In-Demand Data engineer (databricks, gcp, aws) Jobs in Parramatta, Nsw

Senior Data Engineer (Databricks, GCP, AWS)
Simple Machines —Sydney NSW
- Full-time
- Hybrid work
- SQL
- AWS
- Bachelor's degree
Quick Apply
Databricks Engineer
Accenture —Sydney NSW
- Full-time
- Azure
- Management
- DevOps
- On-the-job training
- Parental leave
Senior Data Engineer
Vivanti Consulting —The Rocks NSW
- $100,000 - $180,000 a year
- Full-time
- Microsoft Word
- Azure
- Computer Science
Quick Apply
5d
Fabric Engineer
BI&DW Australia —Sydney NSW
- $120,000 - $190,000 a year
- Full-time
- Azure
- AWS
- Analytics
Quick Apply
Director - Data Platform Engineering
Simple Machines —Sydney NSW
- Hybrid work
- Azure
- AWS
- AI
Quick Apply
Principal Data Platform Engineer
Simple Machines —Sydney NSW
- Hybrid work
- SQL
- AWS
Quick Apply
Senior Databricks Specialist Lead | AI & Data | Sydney
Deloitte —Sydney NSW
- Azure
- Salesforce
- SQL
- Parental leave
AI Engineer - FDE (Forward Deployed Engineer)
Databricks —Sydney NSW
- Azure
- Computer Science
- AWS
Migrations Solutions Architect, Sales
Snowflake —Sydney NSW
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior Manager, Global Premier Support
Databricks —Sydney NSW
- Azure
- Computer Science
- Sales
5d
Principal Data Consultant (Advanced Analytics & AI)
Intelligen Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- AI
Quick Apply
Lakebase Specialist Sales
Databricks —Sydney NSW
- Azure
- Sales
- Databases
10d

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data engineer (databricks, gcp, aws) jobs near parramatta, nsw

Senior Data 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

data engineer (databricks, gcp, aws) jobs in parramatta, nsw

Senior Data Engineer (Databricks, GCP, AWS)

Databricks Engineer

Senior Data Engineer

Fabric Engineer

Director - Data Platform Engineering

Principal Data Platform Engineer

Senior Databricks Specialist Lead | AI & Data | Sydney

AI Engineer - FDE (Forward Deployed Engineer)

Migrations Solutions Architect, Sales

Senior Manager, Global Premier Support

Principal Data Consultant (Advanced Analytics & AI)

Lakebase Specialist Sales

Related jobs to explore

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