Our vision is to be the number one streamer for trusted news, sport and entertainment and we have three strategic pillars to support the business to achieve this:

• Audiences
• Deliver exceptional, digital-led content and experiences for viewers.
• Revenue
• Be the preferred digital platform for NZ advertisers.
• Future Business
• Realign our operating and cost models with a digital-first focus.

The opportunity - Te tūranga

As the Data Analytics Engineer, you will be responsible for designing, implementing, and optimising data infrastructure and analytics solutions in collaboration with internal teams and external vendors.

In this role you will focus on ensuring that data is effectively structured, integrated, and accessible to meet business objectives while adhering to industry standards for security, scalability, and performance.

You will also provide technical guidance and strategic input, helping to elevate the organisation's data analytics capabilities.

This is a 12 month fixed term contract.

What we're looking for - Tā mātou e kimi nei

To be successful in this role, we are looking for

• Essential experience in working within a Databricks, Azure Data Factory, ADLS, Logic App, Azure Functions, API Management environment.
• Advanced Data Engineering proficiency including designing and building robust ETL/ELT pipelines (batch/streaming)
• Seasoned Data developer with sound experience on Big Data processing using PySpark, SQL, Python and other technologies.
• Well versed in development best practice, proven technical capability in designing and implementing IaC, CICD, source control in context of data development.
• Experience working within an Azure DevOps environment for work tracking, source code version control, and developing deployment pipelines
• Experience in ML modelling building + Realtime data processing
• Hands-on experience using Mosaic AI on Databricks (formerly Databricks Machine Learning), Feature Stores and Model Serving while following ML Ops Best Practices
• Have dealt with Azure monitoring solution in the context of corporate data platforms to oversee data pipeline run history, pipeline health, run-time performance, ML model drift and overall data quality.
• Understand critical corporate reports/dashboards and the dataset behind them, provide support when issue happens.
• Strong communication skills and ability to work closely with the wider data and analytics community and vendors to deliver to business requirements.

Don't miss out on this amazing opportunity! Connect with our Talent Advisor, Clare O'Sullivan on 021 425 273 or apply via our portal to be considered.