323 Data Team jobs in Knox City Centre

Come and join a thriving company and become part of a diverse global collective of free-thinkers, entrepreneurs and industry experts who are all driven to use technology to reimagine what’s possible. Capgemini. Get the future you want.

For more about why Capgemini

Let’s talk about the roles and responsibilities

As a Data Analyst within OCV(One Customer View), you will be responsible for collecting, cleaning, analyzing, and visualizing data to uncover insights that inform business decisions. You'll collaborate with cross-functional teams, providing analytical support and enabling smarter, faster decisions across the organization.

Key Responsibilities

• Data Collection & Cleaning: Gather data from multiple sources (internal databases, external data sources, APIs, etc.) and ensure it is clean, accurate, and complete for analysis.
• Data Analysis & Reporting: Analyze large datasets to identify trends, patterns, and insights. Create detailed reports, dashboards, and presentations to communicate findings to stakeholders.
• Business Insights: Provide actionable recommendations based on data analysis to support business goals and improve operational efficiencies.
• Data Modeling & Visualization: Develop and maintain data models, dashboards, and interactive visualizations using tools such as Excel, Tableau, Power BI, or other BI platforms.
• SQL & Database Management: Write and optimize complex SQL queries to extract and manipulate data from relational databases (e.g., Teradata, SQL Server, Oracle).
• Collaboration : Work closely with business units, engineers, and other teams to understand requirements and provide relevant insights.
• KPI Tracking: Monitor key performance indicators (KPIs) and business metrics to track progress toward organizational goals.
• Data Integrity & Quality: Ensure data accuracy and consistency across various systems. Troubleshoot data quality issues as they arise.
• Ad-hoc Analysis: Perform ad-hoc analysis as requested by leadership or business units to support ongoing initiatives.

Required Skills & Qualifications:

• 3+ years of experience in data analysis, reporting, or a similar role.
• Proficiency in SQL and experience working with large relational databases (Teradata, SQL Server, Oracle).
• Strong analytical and problem-solving skills with attention to detail.
• Experience with Power BI , Tableau , or other data visualization tools.
• Knowledge of Excel and data modeling techniques.
• Excellent communication skills – ability to explain complex data insights to non-technical stakeholders.
• Ability to multitask and work in a fast-paced, collaborative environment.

About Capgemini

At Capgemini, we are more than just a business, we are a diverse global collective of strategic and technological experts who are passionate about finding ways technology can help our clients, our people and our communities get the future they want.
Our people are the key to making this vision a reality, which is why we have been recognised by the Australian Workplace Equality Index as LGTBQ+ ‘Employer of the Year’ and ‘Inclusion of Trans and Gender Diverse Employees’ for the past two years. We believe in creating a safe, flexible, and inclusive culture where everyone can bring their authentic selves to work, contributing to our inclusive culture and truly belong, and our staff-led community groups are a testament to this commitment. We are committed to being active allies for everyone.
We believe by combining the power of the latest technology with our human energy, we can drive sustainable thinking into our operations and the work we do with clients. Its why we are committing to being carbon neutral for our own operations no later than 2025 and across our supply chain by 2030 and committed to becoming a net zero business by 2040.
Empower yourself with the knowledge and skills you need to succeed with our access to premier learning platforms, sought-after certifications and boundless development opportunities. You’ll be encouraged to gain at least 40 hours of training each year.

For over 50 years our values and ethics have been at heart of our identity. From our approach to ethics to the way we interact with one another, honesty, boldness, trust, freedom, team spirit, modesty, and fun guide and inspire all we do and have led to us being recognised as one of the World’s Most Ethical Companies by the Ethisphere Institute 12 years in a row.

Our Commitment to Diversity & Inclusion
Don’t meet every single requirement for this role? Studies have shown women and people from diverse minority backgrounds are less likely to apply to jobs unless they meet every single requirement. At Capgemini, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly, we encourage you to apply and tell us what you can bring to the role.
We understand for some people, a standard hiring processes can come with challenges. If you are living with a disability, are gender diverse or neurodivergent and we can provide support with access requirements or by making an adjustment to our hiring process, please contact us at

Information Security and Compliance

Capgemini Australia has developed and manages, process orientated Management Systems compliant to the requirements of ISO9001, ISO27001 and ISO14001. We are committed to delivering secure solutions and services through state-of-the-art processes and continual improvement frameworks in line with industry best practices as well as contractual, statutory, and regulatory requirements.

Our client is a federal government organisation with offices throughout Australia. Due to growth, they are seeking several EL1 Senior Data Analysts to join their team in their Richmond or Geelong office.

• 12-month initial contract plus 12-month extension, excellent rates negotiable
• Richmond or Geelong location, hybrid with 3 days per week onsite minimum
• Federal government role – Australian citizenship required
• Candidates with Security Clearance preferred
  
  

The EL1 Data Analyst will exercise a considerable degree of independence to engage in very complex problem solving and issues management within the risk functions. The position will exercise sound decision-making and judgement to produce high level policy advice and operational support.

The position is required to assume responsibility to undertake detailed or sensitive projects that may include performing varied activities involving many different and unrelated processes or methods that may impact on the strategic or operational outcomes that support the clients objectives.

Key Duties And Responsibilities

• Undertaking day-to-day analytical work and project management on a range of tasks including regular and one-off analyses and ad hoc requests.
• Maintaining knowledge in understanding business areas with regard to business context, goals and key performance indicators.
• Contributing to the development of reporting, assisting in the establishment of quality assurance and governance processes around all branch reporting.
• Analysing data, interpreting trends, utilising problem solving, and connecting analysis and insights to address problems and questions.
• Collaborating with key staff within the branch and across the Agency to ensure consistent use of data and reporting, and internal and external messaging.
• Presenting the outcomes of work undertaken and tailoring to context across various forums.
• Mentoring and development of a small group of less experienced team members.
  
  

To apply for this opportunity, you will need the Selection Criteria below:

Essential Criteria

• High level data analytics skills – posses strong data analytics skills, in particular SQL (ideally SAS EG/SAS Viya), with a good knowledge of data visualisation and statistical analysis techniques.
• Problem-Solving: Identifying and solving complex data-related problems
• Critical Thinking: Analysing data objectively and making informed decisions
• Effective Communication: Ability to clearly communicate complex data insights to both technical and non-technical audiences.
• Collaboration: Working effectively with cross-functional teams.
  
  

Desirable criteria

• Knowledge of programming languages like Python and R
• Experience in fraud analytics
• Strong understanding of statistical techniques and machine learning
  
  

Apply

Submit your resume or contact Shelley at or call on 0418 572 482 for further information. Shortlisted will be contacted and applicants will be required to address and complete the above Selection Criteria (provide a one page pitch to address all criteria specified, this is equal to 5000 characters) and a clear national police and federal background checks.

About The Role

Reporting to the Data Engineer Leader, the Senior Data Engineer will work closely with the Data Product team to support, design, build and deploy data solutions to enable effective and efficient value realisation from EnergyAustralia’s data. As a senior member of the Data Engineering team this role is to assist in leading discipline this role, with a core focus of data ingestion and integration work, primarily in the AWS analytics ecosystem. Additional responsibilities include:

• Leverage the function’s patterns for appropriate ETL/data import and interfacing mechanisms such as consumption layer databases, APIs and caches
• Support and development of the data products and platform
• Support the formulation of data solution designs and architecture, and then leveraging these for support of the data platform and products, and delivery of new products. There will be some out-of-hours work required to support business-critical data products.
• Review business requirements, create data mappings between systems, data profiling, query design, data flow design
• Leverage DevSecOps principles utilising CI/CD workflows for accelerated development of infrastructure components and data ingestion pipelines
  
  

Be Impactful when you are applying…

You will have strong Engineering experience & exposure to Agile or DevOps delivery environments in both general and technology-specific applications. Also, you will have some of the following competencies;

• Tertiary Qualification in computer science, information technology, business systems or other relevant tertiary qualification or equivalent significant practical experience.
• Extensive experience in building Data Engineering pipeline as well as exposure to Cloud Data Platforms
• Expert level hands-on experience (and relevant certifications) in AWS cloud data environments including tools such as S3, EMR/EC2, Lambda, Redshift.
• Proven experience in data modelling using tools such as DBT, AWS Glue, or similar ETL frameworks
• Expert level implementation experience on streaming technologies e.g. Kafka/Kinesis and Spark streaming with Python or Scala.
• Extensive design and build experience with Apache Airflow or similar orchestration services on cloud
• Expert big data and query language skills such as SQL, Java, Python, R, PySpark
• Experience establishing, curating and maintaining Logical and Physical data models
• Extensive stakeholder management and communication skills.
  
  

How To Apply

If you’re ready to ‘light the way’ towards your next career move, click the 'Apply’ button to submit a confidential application. For any questions, please reach out to Jock Clydesdale, Talent Acquisition Partner @

Why Us

At EnergyAustralia, we are committed to providing an inclusive culture so our employees can bring their whole selves to work and have a sense of belonging. As an employee you can enjoy such benefits as:

• Annual Performance Bonus
• Discounts on Gas & Electricity for employees
• Energise Program - flexible working that is team centric enabling all individuals to agree and succeed together
• Excellent company culture, down-to-earth and friendly organisation - be authentic, bring your whole self to work!
• State-of-the-art Melbourne office, stunning views only 3-4 minute walk from Southern Cross station
• Inhouse Café and Onsite Tech Bar
  
  

We’re committed to providing an inclusive culture so our employees can bring their whole selves to work and have a sense of belonging. From our PRISM network that creates a positive culture for LGBTQ+ employees to our Reconciliation Action Plan that has commitments to strengthen relationships with Aboriginal and Torres Strait Islander people and organisations, it’s a workplace where everyone’s welcome.

Our client is a federal government organisation with offices throughout Australia. Due to growth, they are seeking several EL1 Senior Data Analysts to join their team in their Richmond or Geelong office.

• 12-month initial contract plus 12-month extension, excellent rates negotiable
• Richmond or Geelong location, hybrid with 3 days per week onsite minimum
• Federal government role – Australian citizenship required
• Candidates with Security Clearance preferred
  
  

The EL1 Data Analyst will exercise a considerable degree of independence to engage in very complex problem solving and issues management within the risk functions. The position will exercise sound decision-making and judgement to produce high level policy advice and operational support.

The position is required to assume responsibility to undertake detailed or sensitive projects that may include performing varied activities involving many different and unrelated processes or methods that may impact on the strategic or operational outcomes that support the clients objectives.

Key Duties And Responsibilities

• Undertaking day-to-day analytical work and project management on a range of tasks including regular and one-off analyses and ad hoc requests.
• Maintaining knowledge in understanding business areas with regard to business context, goals and key performance indicators.
• Contributing to the development of reporting, assisting in the establishment of quality assurance and governance processes around all branch reporting.
• Analysing data, interpreting trends, utilising problem solving, and connecting analysis and insights to address problems and questions.
• Collaborating with key staff within the branch and across the Agency to ensure consistent use of data and reporting, and internal and external messaging.
• Presenting the outcomes of work undertaken and tailoring to context across various forums.
• Mentoring and development of a small group of less experienced team members.
  
  

To apply for this opportunity, you will need the Selection Criteria below:

Essential Criteria

• High level data analytics skills – posses strong data analytics skills, in particular SQL (ideally SAS EG/SAS Viya), with a good knowledge of data visualisation and statistical analysis techniques.
• Problem-Solving: Identifying and solving complex data-related problems
• Critical Thinking: Analysing data objectively and making informed decisions
• Effective Communication: Ability to clearly communicate complex data insights to both technical and non-technical audiences.
• Collaboration: Working effectively with cross-functional teams.
  
  

Desirable criteria

• Knowledge of programming languages like Python and R
• Experience in fraud analytics
• Strong understanding of statistical techniques and machine learning
  
  

Apply

Submit your resume or contact Shelley at or call on 0418 572 482 for further information. Shortlisted will be contacted and applicants will be required to address and complete the above Selection Criteria (provide a one page pitch to address all criteria specified, this is equal to 5000 characters) and a clear national police and federal background checks.

Meet: Rakuten Rewards

Founded: 1999

Headcount: 4,000 globally & 20 locally

Location / Work Style: Cremorne, Hybrid

Product: e-Commerce Cash-Back Solutions

Tech stack: SageMaker, OpenAI API, Python, Snowflake, Tableau, AWS, GCP

The Story

A global technology company, founded in 1997 as an online marketplace, parent company Rakuten is an industry giant that has expanded offerings to include e-commerce, fin-tech, digital content and communications to 1.9 billion members globally and with presence in over 30 countries!

Then there’s their Rakuten’s Rewards’ cash-back product.

To date, their 17 million members in the U.S. alone have earned over $3.7 billion in cash-back at their favorite stores. How cool is that? It’s a fascinatingly complex system, with millions of users - and that is at the very heart of their business. Rakuten Rewards directly puts money back into the pockets of users, which is pretty damn cool to think about.

A product like this is all about driving greater accuracy within the product pipeline, ensuring users receive the rewards they deserve. And this is where you come in….

The Role

This is very much a business & strategy focussed role through the use of AI, engineering, analytics and insights.

As Senior Data Solutions Engineer, you’ll form part of the Transparency group and be instrumental in ensuring real-time visibility of cashback tracking and attribution for millions of transactions. A high impact role that will directly impact Rakuten Rewards members' experience by making sure they receive their rewards seamlessly and transparently.

You’ll build real-time models that process disparate events throughout the customer journey to deliver instant cashback to consumers, and work on cutting-edge challenges in fraud technology, payment analytics, operational analytics, and performance optimisation.

As part of this you will analyse large-scale transaction data to identify tracking gaps, design experiments to test hypotheses, and develop strategies to enhance real-time tracking capabilities. Your insights will drive improvements in Rakuten Rewards’ attribution models and optimise the overall member experience.

What you Bring to the Role

We're looking for someone with a blend of technical expertise and business acumen that can bridge the gap between complex AI solutions and real-world business impact. And you’ll have a track record of building and deploying AI/ML solutions that deliver tangible value.

Some of the things we are looking for:

• Exceptional and eloquent communication skills with the ability to explain complex technical concepts to both technical and business audiences, including C-level executives.
• Hands-on experience with ML and AI implementation – building, integrating, and deploying solutions that provide tangible business value.
• Experience applying AI solutions to business problems, including recent exposure to LLMs and generative AI.
• A track record of successfully deploying low-latency inference pipelines in production environments.
• Strong foundation in SQL, Python, and machine learning techniques and tools such as TensorFlow, PyTorch, scikit-learn.
• Familiarity with broader MLOps/DevOps practices for continuous model updates and system monitoring.

What’s in it For You

Hybrid, with a mix of remote & 3 days a week in person collaboration at their Cremorne based office. Expect regular team lunches and outings, and lots of cake (yum)!

️ Families (and life) come first. Flexible working is at the very heart of their ways of working, and you’ll find folks who work a variety of ways (part time, flex start & finish times + more) that suit their unique needs.

About the Department

The department provides a wide range of learning and development support and services.

The department provides policy leadership, plans for the future of education in Victoria and leads key cross-sector collaboration. The department plays an important system steward role by providing support, guidance, oversight and assurance across early childhood and school education systems, as well as directly providing school education and 50 new early learning centres.

About the Victorian School Building Authority

The Victorian School Building Authority (VSBA) is part of the Department of Education. Established in 2016, it oversees Victoria's largest school building program since the state introduced free public education in the 1870s.

The VSBA upgrades and expands existing schools and plans, designs and builds new schools to meet enrolment demand. We also support schools to maintain their buildings and grounds by offering expert advice and coordinating maintenance programs and grants.

With Victoria recently introducing two years of funded kindergarten, the VSBA is also working with the early childhood sector on a massive kindergarten construction program.

About the Division

The Corporate Division provides corporate support to all VSBA teams and fulfills an important assurance and oversight role. They guide VSBA to achieve strategic objectives and ensure decision-making is transparent and accountable.

The division also coordinates communication and consultation with local communities about their school building projects. They develop graphic design and video content, manage our social media channels, lead organisational customer service reform, distribute our e-newsletters and organise ministerial and other events for our projects. The Division also leads the organisational customer service reform and uplift program.

About the Role

This is a Fixed Term Role till 30/06/2027.

Reporting to the Data Insight Team Leader in Business Systems, the Senior Data Advisor - Business Analyst leads the provision of comprehensive support for data utilisation and reporting products. As a dedicated team member, the Senior Data Advisor provides support by identifying and addressing evolving data and evidence. Senior Data advisor advocates for evidence-based outcomes and needs to drive effectiveness and strategic decision-making.

This role collaborates closely with the various stakeholders to gather and analyse various reporting needs by identifying the data required. Key responsibilities include independent analysis, business understanding, and strong communication skills.

Specifically, the role involves:

• Acting as main contact for understanding and gathering all reporting needs from various stakeholders.
• Following up with the stakeholders on their reporting queries and the priorities by collaborating and sharing information effectively
• Providing the stakeholders with the report development updates on a regular basis.
• Providing support and assistance to Data Insight team on the report requirements and any clarifications during the reporting implementations.
• Understanding of various VSBA systems such as Oracle Primavera Cloud, Oracle Aconex, Oracle ERP, AIMS (IBM Maximo) etc and the related business processes.
• Contributing to the process improvements by developing the data dictionaries for Data Insight team, including updating, maintaining the knowledge base documents and fosters innovation in others.
• Develop fit for purpose reporting, dashboards and visualisations ((Power BI, SSRS) to support and enable data driven decision making across VSBA
• Analyse data using standard tools (e.g. SQL server, Access, Excel, SSRS, Power BI, Oracle and Visual Studio)
• Monitors client and stakeholder satisfaction closely.
• Accommodates and works well with the different working styles of others, including shows consideration, concern, and respect for other feelings and ideas.
• Conduct End to End testing and troubleshooting through the design and development of QA documentation like Test Cases and Test scenarios from business and functional requirements
• Implements specific changes in work methods to enhance outcomes, quality, and timeliness of service.
• Takes prompt responsibility for resolving any issues with the stakeholders without becoming defensive.
• Fulfilling other duties as assigned.

All VSBA staff have a shared responsibility to meet the same service standards outlined in the VSBA Customer Service Charter. Our goal is to make every interaction with the VSBA a positive one for our customers, colleagues and key partners regardless of our individual role or team.

Attributes

The ideal candidate will possess:

• A strong background in stakeholder management, including the ability to effectively engage, influence, and communicate with both internal and external stakeholders to understand and meet their needs.
• Proven expertise in reporting requirements gathering, ensuring the accurate collection and documentation of business needs to inform data solutions and reporting frameworks.
• Proficiency in documentation practices, including creating clear, concise technical and functional documentation for both business and technical teams.
• Experience in testing processes, ensuring data integrity and accuracy in reports, dashboards, and other BI solutions by conducting thorough testing and validation.
• A solid understanding of data dictionaries and how to maintain and update them to ensure consistency and standardisation of data across systems.
• Strong skills in dashboard reporting, utilising BI tools to create insightful, visually appealing, and actionable reports for decision-makers.
• Competence in data analysis and management practices, ensuring data is effectively analysed, interpreted, and managed to support business objectives and operational efficiency.
• Excellent communication skills, both verbal and written, with the ability to translate complex data insights into clear, actionable information for non-technical stakeholders.

Desirable Qualifications and Experience

• Highly preferred: experience working as a Business Analyst with strong Business Intelligence knowledge, particularly in data modelling platforms within large organisations, preferably in a government department.
• Experience in analysing data using standard tools (SQL Server, Oracle, SSIS, SSRS, Power BI, Data Warehouse Cubes, MS Access and MS Excel)
• Experience and comfort level in working with various levels of stakeholders
• Adequate knowledge of the requirements gathering and documenting complex business processes across the organisation.
• Contemporary knowledge of information management technologies and their application within a business context
• Experience in analysing non- technical business requirements and interpret business needs into technical requirements.
• Experience in quality assurance and unit testing.
• Experience with Oracle platforms such as Oracle ERP, Oracle Aconex, Oracle Primavera Cloud, and IBM Maximo is highly desirable.

Further Information

For more details regarding this position please see attached position description for the capabilities to address in application.

The department values diversity and inclusion in all forms - gender, religion, ethnicity, LGBTIQ+, disability and neurodiversity. Aboriginal and Torres Strait Islander candidates are strongly encouraged to apply. For more information about our work, working for the Department, diversity and inclusion, and our employment conditions visit the Department website and our Diversity and Inclusion page

Applicants requiring adjustments can contact the nominated contact person.

Information about the Department of Education's operations and employment conditions can be located at

For further information pertaining to the role, please contact Reshmy Suvarna Prabha - Manager - Business Systems email

Preferred applicants may be required to complete a police check and may be subject to other pre-employment checks. Information provided to the Department of Education will be treated in the strictest confidence.

Please let us know via phone or email if you require any adjustments to ensure your full participation in the recruitment process or if you need the ad or any attachments in an accessible format (e.g large print) due to any viewing difficulties or other accessibility requirements.

Applications close 11:59pm on Sunday 27 th April, 2025.

Come and join a thriving company and become part of a diverse global collective of free-thinkers, entrepreneurs and industry experts who are all driven to use technology to reimagine what’s possible. Capgemini. Get the future you want.

For more about why Capgemini

Let’s talk about the roles and responsibilities

As a Data Analyst within OCV(One Customer View), you will be responsible for collecting, cleaning, analyzing, and visualizing data to uncover insights that inform business decisions. You'll collaborate with cross-functional teams, providing analytical support and enabling smarter, faster decisions across the organization.

Key Responsibilities

• Data Collection & Cleaning: Gather data from multiple sources (internal databases, external data sources, APIs, etc.) and ensure it is clean, accurate, and complete for analysis.
• Data Analysis & Reporting: Analyze large datasets to identify trends, patterns, and insights. Create detailed reports, dashboards, and presentations to communicate findings to stakeholders.
• Business Insights: Provide actionable recommendations based on data analysis to support business goals and improve operational efficiencies.
• Data Modeling & Visualization: Develop and maintain data models, dashboards, and interactive visualizations using tools such as Excel, Tableau, Power BI, or other BI platforms.
• SQL & Database Management: Write and optimize complex SQL queries to extract and manipulate data from relational databases (e.g., Teradata, SQL Server, Oracle).
• Collaboration : Work closely with business units, engineers, and other teams to understand requirements and provide relevant insights.
• KPI Tracking: Monitor key performance indicators (KPIs) and business metrics to track progress toward organizational goals.
• Data Integrity & Quality: Ensure data accuracy and consistency across various systems. Troubleshoot data quality issues as they arise.
• Ad-hoc Analysis: Perform ad-hoc analysis as requested by leadership or business units to support ongoing initiatives.

Required Skills & Qualifications:

• 3+ years of experience in data analysis, reporting, or a similar role.
• Proficiency in SQL and experience working with large relational databases (Teradata, SQL Server, Oracle).
• Strong analytical and problem-solving skills with attention to detail.
• Experience with Power BI , Tableau , or other data visualization tools.
• Knowledge of Excel and data modeling techniques.
• Excellent communication skills – ability to explain complex data insights to non-technical stakeholders.
• Ability to multitask and work in a fast-paced, collaborative environment.

About Capgemini

At Capgemini, we are more than just a business, we are a diverse global collective of strategic and technological experts who are passionate about finding ways technology can help our clients, our people and our communities get the future they want.
Our people are the key to making this vision a reality, which is why we have been recognised by the Australian Workplace Equality Index as LGTBQ+ ‘Employer of the Year’ and ‘Inclusion of Trans and Gender Diverse Employees’ for the past two years. We believe in creating a safe, flexible, and inclusive culture where everyone can bring their authentic selves to work, contributing to our inclusive culture and truly belong, and our staff-led community groups are a testament to this commitment. We are committed to being active allies for everyone.
We believe by combining the power of the latest technology with our human energy, we can drive sustainable thinking into our operations and the work we do with clients. Its why we are committing to being carbon neutral for our own operations no later than 2025 and across our supply chain by 2030 and committed to becoming a net zero business by 2040.
Empower yourself with the knowledge and skills you need to succeed with our access to premier learning platforms, sought-after certifications and boundless development opportunities. You’ll be encouraged to gain at least 40 hours of training each year.

For over 50 years our values and ethics have been at heart of our identity. From our approach to ethics to the way we interact with one another, honesty, boldness, trust, freedom, team spirit, modesty, and fun guide and inspire all we do and have led to us being recognised as one of the World’s Most Ethical Companies by the Ethisphere Institute 12 years in a row.

Our Commitment to Diversity & Inclusion
Don’t meet every single requirement for this role? Studies have shown women and people from diverse minority backgrounds are less likely to apply to jobs unless they meet every single requirement. At Capgemini, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly, we encourage you to apply and tell us what you can bring to the role.
We understand for some people, a standard hiring processes can come with challenges. If you are living with a disability, are gender diverse or neurodivergent and we can provide support with access requirements or by making an adjustment to our hiring process, please contact us at

Information Security and Compliance

Capgemini Australia has developed and manages, process orientated Management Systems compliant to the requirements of ISO9001, ISO27001 and ISO14001. We are committed to delivering secure solutions and services through state-of-the-art processes and continual improvement frameworks in line with industry best practices as well as contractual, statutory, and regulatory requirements.

At Cognizant, we're not just at the forefront of technological innovation - we're actively shaping the future of the digital landscape. As a rapidly expanding global leader in IT services, we're seeking top talent to join our exponentially growing Data & AI practice.
As the Google Cloud Platform Data Practice Lead within our APJ Technology Consulting Practice, you will be a pivotal strategic leader driving innovation and growth in our data and AI consulting practice. This is a leadership role that requires a visionary approach to technology consulting, with deep expertise in the Google Cloud ecosystem. You will be responsible for shaping our practices technical direction, building client relationships, and positioning our firm as a market leader in GCP-based data solutions.
This role offers unparalleled opportunities for career growth, as youll be at the forefront of technological advancements, contributing to solutions that have far-reaching impacts across industries.
**The Google Cloud Platform Data Practice Lead is responsible for:**
+ Provide overall strategic leadership for our GCP Data practice, defining technical vision and go-to-market strategies
+ Develop and execute a comprehensive practice growth strategy, focusing on emerging Google Cloud data technologies and industry trends
+ Lead presales efforts, crafting compelling technical solutions and narratives for complex enterprise data challenges
+ Design reference architectures and solution frameworks leveraging the Google Cloud Platform
+ Serve as the primary technical liaison with Google, developing strategic partnership opportunities and co-innovation initiatives
+ Build and nurture a high-performance team of data consultants, driving skill development and practice capabilities
+ Represent the practice at industry conferences, technical forums, and Google Cloud events as a thought leader
+ Mentor and coach senior consultants, helping them develop advanced technical and client engagement skills
About you:
Technology Consulting at Cognizant involves exciting, fast-paced work at the cutting edge of innovation. You'll be dealing with a variety of stakeholders, from C-suite executives to technical teams, as you drive transformative change. The ideal candidate will possess a powerful combination of technical expertise, business acumen, and exceptional communication skills. You should be passionate about data and have a proven track record of delivering successful, large-scale data projects that have had significant business impact.
At Cognizant, we value consultants who demonstrate high IQ, thrive on complex problem-solving, and have a genuine commitment to client success. You'll need to be confident presenting to both business and technology leaders, capable of leading diverse, cross-functional teams across the globe, and skilled in negotiation and collaboration to drive outstanding outcomes. Above all, you should have a positive attitude and relish the opportunity to work with consultants from a wide range of backgrounds on fast-paced, high-impact engagements that are reshaping industries.
**Base capability requirements include:**
+ 10+ years of progressive technology consulting experience, with a minimum of 5 years focused on Google Cloud Platform technologies
+ Proven track record of leading large-scale, enterprise data and platform transformation initiatives
+ Deep understanding and hands-on expertise with BigQuery, Cloud Storage, Cloud Dataflow, Cloud Pub/Sub, Cloud Composer, and other GCP data services
+ Comprehensive knowledge of Google Cloud AI/ML services, including Vertex AI, AutoML, and AI Platform, with a vision for their transformative potential
+ Strong background in solution architecture, with ability to design complex, scalable data platforms
+ Exceptional communication and presentation skills, comfortable engaging with C-level executives
+ Exceptional interpersonal skills and demonstrated ability to work effectively in and lead cross-functional and/or global teams
+ Proven ability to develop strategic client relationships and drive new business opportunities
+ Proven track record in mentoring and developing high-performing teams of data professionals
+ Google Cloud Professional Data Engineer and/or Professional Cloud Architect certification (additional GCP certifications preferred)
+ Ideally certified in Agile delivery (eg. SAFe, Scrum, etc)
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

NTT DATA is heavily investing globally in providing state of the art analytical solutions to its clients. Our capability has been focused locally, regionally in APAC and globally by forming strategic partnerships including Microsoft Azure, SAP Analytics, Snowflake, Matillion and many more, leveraging the strength of our cloud and network assets via the NTT group of companies.
The **Senior Data Engineer (Azure)** will focus specifically on developing solutions leveraging cloud-based data platforms and associated technologies (folloing the NTT DATA MDP architecture - Modern Data Platform). The Senior Data Engineer for MDP is expected to develop the required competency to lead and deliver successful outcomes in projects, develop pre-sales materials, engage in pre-sales activities, identify value propositions for customers, input into practices for strategic development in specific area(s) of expertise, and to maintain knowledge and educate the branch/sales/practices as required. They will work with the MDP Solution Manager to identify additional skills required within the practice and assist in developing required training curriculums.
The purpose of this position is to contribute to the overall analytics performance by supporting sales, through extensive collaboration, knowledge sharing and ensuring overall understanding for their area of expertise.
**Key Responsibilities**
+ Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.
+ Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modelling, database design & implementation, data visualization, and advanced analytics.
+ Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.
+ Lead quality assurance (QA) activities from design to implementation phase of the proposed MDP solutions to customers.
+ Collaborate with project managers for project/sprint planning by estimating technical tasks and deliverables.
+ Engage with clients' leadership and technology teams in strategic discussions to provide technical strategy and industry guidance to improve their long-term business goals.
+ Leading pre-sales activities associated with MDP related opportunities, including development of targeted demos, presales collateral, and solution positioning documents
+ Assist in the development of AMS (support) models, including the required collateral from a presales perspective to help promote AMS offering and positioning to customers
+ Staying abreast of the latest developments in the modern data platform area (especially Azure analytics services), sharing information and running education sessions with the NTT DATA BS team and customers
+ Contribute and provide support to MDP relevant analytics innovation initiatives (aka Go To Market development)
+ Lead small and large teams in delivering solutions for customers.
+ Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
+ Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.
**Critical Knowledge, Skills & Experience**
+ Experience in designing and hands-on development in cloud-based analytics solutions.
+ Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.
+ Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
+ Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.
+ Experience in developing NO SQL solutions using Azure Cosmos DB is essential.
+ Thorough understanding of Azure and AWS Cloud Infrastructure offerings.
+ Strong experience in common data warehouse modelling principles including Kimball, Inmon.
+ Experience in additional Modern Data Platforms related technologies such as Snowflake, Matillion, BryteFlow and Tableau are a distinct advantage
+ Knowledge in Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI is desirable
+ Knowledge of Microsoft BI Stack (SSRS/SSAS (Tabular with DAX & OLAP with MDX) SSIS) is desirable.
+ Knowledge of C# and Hands-on with Powershell scripting is desirable.
+ Working knowledge of Python is desirable
+ Experience developing security models.
**Technical Soft Skills:**
+ Strong customer engagement skills to understand customer needs for Analytics solutions fully.
+ Experience in leading small and large teams in delivering analytics solutions for customers Have demonstrated ability to define, develop and implement data models and supporting policies, standards, and guidelines.
+ Strong data analysis and analytical skills.
+ Have demonstrated the ability to guide the development of data requirements for projects and drive a user experience that is easy to use and delivers the right information at the right time.
+ Experience in working in a fast-paced agile environment
+ Strong problem solving and troubleshooting skills
**You will:**
+ Be an excellent communicator both written and verbal
+ Have strong interpersonal skills, with the demonstrated ability to engage well internally with colleagues within NTTDBS and with customers effectively who have both technical and non-technical backgrounds to develop shared solutions
+ Have excellent creative problem-solving skills, including undertaking research to inform problem definitions
+ Be excited about all things data
+ Be a team player liaising with innovation, sales, and analytical teams across NTTDBS
+ A 'Leader in me' always ensuring leading by example
+ Be 100% flexible on National travel
**Innovation is at the heart of how we work with our customers and how we live and breathe as a team. We are creative, passionate, ambitious and authentic, and we challenge ourselves to get the best outcomes for people and customers in an ever-evolving technology-driven world.**
**Working at NTT DATA Business Solutions has the feeling of an established start-up that values connection, transparency and trust. This personal approach is teamed with the global scale of one of the largest IT groups in the world.**
**Find yourself at new career heights with exposure to the latest technologies and working in partnership with customers who truly want to evolve in their journey with us.**
**Do you have questions?**
**We are looking forward to receiving your completed application documents.**
**Get empowered by NTT DATA Business Solutions!**
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