Are you ready to be a part of a team that's redefining ultra-secure cloud solutions?

Join a team that’s shaping the future of cloud and cybersecurity.

At Showtime Consulting, we don’t just build ultra-secure cloud solutions—we enable organisations to thrive in the most challenging high-threat environments. If you’re truly passionate about innovation, security, and making a real impact, you’re in the right place.

We deliver security where it matters most—protecting national infrastructure, defence, and mission-critical operations. Our solutions are trusted by leading organisations, and our team is at the forefront of innovation in ultra-secure cloud and cross-domain security.

Our people are specialists in secure cloud, defence technology, and insider risk mitigation. We thrive in high-stakes environments, where cybersecurity isn’t just a requirement—it’s mission-critical. If you’re ready to contribute to industry-leading projects and grow in a company that values trust, innovation, and resilience, explore our open roles today.

Open Roles

We Are Always Looking For Talented Individuals.
Explore Our Current Opportunities And Find A Role That Matches Your Expertise.

Sydney

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, infrastructure, cybersecurity, business applications, data, and digital transformation programs.

We partner with government and enterprise organisations to build high-performing technology teams that deliver scalable, secure, and future-ready business solutions.

The Role





We are seeking an experienced Data Engineer to design, build, and support enterprise-scale data platforms and data integration solutions within Microsoft Azure environments.

This role is suited to a hands-on data professional with strong experience across data engineering, data warehousing, cloud-based analytics platforms, and modern data architectures. You will work closely with business stakeholders, solution architects, analysts, and development teams to deliver high-quality, trusted, and scalable data solutions that support reporting, analytics, and business decision-making.

You will play a key role in designing and optimising data pipelines, improving data quality, implementing governance controls, and driving best practices across the data ecosystem.

Key Responsibilities

- Design, develop, and maintain scalable and reliable data pipelines and ETL/ELT processes.
- Build and support Azure-based data platforms and enterprise data solutions.
- Develop data integration frameworks to ingest, transform, and deliver data from multiple source systems.
- Implement and support solutions using Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL.
- Design and optimise data warehouse and lakehouse architectures.
- Develop data transformation logic using Python, PySpark, and SQL.




- Create and maintain reusable data engineering frameworks, pipelines, and automation processes.
- Perform data modelling activities to support reporting, analytics, and operational requirements.
- Manage large-scale structured and unstructured datasets across cloud platforms.
- Monitor, troubleshoot, and optimise data pipelines to ensure performance, reliability, and scalability.
- Conduct root cause analysis and resolve complex data-related issues.
- Implement data validation, reconciliation, and quality assurance processes.
- Develop monitoring and alerting mechanisms to proactively identify data issues.
- Support data migration and modernisation initiatives.
- Collaborate with business and technical stakeholders to gather and analyse requirements.
- Translate business requirements into scalable technical solutions and data models.
- Implement and maintain data governance, security, and compliance controls.
- Ensure adherence to enterprise standards, privacy requirements, and data management policies.
- Produce technical documentation, data dictionaries, solution designs, and operational runbooks.
- Contribute to continuous improvement initiatives and cloud data platform best practices.
- Work within Agile delivery teams and participate in sprint planning, stand-ups, reviews, and retrospectives.

What You'll Need

- Minimum 5 years' experience in Data Engineering, Data Warehousing, or a related data-focused role.
- Demonstrated experience designing, developing, and maintaining scalable data pipelines and integration solutions.
- Solid hands-on experience with the Microsoft Azure Data Platform, including:
- Azure Data Factory (ADF)
- Azure Databri

📌 Azure Data Engineer (Sydney)
🏢 Showtime Consulting
📍 Sydney