Engineer - Data Platform
kiwibankpeople Auckland, Auckland, New Zealand
Banking · 1,001-5,000 employees
About the role
You will build and deliver data products and solutions in the cloud to support analytics and reporting across the business. You will also be responsible for improving data pipeline runtime and development efficiency while advocating for DataOps and DevSecOps practices.
What they look for
Requirements
The ideal candidate has proven experience delivering data solutions from requirements to production using agile frameworks. You must possess strong development skills in SQL, Snowflake, DBT, Python, and Airflow, along with experience in cloud-based solution design.
Benefits
Full description
- Auckland based12-month fixed-term opportunity • Banking benefits, health insurance, flexible working options and more • Grow your career as a Data Engineer
Ko tātou tēnei - Hei hāpai ake i a koe | This is us. Where you matter.
At Kiwibank we are all about making Kiwi better off. We’re looking for a passionate and innovative Data Engineer to join our Data Enablement team, as they continue to work on transforming the way the bank uses data. You’ll be exposed to many different parts of the business and work across our data landscape, building data products which support delivery of a range of analytics, reporting and data focussed solutions across our business.
Kō tātou tēnei. Hei kawe i ngā mahi kia tutuki | This is us. Where making an impact matters.
As a Data Engineer with experience in building and delivering data products or data solutions in the cloud. You’ll be committed to and experienced with core engineering skills like git, automated testing, CI/CD, and solution design, and you’ll also bring a good understanding of Snowflake, Python, Airflow, and AWS products.
Ko tātou tēnei. Kia hāpai i ō pūkenga |This is us. Where your expertise matters.
For this role we’re looking for a Data Engineer with experience in building and delivering data products or data solutions in the cloud. We would love to hear from you if you have experience in the following:
- Proven demonstrated experience in delivering data solutions from requirements to production using Scrum or another agile framework • Strong development skills using SQL, Snowflake, DBT, Python and Airflow • Confident in designing and working with cloud based solutions • Strong understanding of unit testing frameworks • Experienced in building data models using AI frameworks • Proven ability in improving data pipeline runtime and development efficiency • Confident in positive advocacy for DataOps or DevSecOps, and like to run what you build • Experienced in banking or financial industry experience is preferred
You do not need to tick every box here to be considered! Above all we’re looking for a passionate and innovative Data Engineer.
Tono mai |Apply Now.
Applications close on 24th August We will be reviewing resumes throughout the advertising period and reserve the right to withdraw the ad at any time.
Ko tātou tēnei - Hei hāpai i a koe, me tō whānau |This is us. Where you and your whānau matter.
Making a difference for all Kiwi starts with making a difference for our people. Flexibility, growth, challenging and rewarding work - this is Kiwibank. A place where you can belong and thrive – we are as ambitious as we are caring. We have big ideas and big plans. For you, for Kiwibank and for all Kiwi. We are Kiwi making Kiwi better off and that means you too
