In-Demand Snowflake data engineer Jobs

Senior Data Platforms Engineer (Databricks, GCP, AWS)
Simple Machines —Sydney NSW
- Full-time
- Hybrid work
- SQL
- AWS
- Bachelor's degree
Quick Apply
Senior Software Engineer (Tech Enablement Team)
Amber Electric —Melbourne VIC
- $155,000 - $200,000 a year
- Full-time
- Hybrid work
- DevOps
- AWS
- Software development
- Annual leave
- Work from home
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Specialist Data Compliance
The Perth Mint —Perth Eastern Suburbs WA
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- Employee discount
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Snowflake —Barangaroo NSW
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Officeworks —Chadstone VIC
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EPAM Systems, Inc. —Sydney NSW
- Azure
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Director Technology - Data Platforms
Simple Machines —Sydney NSW
- Hybrid work
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Senior Databricks Specialist Lead | AI & Data | Sydney
Deloitte —Sydney NSW
- Azure
- Salesforce
- SQL
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Westpac Group —Sydney NSW
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InfoCentric —Melbourne VIC
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Lead Data Engineering Consultant
Ippon Technologies —Melbourne VIC
- Full-time
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Senior Forward Deployed Engineer
Accenture —Canberra ACT
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Senior Solutions Engineer - Perth
Snowflake —Perth WA
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Principal Solution Engineer
Snowflake —Barangaroo NSW
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Principal - Technical Business Analyst, Data Products & Platforms
Simple Machines —Sydney NSW
- Hybrid work
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Quick Apply
Principal Platform Engineer
Commonwealth Bank —Sydney NSW
- Full-time
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Solution Engineer
Snowflake —Melbourne VIC
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16h
Regional Deployment Engineer
Varonis —Sydney NSW
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Senior Analyst
Publicis Groupe Holdings B.V —Pyrmont NSW
- $130,000 - $160,000 a year
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2d
ML Engineer
Cognizant —Sydney NSW
- Full-time
- Hybrid work
- Salesforce
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2d

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Senior Data Platforms Engineer (Databricks, GCP, AWS)

Simple Machines
Sydney NSW

Quick Apply

Job Details

Full-time

Qualifications

CI/CD
Data modelling
Cassandra
NoSQL
Google Cloud Platform
MongoDB
SQL
AWS
Bachelor's degree
PostgreSQL
Neo4j
Terrafrom
Data pipeline
GitHub
Agile

Full Job Description

Senior Data Engineer - Enterprise Data Platforms

Who We Are

Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, Poland and San Francisco. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI.

We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle.

We don’t do generic. We build things that matter - We engineer data to life™.

Requirements

The Role

This is a hands-on senior engineering role, not an architecture-only seat and not a support function.

You’ll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You’ll work in small, high-calibre teams and operate close to both the problem and the client.

If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes — this is your lane.

What You’ll Be Doing

Build Modern Data Platforms

Design and deliver cloud-native data platforms using Databricks, Snowflake, AWS, and GCP
Apply modern architectural patterns: data mesh, data products, and data contracts
Integrate deeply with client systems to enable scalable, consumer-oriented data access

Develop High-Performance Pipelines

Build and optimise batch and real-time pipelines
Work with streaming and event-driven tech such as Kafka, Flink, Kinesis, Pub/Sub
Orchestrate workflows using Airflow, Dataflow, Glue

Work at Scale

Process and transform large datasets using Spark and Flink
Design systems that perform in production - not just on paper

Own Data Storage & Performance

Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB)
Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro)

Cloud, Security & Governance

Implement secure, compliant data solutions with security by design
Embed governance without killing developer velocity

Consult and Influence

Work directly with clients to understand problems and shape solutions
Translate business needs into pragmatic engineering decisions
Act as a trusted technical advisor, not just an order taker

What We’re Looking For

Core Engineering Strength

Strong Python and SQL
Deep experience with Spark and modern data platforms (Databricks / Snowflake)
Solid grasp of cloud data services (AWS or GCP)

Data Platform Experience

Built and operated large-scale data pipelines in production
Strong data modelling capability and architectural judgement
Comfortable with multiple storage technologies and formats

Engineering Discipline

Infrastructure-as-code experience (Terraform, Pulumi)
CI/CD pipelines using tools like GitHub Actions, ArgoCD
Data testing and quality frameworks (dbt, Great Expectations, Soda)

Nice to Have

JVM or systems languages (Scala, Java, Go, Rust)
Graph or specialised stores (Neo4j, Cassandra)

Delivery & Consulting Mindset

Experience in consulting or professional services environments
Comfortable working in agile teams
Able to engage stakeholders and drive outcomes, not just ship code

Benefits

Why Simple Machines

You’ll work on interesting, high-impact problems
You’ll build modern platforms, not maintain legacy mess
You’ll be surrounded by senior engineers who actually know their craft
You’ll have autonomy, influence, and room to grow

If you’re a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.

Quick Apply

Refine Your Search

snowflake data engineer jobs

Senior Data Platforms Engineer (Databricks, GCP, AWS)

Senior Software Engineer (Tech Enablement Team)

Specialist Data Compliance

Senior Technical Support Engineer, Observe by Snowflake

AI Engineer

Senior Manager, Data Analytics Consulting

Director Technology - Data Platforms

Senior Databricks Specialist Lead | AI & Data | Sydney

Senior Informatica Engineer (Sydney)

Data Architect

Lead Data Engineering Consultant

Senior Forward Deployed Engineer

Senior Solutions Engineer - Perth

Principal Solution Engineer

Principal - Technical Business Analyst, Data Products & Platforms

Principal Platform Engineer

Solution Engineer

Regional Deployment Engineer

Senior Analyst

ML Engineer

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