12 Oct
Bank of New Zealand
Auckland
To accommodate for the increasing demand for data engineers, we are excited to be growing our team.
In the Analytics Centre of Excellence, we focus on finding innovative ways to help New Zealanders be good with money.
We believe that starts with a culture where people work together to solve big issues across BNZ.
We work across the bank to empower colleagues to make data driven decisions and make things easy for our customers and our people.
We sat down with our Head of Data Assets (who you'd report to), and she let us know the following about the 12 month fixed term role: Day to Day Tasks The successful candidate is expected to build reusable data assets/products by: Providing Data Engineering leadership on key projects for Data,
Analytics & Insights.
Developing, documenting, monitoring and maintaining reusable data assets/products that meet business requirements.
Leading the utilisation of data engineering tools and techniques (e.g.
pipeline automation) to uplift data engineering efficiencies and enable the business to gain benefit from our data faster.
Taking the lead when working collaboratively across teams to ensure that investment in foundational data assets is delivering to the needs of the business and directly linked to BNZ's strategy.
Ensuring all engineering frameworks, standards and procedures adhere to BNZ requirements and are high calibre so that trusted data products can be built and maintained.
Team Culture and Environment The team is made up of experienced data engineers at all levels of experience who regularly share their recent projects, learnings and tips & tricks.
In the wider group (Digital, Data & Analytics) we foster an open,
flexible and inclusive environment that supports collaboration within the immediate team and across the teams in the wider DD&A; organisation.
Projects and Work The successful candidate will be working on both short and long term data projects, working directly with business and technical stakeholders to solve problems and deliver reusable data solutions.
Opportunity Highlights Our data engineers have the flexibility to build data solutions that are efficient, fit-for-purpose and scalable.
We have standards and frameworks to guide the engineers and are continuing to evolve as we learn from past experiences.
We have a buddy system allowing new joiners to learn directly from an existing team member as part of our onboarding process.
Individuals are also encouraged to work on their development plan,
which may involve teaching or learning a new technical skill from another engineer.
Challenges Understanding our data structure and its limitations, so the outputs produced are reliable and fit for purpose.
Attributes for Success We are looking for someone with Curiosity and a love of data combined with a love of programming to create data outputs and pipelines, along with: Highly Proficient in SQL or Python.
A background in modern data engineering practices.
The ability to translate technical information to a non-technical audience.
Job Details Reference # 148352 Posted on 04 Oct 2024 Location(s) 80 Queen Street - Auckland Expertise Digital,
Information & Communication Technology Application Process If this is your first time applying for a job at BNZ, it involves a simple two-step process.
Registration: Create a user account, and upload your CV and desired employment criteria.
Application: Complete a quick job related questionnaire.
Applications will be reviewed regularly across the advertising period, but we do reserve the right to close applications early.
After You've Applied Depending on which role you have applied for, our recruitment process may vary slightly, but in most cases, will involve the following steps: You'll receive an email acknowledging your application.
Our recruitment team will review your application and get back to you within 1-2 weeks of the job closing.
If shortlisted,
you may be asked to complete some testing relevant to the position you have applied for, and/or be invited to complete a phone or video based interview.
If successful, you'll move through to the interview stage which may include a two-stage individual interview, or a group based assessment centre.
Please note, some roles may also require you to complete psychometric, verbal, numeric, and abstract reasoning tests during the recruitment process.
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▶️ Senior Data Engineer
🖊️ Bank of New Zealand
📍 Auckland