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Data Analytics Engineer
Posted on Dec. 9, 2024
- Auckland City, New Zealand
- No Salary information.
- Full Time
- Reference: 43954
- Applications close on:
- Location: Auckland
- Work Type: Fixed term full time
- Expertise: Engineering – Hardware, Engineering – Network, Engineering – Software, Data, Product & Data
- JOB DESCRIPTION: Analytics Data Engineer 2024112.pdf
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 both 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 five-month fixed term contract.
What we're looking for - Tā mātou e kimi nei
To be successful in this role, we are looking for
- Advanced Data Engineering proficiency including designing and building robust ETL/ELT pipelines and be familiar with the following services including Databricks, Azure Data factory, ADLS, Logic App, Azure Functions etc
- Experience in ML modelling building + Realtime data processing
- Seasoned Data developer on SQL, Python etc with sound experience on Big Data processing using PySpark 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.
- Have dealt with Azure monitoring solution in the context of Data Platform to oversee data pipeline run history, pipeline health and overall data quality.
- Understand critical corporate reports/dashboards and the dataset behind them, provide support when issue happens.
- Good understanding of version control using tools such as Git
- 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 Head of Talent Acquisitions, Philly Irvine, at 021 564 691. Philly is passionate about TVNZ careers and can't wait to chat with you!
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What to expect
When you apply
If this is the first time applying for a role at TVNZ, you'll be asked to register and upload your C.V. You can login anytime to update your details and track your job application status.
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After you've applied
You'll receive an email acknowledging your application.
Our recruitment team will review your application and get back to you within 2 weeks of the job closing. If shortlisted, you'll be contacted by the hiring manager and invited for an interview.
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