Senior Data Platform Engineer (GCP)

IT & Telecomms

IT - Other

VIC - Melbourne

Permanent / Full Time

7/7/2026

Mutiple Positions Available! Immediate Start

Doncaster Location - No City Traffic

Stable and Secure Organisation with an Exciting Future

The Company:

Our client is a well-established and highly respected organisation with a history spanning more than 70 years. Through continued growth, innovation and investment in technology, they have built a strong reputation for delivering exceptional outcomes while maintaining a collaborative and people-focused culture.

As part of a significant investment in data and analytics capabilities, the organisation is expanding its technology team and is seeking experienced Senior Data Engineers to help shape and deliver the future of its enterprise data platform.

This is an opportunity to work on meaningful projects, influence technical direction and contribute to the evolution of a modern cloud-based data environment.

We Offer:

Competitive salary package

Stable and secure long-term career opportunity

Hybrid working arrangements

Opportunity to influence data platform strategy and architecture

Exposure to modern cloud technologies and engineering practices

Supportive and collaborative team environment

Ongoing professional development opportunities

Access to employee discounts and benefits

The Role:

We are seeking an experienced Senior Data Engineer to play a key role in the design, development and ongoing evolution of our enterprise data platform.

This position is responsible for building and maintaining scalable data pipelines, delivering high-quality analytics datasets and driving best practices across data engineering, governance and platform operations. You will work closely with business stakeholders, analytics teams, data scientists and software engineers to ensure data is trusted, accessible and able to support business decision-making.

The successful candidate will bring strong hands-on Google Cloud Platform (GCP) experience and demonstrated ownership of enterprise-scale data platforms. This role requires a blend of technical expertise, platform thinking and a commitment to engineering excellence.

Key Responsibilities:

Help own and evolve the enterprise data platform and engineering standards

Design, build and maintain scalable batch and streaming data pipelines

Develop and optimise enterprise analytics datasets and data products

Design and support cloud-native data solutions within Google Cloud Platform

Contribute to the architecture, governance and continuous improvement of the enterprise data platform

Build and maintain ELT/ETL processes using modern data engineering tools and frameworks

Develop and maintain data models that support reporting, analytics and business intelligence requirements

Implement and maintain data quality, testing and monitoring frameworks

Contribute to CI/CD pipelines and Infrastructure-as-Code practices

Optimise platform performance, reliability, security and cost management

Collaborate with business stakeholders and technical teams to understand and deliver data requirements

Support platform governance, lineage, observability and compliance initiatives

Mentor team members and contribute to engineering standards and best practices

Key Criteria:

Minimum 7 years' commercial experience as a Senior Data Engineer, Lead Data Engineer or Data Platform Engineer

Bachelor's degree in Computer Science, Information Systems, Data Engineering,

Analytics or a related discipline

Demonstrated experience designing, building and supporting enterprise-scale data platforms within Google Cloud Platform (GCP)

Strong experience with BigQuery and Google Cloud-native data architectures

Proven experience building scalable batch and streaming data solutions using:

BigQuery

Cloud Storage

Dataform or dbt

Cloud Composer (Airflow)

Dataflow

Pub/Sub

Cloud Run

Strong experience developing and productionising ELT pipelines and analytics datasets

Experience establishing and maintaining engineering standards including code reviews, testing, CI/CD and governance frameworks

Strong SQL skills including performance optimisation, partitioning, clustering and query tuning

Advanced Python skills for data engineering and automation

Strong experience with dimensional modelling, Data Vault modelling and enterprise data architecture principles

Experience implementing data quality frameworks, monitoring and observability solutions

Strong understanding of security, governance, lineage, reliability and cost optimisation within cloud platforms

Experience with Git, CI/CD pipelines and Infrastructure-as-Code tools such as Terraform

Experience working collaboratively across technical and business teams

Highly Desirable:

Experience within Insurance, Financial Services or Banking environments

Experience leading platform modernisation or cloud migration initiatives

Experience with Looker and LookML semantic modelling

Experience with Microsoft Azure, Databricks, Snowflake or AWS environments

Google Cloud certifications

Experience with Microsoft Power BI

Technology Stack:

Google Cloud Platform (GCP)

BigQuery

Cloud Storage

Dataform / dbt

Cloud Composer (Airflow)

Dataflow

Pub/Sub

Cloud Run

Looker / LookML

Python

SQL

Git

Terraform

CI/CD Tooling

Please note: A criminal background check and written technical assessment will form part of the recruitment process.