Senior Data Engineer (Snowflake/Databricks)

ai talent • Australia

Visa Sponsorship Relocation

Apply Now

AI Summary

We are seeking an experienced Data Engineer to design, build, and optimize scalable ELT/ETL data pipelines and warehousing architectures. The role requires expertise in Snowflake, Databricks, and dbt. The ideal candidate will have strong commercial experience and advanced SQL capabilities.

Key Highlights

Design and build production-grade data pipelines

Implement and manage Medallion/Lakehouse architectures

Optimize complex SQL queries and warehouse compute configurations

Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.

Key Responsibilities

Design, build, and maintain production-grade batch and real-time data pipelines

Implement and manage Medallion/Lakehouse architectures

Automate workflow orchestration and enforce CI/CD, automated testing, and deployment standards

Technical Skills Required

Snowflake Databricks dbt

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

Benefits & Perks

Visa sponsorship available

Relocation package provided

Full-time employment

Interested in relocating to Australia? Check out our comprehensive Relocation Jobs in Australia page with detailed relocation packages and benefits.

Nice to Have

Streaming architectures (Kafka, Flink, Delta Live Tables)

Snowflake SnowPro or Databricks Certified Data Engineer credentials

Experience with Infrastructure as Code (Terraform) for data platform provisioning

Job Description

We are partnering with an enterprise client to accelerate their modern data platform roadmap and lakehouse delivery. We are seeking an experienced Data Engineer (Snowflake / Databricks) to represent our organisation and take technical ownership of designing, building, and optimising scalable ELT/ETL data pipelines and warehousing architectures.

In this role, you will bridge heavy backend data engineering and analytics enablement within our client’s ecosystem. You will be instrumental in consolidating disparate data streams, building resilient Medallion architectures (Bronze/Silver/Gold), and deploying production-ready transformation pipelines using Snowflake, Databricks, dbt, and PySpark.

Want the full job description? Read the complete details on LinkedIn, the original posting.

Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.