Data Engineering builds and manages the pipelines, applications and infrastructure for collecting, processing, and storing Nine’s data. We are responsible for collecting hundreds of millions of events from client devices each day and streaming them directly into our data warehouse. We extract data from the majority of Nine’s enterprise systems, centralise it in our data warehouse, and create rich data models for analysis and to inform business operations and strategy.

The team is also responsible for building solutions to surface data to users including dashboards, Slack integrations and automated static reports, as well as providing data feeds to downstream systems for personalising audience experiences and commercialisation.

• Design, develop and maintain data pipelines that extract, load and transform data from various sources into the data warehouses.

• Design and implement data models that align with business requirements and support efficient querying and analysis.

• Ensure the pipelines are reliable, scalable, and efficient, considering factors including data volume, velocity, and variety.

• Implement data quality checks and validation processes to maintain accurate and reliable data.

• Set up monitoring and alerting to proactively identify and resolve issues.

• Perform root cause analysis for incidents and implement corrective actions.

• Contribute to the technical design and vision for the data platform.

• Collaborate with cross-functional teams, including product managers, data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.

• Communicate technical concepts and solutions effectively to non-technical stakeholders.

• Stay updated with emerging data engineering technologies and trends, and evaluate their potential benefits for the organisation's data ecosystem.

Nine is hiring a Data Architect to join its Data Team to continue to make data a competitive advantage. As a Data Architect, you will work with key stakeholders to build high-performing data products, reduce the complexity of our data landscape and play a crucial role in managing and strategically planning Nine’s data architecture. You will partner with business stakeholders, product managers and data engineers and work across subject areas such as advertising, subscriptions and editorial. 

Responsibilites: 

• Design, implement, and manage consumption focused dimensional data models within a petabyte sized data platform. Specifically define how data is linked and how it flows in the system, ensuring the data models are optimised for both performance and storage.

• Work closely with stakeholders to understand their needs and design systems that support data-driven decision-making.

• Design and support the implementation of policies for data usage, data storage, data security, and data governance

• Promote self serve and help drive data literacy

• Define and promote data governance best practices to ensure data quality, consistency, and security.

• Provide data on industry trends, emerging technologies and modelling techniques, and new tool sets - we aren't afraid to experiment!

• Conduct data analysis and data profiling to discover data quality issues, data integration opportunities, and data enrichment opportunities.

• Mentoring data engineers on data modelling and data management

• Keep up ­to ­date with media and technology industry changes and stimulate discussion

Senior Cost Manager/ Associate to support Data Center, defense projects in Sydney and support wider Sydney Cost Management team. While the candidate will be placed within the MEP team.

• Senior cost manager providing support to the team across all aspects of projects including cost estimates, quantity take-off, value engineering, tendering and evaluation, progress claim and variation assessment, final account close-out.
• Estimating and cost planning to include producing and presenting the final cost plan report.
• Measurement of all building elements for cost plan.
• Engage with market to obtain quotations / pricing to support cost estimate.
• Progress claim and variation assessments and valuations.

To provide technical pre and post-contract support to our current secured data centre projects and general MEP support to the wider Sydney team. This is key to ensure we can deliver our services to our clients and have the capacity to tender future DC projects and support the growth within our sectors.

• Provide support to senior cost manager across all aspects of projects including cost estimates, quantity take-off, value engineering, tendering and evaluation, progress claim and variation assessment, final account close-out.
• Estimating and cost planning to include producing and presenting the final cost plan report.
• Measurement of all building elements for cost plan.
• Engage with market to obtain quotations / pricing to support cost estimate.
• Progress claim and variation assessments and valuations.

An exciting opportunity for a Senior Data Scientist to join a team who are dedicated to developing, building, and delivering data science products that offer valuable insights and tackle real business challenges,

As part of our team, you'll be at the forefront of gathering and analysing data, crafting and implementing data science models, and presenting game-changing insights to stakeholders. We push the envelope on what's possible, pioneering new and novel data science techniques.

Our team's focus areas include implementing generative AI to support our stakeholders, building recommendation and personalisation solutions, and forecasting key metrics to empower data-driven decision-making.

You will be a solid team player, who shows commitment to the team's purpose and effectively contributes and shares skills/knowledge with others. 

Day to day you will;

• Lead the design and implementation of advanced predictive models and algorithms.

• Analyse complex data sets to extract actionable insights that inform strategic business decisions.

• Provide strategic guidance to cross-functional teams, including marketing, editorial, and product development, to leverage data insights in decision-making processes.

• Lead data-driven projects from conception to execution.

• Oversee the development and optimisation of data pipelines.

• Drive innovation by exploring new data sources, tools, and techniques to enhance analytical capabilities.

• Mentor and coach junior data scientists.

• Share expertise and insights with stakeholders at all levels of the organisation