Job Description
Location
Melbourne VIC 3000•Hybrid work
Benefits
Pulled from the full job description
Work from home
Full job description
The Impact You'll Make
As a Lead Data Engineer in our team, you’ll be at the heart of our client’s next-generation capabilities. You’ll design and optimize the data pipelines, architectures, and platforms that feed our large-scale machine learning models.
What You'll Do
Design, build, and maintain high-performance, scalable data pipelines. Architect data storage and retrieval systems optimized for large-scale vector databases and embeddings.
Partner with product teams to translate business needs into data solutions that unlock new capabilities.
What You'll Bring
Proven experience in building large-scale data pipelines and distributed data processing systems.
Strong proficiency in Python,
Expertise with Google Cloud Platform services such as BigQuery, Dataflow, , GKE, CloudRun etc)
Nice to have:
- Argo Workflows
- Control-M or equivalent orchestration tool
- Collibra or equivalent data management tool
- Kubernetes
- Qlik Change Data Capture
- Aperture Data Studio - Experian or equivalent Data Quality tool
Strong problem-solving skills and the ability to work cross-functionally in a fast-paced environment.
Why You'll Love It Here
· Work on systems that impact billions of users globally.
· Access to cutting-edge infrastructure, tools, and research from one of the world’s leading IT service organizations.
· Flexible work arrangements and a culture that values innovation and inclusion.
Join Us
Ready to shape the future using Google Cloud Platform?
Apply with your resume and a brief note about a data project you’re most proud of.
We can’t wait to see what you’ll build.
Job Type: Full-time
Pay: $735.00 – $900.00 per day
Benefits:
Work from home
Work Location: Hybrid remote in Melbourne VIC 3000
Melbourne VIC 3000•Hybrid work
Benefits
Pulled from the full job description
Work from home
Full job description
The Impact You'll Make
As a Lead Data Engineer in our team, you’ll be at the heart of our client’s next-generation capabilities. You’ll design and optimize the data pipelines, architectures, and platforms that feed our large-scale machine learning models.
What You'll Do
Design, build, and maintain high-performance, scalable data pipelines. Architect data storage and retrieval systems optimized for large-scale vector databases and embeddings.
Partner with product teams to translate business needs into data solutions that unlock new capabilities.
What You'll Bring
Proven experience in building large-scale data pipelines and distributed data processing systems.
Strong proficiency in Python,
Expertise with Google Cloud Platform services such as BigQuery, Dataflow, , GKE, CloudRun etc)
Nice to have:
- Argo Workflows
- Control-M or equivalent orchestration tool
- Collibra or equivalent data management tool
- Kubernetes
- Qlik Change Data Capture
- Aperture Data Studio - Experian or equivalent Data Quality tool
Strong problem-solving skills and the ability to work cross-functionally in a fast-paced environment.
Why You'll Love It Here
· Work on systems that impact billions of users globally.
· Access to cutting-edge infrastructure, tools, and research from one of the world’s leading IT service organizations.
· Flexible work arrangements and a culture that values innovation and inclusion.
Join Us
Ready to shape the future using Google Cloud Platform?
Apply with your resume and a brief note about a data project you’re most proud of.
We can’t wait to see what you’ll build.
Job Type: Full-time
Pay: $735.00 – $900.00 per day
Benefits:
Work from home
Work Location: Hybrid remote in Melbourne VIC 3000
💡 Quick Summary
Seeking a career-building opportunity? The Lead Data Engineer position is now open for candidates interested in the Work from home Jobs sector. This role in Melbourne offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.