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 role will be instrumental in building and sustaining Nines competitive advantage through data as youll 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 youll 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 youll 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 bachelors or masters 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:
Were committed to a safe respectful and inclusive Nine. From day one youll 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.
Remote Work :
No
Employment Type :
Full-time
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 role will be ins...
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 role will be instrumental in building and sustaining Nines competitive advantage through data as youll 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 youll 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 youll 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 bachelors or masters 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:
Were committed to a safe respectful and inclusive Nine. From day one youll 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.
Remote Work :
No
Employment Type :
Full-time
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