About Us ALOIS Australia is a leading Talent and Technology Solutions company, focused on helping businesses across the country build stronger teams, smarter processes, and sustainable growth.

We work with organisations in diverse industries to deliver integrated workforce and technology solutions, from innovative hiring strategies to end-to-end digital transformation. Our approach combines data, insight, and human expertise to help clients solve complex workforce challenges with clarity and confidence.

Through our deep industry experience and commitment to excellence, we provide scalable, high-performance solutions that deliver measurable impact. Whether it’s onshore project delivery, workforce optimisation, or specialised technology services, ALOIS Australia ensures results that truly make a difference.

From Sydney to Perth and everywhere in between, we’re driven by one purpose: to empower Australian businesses and professionals to thrive in a rapidly changing world of work. At ALOIS Australia, every challenge is an opportunity to innovate, and every partnership is built on trust, transparency, and long-term success.

Job Title – Data Engineering Lead

Job Location – Brisbane

Employment Type – Contract/FTC

Position Summary What role you will play in Team:

The Data Engineering Lead is responsible for the end-to-end ownership, governance, delivery, support, optimization, and strategic roadmap of the organization's Digital Engineering and Data Platforms. This role provides leadership across data integration, data warehousing, analytics, automation, reporting, AI-enabled data platforms, and enterprise application ecosystems.

The role will oversee a portfolio comprising Microsoft Fabric, Azure Synapse Analytics, Data Lake, Informatica, Azure Integration Services, Power BI, Power Automate, Nintex, UiPath, GitHub, SecurePay, Message Exchange Portal, Blue Care Application, and associated enterprise platforms. The individual will drive data modernization initiatives,



ensure operational excellence, maintain platform reliability, and lead teams delivering data-driven business outcomes.

Key Responsibilities Data Platform Leadership

- Own enterprise data platform strategy, architecture, governance, and roadmap.
- Lead modernization of Azure Data Lake, Synapse, and Microsoft Fabric environments.
- Ensure scalable, secure, and cost-effective data engineering solutions.
- Define enterprise data standards, data quality frameworks, and metadata management practices.
- Support advanced analytics, reporting, AI, and business intelligence initiatives.

Data Integration & ETL Management

- Manage enterprise integrations using:

- Informatica

- Azure Integration Services

- Message Exchange Portal
- APIs and event-driven integrations
- Govern ETL/ELT pipelines and enterprise data flows.
- Ensure data availability, integrity, consistency, and performance across platforms.

Analytics & Business Intelligence

- Lead enterprise Power BI strategy and service delivery.
- Establish BI governance and reporting standards.
- Partner with business stakeholders to deliver actionable insights and executive dashboards.
- Drive self-service analytics adoption.

Service Delivery & Operations

- Own service management processes aligned to ITIL standards.
- Manage L2/L3 support teams and vendor engagements.
- Ensure SLA, KPI, availability, and performance targets are achieved.
- Drive incident, problem, change, and release management activities.
- Establish operational dashboards and executive reporting.

Stakeholder Management





- Collaborate with business leaders, architects, security teams, vendors, and external partners.
- Translate business requirements into scalable technical solutions.
- Present platform roadmaps, risks, and performance metrics to senior leadership.

Governance & Compliance

- Ensure compliance with enterprise security, privacy, and regulatory requirements.
- Implement data governance and access management frameworks.
- Maintain audit readiness and risk mitigation controls.

Team Leadership

- Lead and mentor Data Engineers, Data Analysts, Integration Specialists, BI Developers, and Platform Engineers.
- Drive capability development and technical excellence.
- Foster a culture of innovation, automation, and continuous improvement.

Required Experience

- 10+ years in Data Engineering, Analytics, Integration, or Enterprise Applications.
- 5+ years leading enterprise-scale data and integration platforms.
- Experience managing production support and application delivery teams.
- Proven experience delivering cloud-based data modernization programs.
- Strong stakeholder management experience across business and technology teams.
- Experience managing multiple vendors and managed service providers.

Demonstrate solid written and verbal communication skills to interact effectively with stakeholders, end users, and cross-functional teams, Stay Connected With Us Learn more about ALOIS in Australia, visit our webpage ALOIS Australia

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EEO Statement ALOIS Australia is committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all qualified applicants and do not discriminate on the basis of race, colour, religion, sex, age, national origin, disability, or any other characteristic protected under applicable laws. We value diversity and believe it strengthens our people, our culture, and the outcomes we deliver.

📌 DATA ENGINEERING LEAD (Brisbane)
🏢 ALOIS UK
📍 Brisbane