Join one of Australia’s leading national retailers as an AI/ML Platform Engineering Manager, where you will play a pivotal role in shaping and scaling the organisation’s next-generation machine learning capabilities. This is a permanent leadership opportunity overseeing a high-performing team of six engineers and driving end-to-end ownership of the AI/ML platform.

About the Role

In this role, you will lead the design, development, and delivery of critical AI/ML platform components supporting enterprise-wide machine learning initiatives. You will partner closely with data scientists, ML engineers, software developers, and platform teams to translate business needs into scalable and secure platform capabilities.

Key Responsibilities

• Lead the architecture and development of AI/ML platform components including model training environments, feature stores, model registries, deployment pipelines, and monitoring frameworks.
• Manage end-to-end delivery of platform enhancements, ensuring scalability, reliability, and high performance across all ML workloads.
• Collaborate cross-functionally with technical and non-technical stakeholders to gather requirements and enable seamless delivery of AI/ML solutions.
• Implement and champion best practices in MLOps, including model versioning, lifecycle management, CI/CD, observability, and platform security.
• Drive continuous improvement by integrating new tools, frameworks, and automation to streamline and accelerate ML workflows.
• Oversee platform reliability, incident response, operational support, and capacity planning to maintain enterprise-grade availability.
• Ensure all platform capabilities adhere to organisational data governance, security standards, and relevant regulatory requirements.
• Provide regular reporting, insights, and strategic recommendations to senior leadership on platform performance, risks, and future opportunities.

About You

You are a technical leader with a passion for building robust, scalable AI/ML platforms and empowering teams to deliver impactful machine learning outcomes. You thrive in a fast-paced, collaborative environment and bring deep experience in MLOps, automation, and cloud-native engineering.

What’s on Offer

• Permanent leadership role in a high-growth AI/ML environment
• Opportunity to shape a major retailer’s enterprise ML ecosystem
• Lead and develop a team of six talented engineers
• Competitive salary, benefits, and long-term career pathways

For more information contact Melissa Haddad at melissa.haddad@talentinternational.com

Salesforce Data Migration Designer

Contract & Location:

• 6-month initial contract (possible extension)

• Hybrid role, Sydney-based (2 days on-site)

• Australian citizens eligible for Baseline clearance only

Role Summary:
Responsible for planning, designing, and delivering Salesforce data migration strategies, ensuring data integrity, accuracy, and a seamless transition from legacy systems. Collaborate with business and technical teams to achieve project objectives.

Key Responsibilities:

• Plan and execute Salesforce data migrations using ETL processes.

• Lead data mapping workshops and create clear SQL/SOQL mapping documentation.

• Analyse data, resolve anomalies, and ensure data quality and readiness for cutover.

• Work closely with Salesforce developers, testers, and business analysts throughout testing and migration phases.

Requirements & Skills:

• Strong SQL or query language skills

• Experience with Salesforce (SOQL, data architecture, objects)

• Understanding of ETL/migration processes and data models

• Ability to produce clear mapping documentation

• Experience in large-scale migrations, Apex, Lightning, or AWS Athena is a plus

• Strong collaboration and communication skills

If you’re an Australian citizen eligible for Baseline clearance and ready to take on this hybrid Sydney-based role, apply now!

Are you passionate about turning data into business-shaping impact? Do you thrive at the intersection of advanced analytics, cross-market execution, and stakeholder influence? If you’re excited by driving digital transformation at scale, this is your opportunity to lead high-impact Data & Analytics initiatives across the APAC region for one of the world’s most loved brands.

As the Data & Analytics Lead you will leading the full lifecycle of regional D&A projects and ensure that actionable insights, AI/ML models, and data-driven solutions land seamlessly into business workflows. You will play a pivotal role in shaping how APAC teams make decisions, realise value, and adopt digital tools.

Key activities

• Lead diverse analytics projects from concept to production across multiple APAC markets.
• Define scope, timelines, resources, and deliverables, ensuring strong alignment with regional priorities and global standards.
• Oversee quality practices to guarantee timely, reliable, and actionable outputs, reports, dashboards, data products, and predictive models.
• Act as the primary interface linking D&A, project management, and business stakeholders to drive adoption and unlock measurable value.
• Communicate progress, risks, and business impact clearly and confidently across the organisation.
• Collaborate with Global D&A and Product teams to represent APAC needs, ensure metric consistency, and champion D&A tech stack (Azure-based).
• Provide hands-on technical guidance in AI/ML, validating models and elevating best practices across the regional delivery teams.
• Ensure that delivered solutions embed into business workflows, transforming behaviour and sustaining long-term value.

Skills and experience

• Minimum 5+ years in Data & Analytics, including 2+ years of hands-on Data Science or Machine Learning experience.
• Proven experience managing and delivering cross-functional D&A projects, APAC experience is highly valued.
• Strong ability to translate technical analytics into clear business workflows.
• Exceptional communication, problem-solving, project management, and stakeholder-influencing skills.
• Experience with cloud platforms (MS Azure, Databricks) highly regarded

Apply now to secure an interview or contact Alistair Barr on 0480 804 583 for a confidential discussion.

Graduate Data Roles:
Location: Sydney

About Outback Talent
Outback Talent is a leading national Indigenous business specialising in IT and digital transformation. We are driven by a commitment to ensuring Aboriginal and Torres Strait Islander peoples have meaningful pathways into business, technology, and the jobs of the future.
Through our innovative programs, resources, and hands-on support, we work with individuals at all stages of their journey-helping them explore opportunities, grow their capability, and build thriving careers in the digital sector. Partnering with major organisations, we provide wrap-around support to guide you along your career pathway and set you up for long-term success.

About the Opportunity
Our client is seeking passionate and motivated Graduate or Entry-Level Data professionals of Aboriginal or Torres Strait Islander descent to join their growing Data Practice. This is an excellent opportunity to work within a leading organisation on a major financial transformation project-ideal for those looking to kick-start a rewarding career in data and analytics.
You will gain exposure to industry-leading tools, real-world datasets, and experienced mentors who will support you as you develop foundational skills in areas such as:

• Data analysis and reporting
• Data modelling and visualisation
• Data governance and quality support
• Cloud data platforms and modern analytics tools

Who We’re Looking For
You don’t need years of experience-just curiosity, motivation, and a strong desire to learn. This role is perfect for:

• Recent graduates in IT, Data, Business, or related fields
• Early-career professionals looking to move into data
• Tech-curious individuals seeking their first break in the industry

If you are enthusiastic, committed, and excited to contribute to major digital transformation work, we want to hear from you.

Why This Role?
✔ Work on a high-impact financial project
✔ Join a supportive team invested in your growth
✔ Access training, mentoring, and career development
✔ Start building a long-term career in the data and analytics space

Eligibility
This is an Identified Position, open to candidates of Aboriginal or Torres Strait Islander descent.

Please send your through your application to luther.borgas@outbacktalent.com with a write up as to why you are a good fit or apply now!

• Permanent (On-Going) Position | Data insights (eCommerce, FMCG & Inventory)
• West Footscray Location | Hybrid Working Arrangements
• $110,000 Excl. Superannuation | Salary Sacrificing Options

The Role: The Data Analyst will play a key role in supporting the eCommerce and digital marketing strategy by analysing inventory data and providing insights into FMCG and product-related trends, helping drive best-practice, data-driven decision-making.

The Responsibilities:

• Autonomously collect, analyse, and interpret marketing and eCommerce performance data.
• Independently identify and highlight anomalies, opportunities, and risks in marketing or customer data.
• Recommend adjustments to marketing strategies or tactics based on data-driven insights, subject to sign-off by the Head of eCommerce or Digital Marketing Manager.
• Maintain and update dashboards, performance reports, and analytics tools with current and accurate data.
• Manage access and configuration for data sources (e.g. GA4, Power BI, Magento reports), ensuring alignment with data governance practices.
• Provide guidance to marketing, eCommerce, and creative teams based on data insights, influencing channel strategies and digital experience enhancements.

Skills & Experience Required:

• Minimum 3 years of experience as a Data Analyst delivering data insights and analytics within FMCG, product and inventory improving business based decision making.
• Solid understanding of digital marketing and eCommerce metrics and levers.
• Proficiency with analytics tools such as Google Analytics (GA4), Power BI, SQL, and Excel.
• Understanding of customer segmentation, attribution modelling, and campaign tracking.
• Experience with data visualisation tools and dashboard creation.
• Experience with Magento, DotDigital, or tag management tools (e.g. GTM) (Desirable).

What’s in it for you:

• Permanent (On-Going) Position | Career Growth Opportunities
• West Footscray Location | Hybrid Working Arrangements
• $110,000 Excl. Superannuation | Salary Sacrificing Options

Apply today and Jimmy Nguyen will reach out to disclose further information

• Initial 9 Month Contract | Potential For Extensions
• Clayton Location | 3 Days On-Site & 2 Days WFH
• Data Transformation Program | Databricks. Lakehouse (Delta Lake/Spark)

The Role: The Senior Data Analyst is responsible for safeguarding the system-agnostic business information models by modelling and stitching data within the existing enterprise data ecosystem, ensuring consistency and continuity.

The Responsibilities:

• Develop and maintain advanced data transformations and analytical workflows using SQL, Python, and Databricks, operating on large-scale datasets within a Lakehouse (Delta Lake / Spark) architecture
• Design and document business-aligned data models using best practice modelling principles.
• Contribute to the definition and implementation of internal data modelling standards across the team.
• Design and build well-structured, efficient reports and dashboards in Power BI that are tailored to business needs and based on trusted, modelled datasets.
• Investigate complex data problems and independently prototype and implement analytical solutions within Databricks
• Conduct data profiling, validation, and quality remediation to ensure accuracy, completeness, and consistency

Skills & Experience Required:

• Minimum 7 years of experience as a Data Analyst delivering high-quality analytics using SQL and Python within Databricks.
• Strong understanding of Lakehouse architecture, particularly working with large-scale structured datasets.
• Demonstrated ability to build and maintain robust data models and curated datasets to support reporting and analysis.
• Experience working with semantic modelling tools (e.g. Lucidchart or equivalent) to visualise data models.
• Extensive hands-on experience designing, building, and maintaining Power BI dashboards aligned with best practices.

What’s in it for you:

• Initial 9 Month Contract | Potential For Extensions
• Clayton Location | 3 Days On-Site & 2 Days WFH
• Data Transformation Program | Databricks. Lakehouse (Delta Lake/Spark)

Apply today and Jimmy Nguyen will reach out to disclose further information.

EL1 Data Engineer

Contract Duration: 12 Months
Location: NSW (Hybrid)
Hours: 37.5 per week
Clearance: Must be able to obtain Baseline
Citizenship: Australian citizens only

Role Overview

The EL1 Data Engineer is a senior member of the data warehouse project team, responsible for end-to-end delivery of new data pipelines, reviewing and approving data models, providing technical guidance to developers, and maintaining high-quality documentation. The role requires hands-on technical delivery, leadership, and knowledge transfer to support the project stream and broader data platform.

Key Responsibilities

• Provide technical leadership through design reviews, best-practice guidance, and technical workshops.

• Refine and enhance the data delivery framework, improving integration of new data sources, performance, and efficiency.

• Lead the end-to-end technical implementation of new data, including:

  • Data analysis and dictionary creation

  • Release step definition

  • Best-practice data modelling

  • Review and approval of data designs

• Facilitate continuous improvement in coding standards, documentation, development processes, and team capability.

• Conduct training and knowledge transfer sessions for developers and team members.

• Prioritise and manage development work items.

• Analyse, understand, and size user requirements.

• Develop and maintain SQL analytical and ETL code.

• Maintain system and technical documentation.

• Collaborate with data consumers, database developers, testers, and IT support teams.

Essential Criteria (must be addressed in 1-page pitch, 5000 characters)

1. Competency in at least two of the following data warehouses: MS SQL, Teradata, Snowflake, Redshift, Databricks.

2. High-level programming skills in languages such as Python, SAS, R, or Java.

3. Strong SQL expertise, including reverse-engineering end-user SQL code.

4. Ability to read and interpret data models and technical specifications.

5. Understanding of DevOps processes and ability to use DevOps tools in line with procedures.

6. Knowledge of version control principles and their appropriate use.

Desirable Criteria

1. Minimum 4 years in a similar data engineering role.

2. Exposure to AWS Cloud (S3, Glue) or equivalent cloud tools; competency with SAS and Excel.

3. Tertiary qualifications in mathematics, statistics, computer science, or 3+ years relevant experience.

4. Experience with data modelling using metadata-driven or model-driven frameworks.

Eligibility Requirements

• Australian citizenship is mandatory.

• Must be able to obtain Baseline security clearance.

How to Apply

Along with your resume, please provide a one-page pitch addressing all essential criteria specified. The pitch should clearly demonstrate your relevant experience, skills, and outcomes aligned to the EL1 Data Engineer role. Maximum 5000 characters.

📩 Send both resume and one-page pitch to priya.gabriel@talentinternational.com

Note: Australian citizenship and Baseline eligibility are mandatory.