Data Engineer at Nine

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Modeling, ETL Processes, SQL, Python, Data Quality Checks, Monitoring, Root Cause Analysis, AI Technologies, Cloud Platforms, Apache Airflow, Infrastructure as Code, Terraform, Data Pipelines, Analytical Mindset, Creative Solutions

Industry

Broadcast Media Production and Distribution

Description

Company Description Nine is Australia’s largest locally owned media company. Working at Nine, you’ll have access to a unique range of experiences and opportunities, helping drive the success of the country’s most trusted television, radio, digital and publishing brands. Our content reaches almost every Australian - meaning what we do has real impact. We bring people together, celebrate the big moments, and capture the everyday ones. Some of our most beloved brands have been part of Australian life for generations, and others - new on the scene - have already found their place firmly in our lives. We’re evolving and we need people like you to bring new ideas, innovate and make your mark. Job Description Data Engineering at Nine empowers individuals to own delivery end-to-end, and explore how new data and the latest Data & AI technologies can improve workflows, and deliver greater value for our stakeholders. We have a great opportunity for a Data Engineer to join our Commercial Growth Squad.Your role will be instrumental in building and sustaining Nine's competitive advantage through data, as you'll focus on the full development and maintenance lifecycle of innovative data products. This critical work directly empowers our business to create unique, actionable insights, which are essential for driving strategy and maximising our ad revenue. What you’ll do: Design and implement data models that align with business needs. Develop and maintain reliable data pipelines (ETL) to load and transform data from various sources into data warehouses. Ensure pipelines are scalable and efficient, considering factors like data volume, velocity, and variety. Implement data quality checks and validation processes to maintain accurate 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. Explore new AI technologies and methods to enhance value delivery across Data Engineering workflows. Qualifications What you’ll bring: Strong programming ability in at least one language (e.g., Python). Proficiency in SQL. Data Modeling experience, including the application of abstract concepts in an enterprise environment. Proven experience designing and building data pipelines, ETL processes, and managing data infrastructure. Experience delivering workflow orchestration solutions and managing task dependencies using a tool like Apache Airflow. A strong analytical mindset, a passion for tackling complex technical challenges, and the ability to find creative solutions to issues. Desirable: A bachelor's or master's degree in Computer Science, Software/Data Engineering, Data Science, IT, or a related field. Experience with Google Cloud Platform (GCP), AWS, or Azure, including their data storage, processing, and analytics services. Familiarity with cloud deployment and test automation using a CI/CD solution (e.g., Cloud Build, Dagger, or Concourse). Experience in deploying cloud infrastructure as code (IaC) using Terraform or similar tools. Experience leveraging AI to deliver Data Engineering solutions. Additional Information How we work At Nine, our flexible work options vary by role and team. Depending on the position, this may include flexible hours, hybrid work, or part-time arrangements. We welcome discussing your flexibility needs during the hiring process - just ask the Talent Acquisition team. Our employee benefits include: 18 weeks paid parental leave with no distinction between primary and secondary carers. Access to 'Employee Exclusives' program - a way of getting closer to our incredible brands, offering unique experiences, behind-the-scenes access, and awesome perks. Digital newspaper subscription to our mastheads. Annual gift voucher for Stan subscription. More info at Nine Careers. Our Commitment to Diversity and Inclusion: We're committed to a safe, respectful and inclusive Nine. From day one, you'll be encouraged to bring your whole self to work and will be supported to perform at your best. We encourage applications from Aboriginal and Torres Strait Islander people, people with disabilities, and of all ages, genders, nationalities, backgrounds and cultures as we recognise the importance and value of diverse perspectives. Should you require any adjustments to the recruitment process, please advise us when you apply. Work rights: Please note to apply for this role you must already have the right to lawfully work and live in Australia.

Responsibilities

The Data Engineer will design and implement data models, develop and maintain reliable data pipelines, and ensure data quality. This role is critical for creating actionable insights that drive strategy and maximize ad revenue.