standards.

You will develop robust ETL/ELT pipelines in Python and SQL, optimise performance, and collaborate with data engineers, analysts, and business teams to drive platform roadmaps and governance.

Qualifications

• Experience as a Data Platform Engineer or Data Engineer in large organisations.
• Deep expertise with AWS RDS (Postgres/MySQL) and Amazon Redshift.
• Advanced Python and SQL skills for data engineering.
• Experience handling large datasets and high-volume pipelines.
• Strong AWS security background including IAM, KMS, VPC, encryption.
• Familiarity with ETL/ELT frameworks and data modelling.

Responsibilities

• Architect and build data solutions using AWS RDS and Redshift.
• Design scalable data models and ingestion patterns for high-volume datasets.
• Develop robust ETL/ELT pipelines with Python and SQL.
• Apply performance tuning and workload management across Redshift and RDS.
• Maintain data availability, reliability, and security in production.
• Collaborate with multiple teams to define platform roadmaps and standards.
• Document Runbooks and operational guidelines.

Skills

Python

SQL

Data modelling

ETL/ELT design

Big data experience

Tools

AWS RDS

Amazon Redshift

IAM

KMS

VPC

Security best practices

Job description

About the Role

We are seeking an experienced Data Platform Engineer to design, build, secure, and optimise large‑scale data environments across AWS. This role is ideal for someone who has worked in large organisations, managed high‑volume datasets, and brings deep expertise in RDS, Redshift, Python, SQL, and AWS security best practices. You will play a key role in ensuring our data platforms are scalable, resilient, and compliant with enterprise security standards.

Key Responsibilities

Data Platform Engineering

• Architect, build, and optimise data solutions using AWS RDS (Postgres/MySQL) and Amazon Redshift.
• Design scalable data models, schemas, and ingestion patterns for high‑volume structured datasets.
• Develop robust ETL/ELT pipelines using Python and SQL.
• Implement performance tuning, workload management, and query optimisation across Redshift and RDS.
• Support data availability, reliability, and operational excellence across production environments.

AWS Security & Governance

• Act as an AWS security specialist, ensuring compliance with enterprise security frameworks.
• Implement and maintain IAM, encryption (KMS), network segmentation, VPC security, and audit logging.
• Apply best practices for data protection, access control, secrets management, and governance.
• Work closely with security teams to manage risk, conduct reviews, and maintain secure data operations.

Large‑Scale Data Operations

• Manage and optimise large datasets, high‑volume ingestion, and complex data transformations.
• Support distributed data workflows, multi‑team access patterns, and enterprise‑wide data consumption.
• Troubleshoot production issues, resolve performance bottlenecks, and ensure platform stability.

Collaboration & Delivery

• Partner with data engineers, analysts, architects, and business teams across a large organisation.
• Contribute to platform roadmaps, standards, and continuous improvement initiatives.
• Maintain documentation, runbooks, and operational guidelines for data platform components.

Skills & Experience

Essential

• Strong experience as a Data Platform Engineer or Data Engineer in large organisations.
• Deep expertise with AWS RDS (Postgres/MySQL) and Amazon Redshift.
• Advanced Python and SQL skills for data engineering and automation.
• Proven experience handling large datasets, high‑volume pipelines, and enterprise data workloads.
• Strong background in AWS security, including IAM, KMS, VPC, encryption, and compliance controls.
• Experience with ETL/ELT frameworks, data modelling, and performance optimisation.

Desirable

• Experience with AWS Glue, Lambda, Step Functions, or orchestration tools.
• Familiarity with Terraform/CloudFormation for infrastructure automation.
• Knowledge of data governance, metadata management, and lineage tools.
• Exposure to event‑driven architectures (Kinesis, Kafka)