Provide advisory and tactical support on Customs & Trade related matters. 

This role would suit applicants with entry level exposure to Customs and Trade Compliance, either through freight forwarding, brokerage, international business or transferable disciplines. Ongoing training is available for suitable candidates.

Activities include, but not limited to, Tariff classification, advisory on import/export regulatory matters, determination on licensing requirements, vendor solicitation, export control determination and advisory, reporting and other activities pertaining to promoting an effective trade compliance program.

KEY RESPONSBILITIES: 

• Exceptional Customer Service:  Exceeds customer expectations by anticipating, understanding and meeting needs. Is proactive and when issues arise, is timely and resolute in solving problems, including escalating to management when necessary.
• Reliability:  Consistently meets deadlines. Is punctual and can be relied on for planning purposes. Is organised, manages own time effectively and can prioritise.
• Communication:  Effectively listens to others and communicates (verbal and written) in a professional manner, both internally and externally. Provides relevant and timely information to co-workers, customers and service providers.
• Job Execution:  Consistently completes quality work that matches job expectations. Is committed to operational excellence and continuous improvement for own job function and across the network. All activities are compliant with company policies/procedures and code of business conduct and with government regulations.
• Collaboration:  Displays a willingness to accomplish not only his/her own job responsibilities without the need for constant prodding but is willing, without request, to aid and assist others to the benefit of the company and/or customers. Works in harmony with superiors and fellow workers without incident or delay.

What we’re all about.

It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can go. Nearly half of our colleagues come from an ethnic or religious minority background. We’re made up of people from 47 nationalities who speak over 20 languages. As a diverse mix of individuals, we make one big unstoppable team.      

If our incredible culture sounds like you, we’d love you to join us.

The opportunity.

Our Big Data Graduate Programme is designed for you to develop your technical skill set, think creatively and be a real problem solver of major issues our clients are facing today. If you are someone who likes to think outside the box, holds a real passion for data and is open to new ideas, you’ll find a Qmmunity that recognises your needs to be a creative innovator and embrace it.

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We offer:

• Competitive salary
• Company bonus 
• 11.5% Superannuation
• 20 days annual leave, plus national holidays + your birthday off!
• Private Healthcare with Medibank, including dental, orthodontics & optics cover
• Regularly bench-marked salary rates 
• Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave 
• Well-being days 
• Volunteer Day off
• Work from Home Equipment
• Novated Leasing
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Continuous Training and Development, including access to Udemy Business 
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
• Employee Referral Program  
• Team Social Budget & Company-wide Socials 

Our mission

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

It's all about you

Quantexa is proud to be an Equal Opportunity Employer. We’re dedicated to creating an inclusive and diverse work environment, where everyone feels welcome, valued, and respected. We want to hear from people who are passionate about their work and align with our values. Qualified applications will receive consideration for employment without regard to their race, colour, ancestry, religion, national origin, sex, sexual orientation, gender identity, age, citizenship, marital, disability, or veteran status. Whoever you are, if you’re a curious, caring, and authentic human being who wants to help push the boundaries of what’s possible, we want to hear from you.

Internal pay equity across departments is crucial to our global compensation philosophy. Grade level and salary ranges are determined through interviews and a review of experience, education, training, knowledge, skills, and abilities of the applicant, equity with other team members, and alignment with market data.

Quantexa is committed to providing reasonable accommodations in our talent acquisition processes. If you require support, please inform our Talent Acquisition Team.

start. don’t stop – Apply.

Who are we?  

Humanforce’s vision is to make work easier and life better for frontline and flexible workforces. 

Humanforce provides the market leading, best-in-one human capital management (HCM) suite for frontline and flexible workforces - without compromise. Our employee centred, intelligent and compliant HCM suite is highly integrated and composable, and consists of Workforce Management (WFM), HR, Payroll, and Wellbeing.  

Humanforce has built strong foundations since its founding in 2002. We help over 2300 customers and almost 1 million employees under management in 30+ countries, across a wide range of industries, including aged, child and health care; education; hospitality; retail; local government and more. Today, we have offices across Australia, New Zealand, United Kingdom, North America and the Philippines.

Customers choose Humanforce because we enable them to deliver an exceptional employee experience, build a compelling employee value proposition, and connect the flow of the world’s talent with the growth, productivity and efficiency objectives of frontline and flexible workforces. 

Who you are

We are seeking a dynamic and self-driven Senior Data Engineer with a genuine passion for data and a commitment to achieving impactful results. Armed with a solid technical skill set and exceptional problem-solving abilities, you excel in collaborative settings and relish being part of a diverse team. You confidently take the lead on key data engineering projects and take pride in crafting robust, scalable, and efficient solutions. Your unique talent for merging innovation with practicality positions you as a vital asset in the development of a real-time, customer-focused analytics product.

What you’ll do

• Create and sustain a highly scalable and efficient data warehouse tailored for customer-facing analytics.
• Design, maintain, and deploy dbt core along with dbt pipelines for effective data transformations.
• Craft and execute solid data extraction and loading mechanisms utilising Streamkap.
• Boost the performance of ELT pipelines with a focus on optimising query speeds.
• Establish a robust data governance framework to uphold data quality and consistency.
• Work in close partnership with data scientists, software engineers, DevOps, and DBAs to drive cross-functional initiatives.
• Ensure the integrity, reliability, and security of our data engineering architecture.
• Oversee and troubleshoot data workflows to ensure smooth and uninterrupted operations.

What you’ll need

• At least 5 years of experience in data engineering or a related discipline.
• Adept in SQL and Python.
• Proficient in constructing and managing data pipelines (such as dbt core).
• Familiar with cloud technologies (like AWS).
• Experienced in administering and architecting relational databases.
• In-depth knowledge of AWS cloud services for data engineering and analytics.
• Practical experience in database administration and optimisation techniques.
• Strong grasp of ETL/ELT processes and pipeline development.
• Exceptional problem-solving abilities with a knack for independent work as a self-starter.

Some ‘nice to haves’

• A strong background in software engineering or development.
• Proven experience in an Agile environment.
• Familiarity with Infrastructure as Code tools (such as CloudFormation and Terraform) and CI/CD practices (like GitHub Actions) is a definite plus.
• Knowledge of real-time data replication tools and processes.
• A solid understanding of advanced data transformation techniques and strategies for query optimisation.
• Experience in constructing data systems for business intelligence and analytics within enterprise environments.

Our values  

• We are bold  
• We are all in  
• We are customer obsessed  
• We do what we say  
• We are good humans  

Our approach to flexibility  

We are passionate about people making their own decisions about where and when they work. Our aim is to facilitate hybrid working (mix of in the office and from home) where possible to support our people to be effective, empowered, and productive to achieve both their career and personal goals. Because we recognise that working flexibly means different things to different people, flexible working exists in many forms. 

Benefits 

• A flexible working environment  
• The opportunity to be part of a fast-growing tech company   
• A focus on development with access to Go1 learning   
• Paid parental leave and Quarterly Wellbeing Days   
• Employee talent referral scheme (know great people, be rewarded)   
• A fun and friendly culture working with passionate and talented people   
• A work environment where you can genuinely improve the world of work! 

We are a diverse and dispersed organisation and are actively looking to grow our team with individuals from all diverse backgrounds. We encourage applicants from all backgrounds, cultures, ages, genders, neurodiversity, religions, sexual orientations, and experiences to apply.  

We are a 2024 Circle Back Initiative Employer and commit to respond to every applicant

Are you ready to lead the charge in building a next-generation data platform that’s revolutionising patient care and operational excellence? At Montu, we’re on a mission to make a meaningful impact on the lives of thousands by enabling access to personalised alternative health services. We’re seeking a visionary Engineering Manager to spearhead the development of our cutting-edge data platform. This is your chance to blend leadership, innovation, and technology in a role that makes a real difference.

As the Engineering Manager for the Data Platform, you will:

• Lead and Innovate: Oversee the end-to-end development and deployment of a scalable, robust data platform supporting alternative health research, patient care, and operational efficiencies.

• Lead a Team of Stars: Lead, mentor, and guide a talented team of Data Platform Engineers and Software Engineers in a collaborative, innovative environment.

• Collaborate for Impact: Partner with product managers, data specialists, and other stakeholders to translate complex business needs into seamless data solutions.

• Drive Excellence: Architect and design a high-performance data platform with unmatched availability, scalability, and security.

• Ensure Integrity: Implement data governance frameworks that prioritize compliance, data privacy, and regulatory standards.

• Stay Cutting-Edge: Continuously evaluate and adopt emerging tools and technologies to enhance the platform’s performance and capabilities.

2x Positions Available: We are looking for a Mid-level Data Engineer & Associate Data Engineer to join our Data Team to support the performance, integrity, and security of the organization's databases.

What is this role about?

The data engineer is responsible for building a data platform to help develop self-serve BI capability and enforce the data management practices are implemented as part of solution design. Help foster a culture of continuous improvement in processes, operations, and support by enforcing best practices and ensuring that the team consistently maximizes the efficiency and effectiveness of the platforms.

Here's more of what you’ll work on:

• Develop and Maintain AWS Data platform infrastructure code through Terraform.
• Produce the platform for extraction, loading and transformation (ELT) of data from a wide variety of data sources using ‘Big Data’ technologies by building an Integration Hub.
• Implement, review, and manage governance policies to help implement them on the data platforms.
• Manage the release of configuration changes to production environments in accordance with Cuscal change management principles.
• Manage and process complex, large data for analysis (e.g., hierarchies of datasets, inter-relationships, partitions, views, etc.)

As a Principal Consultant, you will support the key analytical and system development activities performed by the Consulting Data and Digital Team for our clients, including:

1. Providing data strategy and design recommendations to our clients based upon data maturity diagnostics
2. Develop digital technology strategies including investment recommendations
3. Lead digital project implementation through stakeholder management and scope coordination
4. The development of key client data insight reports used to drive enhanced portfolio performance and management
5. The development of program/ portfolio management systems used to improve delivery reporting and control
6. Deploying enhanced data management frameworks with clients and managing increased levels of data competency across organisations

As a Principal Consultant, you will be expected to support our team by:

1. Support our market presence by identifying new project opportunities through networking and relationship building
2. Having the ability to lead and deliver open tender responses and have strong proposal response ability who understands what a strong proposal response looks like
3. Support on service line development by identifying new products or methodologies which can be taken to market
4. Help manage internal data warehousing platform environments and our internal data strategies
5. Help our broader team members developed through mentoring and coaching with a focus data and digital professional development

In addition to these primary activities in the role you may be asked to assist with the following activities:

1. Development of key client financial reports and scenario analytics used in Business Case Development
2. Providing hands on PMO support through the management of programs and coordinating key data entry required for delivery and financial reporting
3. Assisting with data and digital diagnostics findings reports and recommendation papers.
4. Identifying improvement or efficiency opportunities and producing coherent and persuasive cases for data and digital change.
5. Translating client data and digital strategy into clear action plans that make a tangible difference and leading performance improvement initiatives
6. Oversight and management of system deployments with vendors, including implementation planning, ensuring the production of the detailed project plan.
7. Development of small-scale applications which can deployed to clients, or for internal use.

Data and Digital Skills

• Digital and technology strategy and enhancement recommendations (Intermediate to advanced)
• Data strategy and architecture design management (Intermediate to advanced)
• Digital project implementation management (advanced)
• System integration (intermediate)
• Application development (intermediate)
• Analytical reporting skills and dashboard development (advanced)
• Scenario analytics and modelling (advanced)
• Data interrogation and cleaning (intermediate)
• Source data standardization and key mapping skills (intermediate)
• Data model development (intermediate)
• Development of key insights reports based upon analytical findings (advanced)
• Creating conceptual data maps and data schemas (intermediate)
• Understanding of using statistics to interpret data (intermediate)

System Knowledge

• Business Intelligence
  • PowerBi/ Tableau or similar (advanced)
• Programming
  • Python/ R Data (or similar) - (intermediate)
  • MS Visual Studio or similar; – (intermediate)
  • MS365 Power Platform (Apps, automate) – (intermediate)
• Database Platform Development
  • Microsoft SQL + SSMS – (intermediate)
  • Microsoft Azure Platform (Synapse, Machine Learning, Databricks) – (intermediate)

The 9Predict data science team develops, builds and delivers data science products to provide audience forecasting and solutions to business problems. Key responsibilities include gathering and analyzing data, developing and implementing data science models, and communicating findings to stakeholders. We push the envelope in what is possible and work on new and novel implementations of data science techniques.

Major area of focus for the team is forecasting audiences across all of Nine’s assets (Metro TV, Regional TV, 9NOW and other channels) to more effectively monetise & yield manage commercial ad inventory.

Role Responsibilities:

• Analyse large and complex data sets to uncover insights and trends.
• Develop predictive models and algorithms.
• Collaborate with other data scientists and analysts to design and implement innovative solutions that support business objectives.
• Implement and maintain data pipelines and workflows.
• Conduct data cleaning, transformation, and validation.
• Create and present clear and concise reports, visualisations, and dashboards to communicate findings and recommendations to stakeholders.
• Use data visualisation tools to effectively convey complex data insights to non-technical audiences.

Employee Responsibilities:

• Stay updated with the latest industry trends, technologies, and best practices in data science and media analytics.
• Participate in training and professional development opportunities to enhance skills and knowledge.
• Contribute to a positive and collaborative team culture.
• Share knowledge and insights with team members.
• Ensure compliance with data privacy regulations and ethical guidelines in all data-related activities.