• Initial 12 Month Contract | Potential For Extensions
• Clayton Location | 3 Days On-Site & 2 Days WFH
• Data Transformation Program | Data Privacy Laws | Data Loss Prevention

The Role: The Senior PII Analyst t is responsible for conducting detailed data discovery and mapping exercises to identify, classify, and document Personally Identifiable Information (PII) across the digital landscape.

The Responsibilities:

• Contribute to strategic planning and implementation of PII analysis activities for programs supporting the achievement of data security goals including leading the identification and cataloguing of PII assets across core systems.
• Provide a range of analysis services, including: working with stakeholders to identify vulnerabilities that could lead to data breaches or non-compliance; align practices with regulations like GDPR, CCPA, HIPAA, or other data protection laws; and prepare reports for audits and regulatory reviews.
• Undertake risk assessment to locate and classify data that qualifies as PII including mapping the flow of sensitive data between systems to identify unauthorised replication, “shadow” spreadsheets, and integration risks and reviewing data collection points (web forms, manual uploads, applications) to identify where unneeded PII is entering the environment.
• Implement Data Protection Measures by recommending encryption, masking, or anonymization techniques and work with IT and security teams to enforce access controls.
• Collaborate with business owners to document the specific business justification for retaining sensitive fields, challenging “just-in-case” collection practices while building partnerships and networks within the team and other relevant business units.

Skills & Experience Required:

• Minimum 7 years of experience as a Senior PII Analyst delivering business analysis, governance and compliance and its application to the IT infrastructure and service improvements to meet business goals
• Strong knowledge of data privacy laws and frameworks with familiarity of data discovery tools and data loss prevention (DLP) solutions.
• Demonstrated experience in business analysis, governance and compliance and its application to the IT infrastructure and service improvements to meet business goals.
• Highly-developed planning and organisational skills, with experience establishing priorities, implementing improvements and meeting deadlines.
• High level ability to analyse, isolate and interpret business needs and develop and document appropriate functional specifications and solutions.

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 | Data Privacy Laws | Data Loss Prevention

Apply today and Peter Li 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 Peter Li will reach out to disclose further information.

Overview:

Join a leading financial services organization as a Data Engineer.

Based in Auckland this forward-thinking company is on a mission to redefine excellence in through innovative technology and exceptional service.

In this pivotal role, you will design, build, and operate reliable data ingestion and transformation pipelines in Azure Databricks, playing a crucial role in delivering actionable insights and high-priority business metrics. If you’re passionate about data quality and operational resilience, and ready to contribute to their Data and AI strategy, we want to hear from you!

Required Skills:

• Proven experience with Azure Databricks, Spark, Python, and SQL.
• Strong understanding of medallion architecture and practical ELT patterns.
• Familiarity with data quality monitoring and the lifecycle of Databricks SQL alerts.
• Ability to collaborate effectively with cross-functional teams and external vendors to resolve data-related issues.
• Excellent documentation skills for pipelines, runbooks, and change records.

Nice to Have Skills:

• Experience with Power BI for data visualization and reporting.
• Background in agile project methodologies.
• Knowledge of data governance and compliance best practices.
• A proactive mindset in managing risks and escalating issues as necessary.

Preferred Education and Experience:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
• A minimum of 3 years of professional experience in data engineering or a related discipline.

If you are ready to embrace the challenge of transforming data into high-quality insights for clients and stakeholders, apply with an updated CV.

** Please note that applications will not be actioned until the new year, have a safe and happy holiday. **

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