Senior Data Engineer
3 months ago
**Ko mātou tēnei | This is Us**
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.
**Mō te Tūranga | About the Role**
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:
**What are 5 day to day tasks the person in this role will complete?**
- Provide Date Engineering leadership on key projects for Data, Analytics & Insights.
- Develop, document, monitor and maintain reusable data assets/products that meet business requirements
- Lead 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
- Take the lead when working collaboratively across teams to ensure that investment in foundational data assets is delivering to the needs to the business and directly linked to BNZ's strategy.
- Ensure all engineering frameworks, standards and procedures adhere to BNZ requirements and are high calibre so that trusted data products can be built and maintained.
**What is the team culture and environment like?**
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.
**What is the most exciting thing about this opportunity?**
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.
**What is the most challenging thing about this opportunity?**
Understanding our data structure and its limitations, so the outputs produced are reliable and fit for purpose.
**What is your favourite thing about working for BNZ?**
The people and culture - people are truly valued and while our data is not perfect, we strive to find a way to make things work.
**What attributes will this person display in order to be successful in this role?**
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:
- Experience in data engineering roles
- Highly Proficient in SQL or Python
- A background in modern data engineering practices
- The ability to translate technical information to a non-technical audience
**Nau Mai ki te Pēke o Aotearoa | Come to the Bank of New Zealand**
- Applications close Friday 18th October 11:55pm._
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