In-Demand Python Jobs in Canberra, Act

Senior AWS Data Engineer
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- CRM software
- SQL
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Security Engineer
DXC Technology —Canberra ACT
- Full-time
- Azure
- AWS
- Scripting
Senior Domain Consultant - Security Operations Transformation
Palo Alto Networks —Canberra ACT
- Full-time
- Scripting
- In-person
IBM DataPower Engineer
Leidos —Canberra ACT
- Full-time
- Annual leave
Senior Consultant
Red Hat, Inc. —Canberra ACT
- Contract
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- DevOps
- Administrative experience
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Principal Cloud Architect - Federal Government
Verizon —Lyneham ACT
- Azure
- Computer Science
- SQL
- Work from home
Senior_Security-Engineer
Pyramid Global Technologies —Canberra ACT
- Azure
- DevOps
- Engineering
IAM Engineer
Leidos —Canberra ACT
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- Scripting
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Senior DevOps Engineer
Datacom —Canberra ACT
- Full-time
- Hybrid work
- DevOps
- Research
- AWS
- Work from home
- Parental leave
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Principal Engineer - Cloud & DevOps
LAB3 —Canberra ACT
- Call employer
- Hybrid work
- Azure
- Management
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Cellebrite —Canberra ACT
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Macquarie Technology Group —Canberra ACT
- Full-time
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- Communication skills
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Senior AWS Data Engineer

Showtime Consulting -
Canberra ACT

Apply Now

Job Details

7 days ago

Qualifications

CRM software
CI/CD
Test automation
SQL
AWS
Data pipeline
Telecommunication
Siebel
S3
Teradata
Redshift
Communication skills
Data warehouse
Analytics

Full Job Description

Company Description
Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across cloud, data, DevSecOps, platform engineering, and digital transformation programs.

We partner with major organisations to build high-performing technology teams and deliver innovative cloud-native solutions that improve reliability, scalability, security, and operational efficiency.

The Role
We are seeking an experienced Senior AWS Data Engineer to join a high-performing data and analytics team.

This is a hands-on role focused on designing, building, and supporting scalable data pipelines and curated data platforms on AWS. You will work across large-scale enterprise environments, helping to ingest, transform, and deliver trusted data assets that support reporting, analytics, operational decision-making, and downstream applications.

The ideal candidate will bring strong AWS data engineering expertise, advanced SQL and Python skills, and experience building modern ETL/ELT solutions using AWS native services, dbt, and orchestration platforms such as Airflow.

Key Responsibilities

Build and support AWS data pipelines and ETL/ELT workflows.
Develop data ingestion and transformation solutions using SQL, Python, and PySpark.
Create curated datasets for reporting, analytics, and downstream applications.
Implement data quality, monitoring, and operational support processes.
Collaborate with analysts, data scientists, and stakeholders to deliver data solutions.
Support DataOps practices, CI/CD, documentation, and production deployments.
Optimise pipeline performance and workflow orchestration.

What You'll Need
Extensive Data Engineering experience in enterprise environments.
Strong AWS data platform experience across S3, Glue, Redshift, Athena, EMR, and dbt.
Advanced SQL and strong Python development skills.
Experience with PySpark and/or Apache Spark.
Hands-on experience with Teradata and Siebel CRM datasets.
Experience with Airflow or similar orchestration tools.
Solid understanding of data warehousing and modern data architecture concepts.
Strong stakeholder engagement and communication skills.

Desirable Skills
Telecommunications industry experience.
Experience with real-time or streaming data pipelines.
Exposure to Lakehouse and modern analytics architectures.
Experience with automated testing and DataOps practices.
Experience working on large-scale transformation programs.

Why Join Us?
Work on enterprise-scale AWS data and analytics initiatives.
Build modern cloud-native data platforms and pipelines.
Collaborate with experienced data, cloud, and engineering specialists.
Influence data engineering standards and best practices.
Gain exposure to cutting-edge AWS and DataOps technologies.

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