GCP Data Engineer

Virtusa

AUonsitePosted May 4, 2026
Posting intelligenceMay be filled, listed long agoReposted 3×, possible evergreen/ghost posting

Skills

terraformpythoncicdgooglecloud

About the role

Location: Sydney, New South Wales, Australia

Date Posted: 04/05/2026

Job description

Role Description & Requirements

Lead technical architecture and solution design for large scale data platform solutions

Interact with customer’s data engineering team to provide opinionated guidance on

data and analytics platform architecture, best practices, solution design and

development

Independently develop solutions, i.e., perform hands on coding for the designed

solution, handover developed solution to customer’s technical team

Perform pair programming with customer’s data engineers

Project manage small to mid sized projects, managing scope, priorities, deliverables,

risks/issues, and timelines for successful outcomes

Collaborate with cross-disciplinary project team, play the role of workstream or overall

project tech lead depending on size and scale of project / program

Minimum Qualifications

Expertise Required

In-depth knowledge and experience of GCP data and analytics technologies

Designing data platform architecture and design for (a) migrating open source

or other public cloud based data platforms to to GCP cloud native technologies

(not just lift and shift migration but re-engineering to native services) (b)

Designing green field data platforms on cloud

Define solution architecture and detailed design, and perform hands-on

implementation for

data pipelines for batch and event driven ingestion and processing of

data from a variety of sources such as on-prem files, on-prem

databases, APIs, etc.

data pipelines for real time data ingestion and processing

Automatic transpilation of legacy code (HIVE, Teradata, python logic etc.) to BQ

SQL

BQ query performance optimisation

CI/CD pipelines for data workloads using Cloud Build, Artifact Registry,

Terraform

Data governance solutioning using GCP governance tooling

Qualifications

Role Description & Requirements:

Lead technical architecture and solution design for large scale data platform solutions

Interact with customer’s data engineering team to provide opinionated guidance on

data and analytics platform architecture, best practices, solution design and

development

Independently develop solutions, i.e., perform hands on coding for the designed

solution, handover developed solution to customer’s technical team

Perform pair programming with customer’s data engineers

Project manage small to mid sized projects, managing scope, priorities, deliverables,

risks/issues, and timelines for successful outcomes

Collaborate with cross-disciplinary project team, play the role of workstream or overall

project tech lead depending on size and scale of project / program

Minimum Qualifications

Expertise Required

In-depth knowledge and experience of GCP data and analytics technologies

Designing data platform architecture and design for (a) migrating open source

or other public cloud based data platforms to to GCP cloud native technologies

(not just lift and shift migration but re-engineering to native services) (b)

Designing green field data platforms on cloud

Define solution architecture and detailed design, and perform hands-on

implementation for

data pipelines for batch and event driven ingestion and processing of

data from a variety of sources such as on-prem files, on-prem

databases, APIs, etc.

data pipelines for real time data ingestion and processing

Automatic transpilation of legacy code (HIVE, Teradata, python logic etc.) to BQ

SQL

BQ query performance optimisation

CI/CD pipelines for data workloads using Cloud Build, Artifact Registry,

Terraform

Data governance solutioning using GCP governance tooling

Key Job Details

Primary Location

Sydney, New South Wales, Australia

Job Type

Experienced

Required Experience

7

Skill

CIS-GCP Infra - Native.

Travel

No

Date Posted

04/05/2026

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Data Engineer roles in Australia varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for Australia medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.