In-Demand Data processing analyst Jobs

AWS Data Engineer
Showtime Consulting —Sydney NSW
- Full-time
- Management
- SQL
- AWS
Quick Apply
4d
Senior Payroll Analyst
Culture Amp —Richmond VIC
- Microsoft Excel
- Health insurance
- Parental leave
5h
Senior Analyst/Company Accountant
RSM —Wagga Wagga NSW
- Full-time
- Microsoft Excel
- Management
- Customer service
6d
Senior Business Analyst- Investment (Calypso)
AustralianSuper —Melbourne VIC
- Full-time
- Analysis skills
- AI
- Communication skills
Senior Engineer
TJX Australia —Mascot NSW
- Full-time
- Azure
- Oracle
- Customer service
Commissions & Payroll Specialist
Smart Energy Group —Byron Bay NSW
- Full-time
- ERP systems
- Databases
- Administrative experience
Quick Apply
Marketing Executive - Warwick & Livingston
Vicinity Centres —Western Australia
- Full-time
- Management
- Sales
- Marketing
- Parental leave
Finance Manager
Rombola Family Farms —Griffith NSW
- Full-time
- Microsoft Excel
- ERP systems
- Finance
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Marketing & Operations Manager
DAB-Jones Lang LaSalle (NSW) Pty Ltd —Parramatta NSW
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- CRM software
Quick Apply
9d
Senior Palantir PySpark Developer
Nixil —Sydney NSW
- Full-time
- Azure
- SQL
- AWS
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JDE HR Payroll Consultant – Sydney & PAN Australia
Pyramid Global Technologies —New South Wales
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Principal Value Consultant
Guidewire Software —Sydney NSW
- Full-time
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Quantitative Analyst - Prediction Markets
Moreton Capital Partners —Australia
- Full-time
- Remote
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- Master's degree
- Bachelor's degree
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Opportunity to work in Australia - MUREX Testing
Novature Tech —Australia
- Management
- Agile
APS 5 - Multiple Data Positions
Australian Government - Department of Climate Change, Energy, the Environment and Water —Greater Adelaide SA
- $5 - $88,834 a year
- SQL
- Analysis skills
- Organisational skills
4h

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AWS Data Engineer

Showtime Consulting -
Sydney NSW

Quick Apply

Job Details

Full-time
4 days ago

Qualifications

Management
NoSQL
MongoDB
SQL
AWS
Machine learning
SDKs
APIs
Scalability
Agile
S3
Apache
Redshift
DynamoDB
AI
RDS database
Identity & access management

Full Job Description

Build real-time and batch data pipelines using AWS services
Develop scalable data platforms, governance and automation frameworks
Enable analytics, AI and machine learning through quality data solutions

Company Description
Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions. Based in Australia and New Zealand, we specialise in delivering secure, enterprise scale technology solutions across highly regulated environments. Our expertise spans cloud platforms, data engineering, and complex systems integration, supporting both commercial and government clients.

We partner with major organisations to deliver high impact programs that demand strong cloud, data, and analytics capability. Our focus is on building trusted relationships and delivering outcomes that enable long term business value.

The Role
We are seeking an experienced Senior AWS Data Engineer to join a high-performing data and analytics team. In this role, you will design, build, and support scalable data platforms, ingestion frameworks, and analytics solutions on AWS.

You will play a key role in developing real-time and batch data pipelines, implementing data governance and orchestration frameworks, and enabling advanced analytics, machine learning, and AI workloads. This is a hands-on role requiring strong AWS, Python, and data engineering expertise.

Key Responsibilities

Design and develop scalable data ingestion and processing frameworks across cloud environments.
Build and maintain real-time and batch data pipelines using AWS-native services.
Develop solutions using AWS SageMaker Unified Studio, including data discovery, engineering, governance, and analytics capabilities.
Create and optimise data transformation processes for large-scale analytical workloads.
Implement and manage workflow orchestration and pipeline automation.
Design and support data governance, monitoring, and observability solutions.
Build and maintain integrations with databases, APIs, streaming platforms, and external data sources.
Develop and manage data quality controls, validation processes, and operational monitoring.
Partner with analysts, data scientists, and business stakeholders to deliver data products and insights.
Contribute to engineering standards, reusable frameworks, and technical documentation.

What You'll Need

Strong experience designing and building cloud-based data platforms and pipelines.
Hands-on experience with AWS SageMaker Unified Studio, including data engineering and governance capabilities.
Strong Python development skills, including API integration and AWS SDK (Boto3).
Experience developing reusable ingestion frameworks across multiple data sources.
Strong experience with real-time and streaming data technologies such as AWS Kinesis, Kafka, or similar platforms.
Experience building and supporting batch data processing solutions using AWS Glue, Spark, or similar technologies.
Strong SQL and data transformation capabilities.
Experience with AWS services including Lambda, S3, DynamoDB, CloudWatch, SQS, SNS, API Gateway, and IAM.
Strong understanding of AWS networking, security, and access management.
Experience working with relational and NoSQL databases, including RDS, Redshift, DynamoDB, MongoDB, or similar technologies.
Experience implementing workflow orchestration using Apache Airflow (MWAA).
Ability to develop and maintain complex Airflow DAGs and automated workflows.
Strong understanding of monitoring, observability, alerting, and operational support.
Experience implementing data quality, logging, tracing, and performance monitoring solutions.
Familiarity with machine learning, AI, or generative AI tooling is advantageous.
Strong problem-solving, troubleshooting, and stakeholder engagement skills.
Experience working within Agile delivery environments.

Why Join Us?

Work on modern cloud-native data and analytics platforms.
Deliver high-impact solutions supporting advanced analytics, AI, and machine learning initiatives.
Collaborate with experienced engineers, architects, and data specialists.
Join a consulting culture focused on innovation, engineering excellence, and continuous improvement.
Benefit from strong career growth opportunities and exposure to leading AWS data technologies.

Quick Apply

Refine Your Search

data processing analyst jobs

AWS Data Engineer

Senior Payroll Analyst

Senior Analyst/Company Accountant

Senior Business Analyst- Investment (Calypso)

Senior Engineer

Commissions & Payroll Specialist

Marketing Executive - Warwick & Livingston

Finance Manager

Marketing & Operations Manager

Senior Palantir PySpark Developer

JDE HR Payroll Consultant – Sydney & PAN Australia

Principal Value Consultant

Quantitative Analyst - Prediction Markets

Opportunity to work in Australia - MUREX Testing

APS 5 - Multiple Data Positions

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