About Us
Founded in Dunedin in 2005, Cook Brothers Construction has grown
significantly over the past 20 years. From our origins in Otago, we have
expanded to establish regional offices in Queenstown, Wānaka, Canterbury,
Otago, and Auckland regions.
We believe in celebrating
our achievements, recognising the hard work and dedication that have driven our
success. Our team and our projects stand as a testament to this commitment. Our
approach is to inspire rather than manage. We trust our teams to make the best
decisions for Cook Brothers Construction, granting them the freedom to act in
the company’s best interest.
Our pursuit of innovation,
quality, client satisfaction, sustainability, and health and safety drives us
to be a national leader in the construction industry. We believe our team is
the cornerstone of this ambition.
About the role:
Cook Brothers Construction is growing our Data & Intelligence
capability, and we’re looking for a motivated Graduate Data Engineer to join
our Dunedin team. If you’re passionate about data, automation, and building
tools that help people make smarter decisions, this is an opportunity to kick‑start
your career in a supportive, forward‑thinking environment.
As a Graduate Data Engineer in the IT & Systems team, you’ll
work closely with the Business Systems Analyst to support the development,
implementation, and continuous improvement of Business Intelligence (BI) and
Artificial Intelligence (AI) tools across the business. You’ll help build data
pipelines, develop reporting models, support automation initiatives, and
contribute to the data foundations that power our projects nationwide.
This is a hands‑on role where you’ll learn, grow, and make a real
impact.
Duties:
- Data pipeline development – Assist with
building and maintaining pipelines across multiple construction systems.
- SQL development – Write and test SQL,
transformation logic, dimensional modelling, and data quality checks.
- Documentation – Contribute to data
dictionaries, ERDs, and pipeline architecture documentation.
- Pipeline monitoring – Monitor pipeline runs
and triage basic failures.
- Power BI support – Maintain semantic models
and assist with dashboard/report development.
- Ad hoc analysis – Prepare datasets for
project, finance, and group teams.
- Data quality – Profile new data sources and
apply validation rules.
- Governance – Support metadata tagging and
lineage documentation.
- Automation – Build and test Power Automate
flows for routine business processes.
- Attend stakeholder meetings, capture
requirements, and follow standard project procedures.
Skills and Experience:
We’re looking for someone who brings
curiosity, initiative, and a willingness to learn.
- Strong analytical and problem‑solving skills.
- Understanding of BI and AI concepts, tools,
and models.
- Hands‑on technical capability and interest in
data engineering.
- Strong documentation and communication skills.
- Ability to explain ideas to both technical and
non‑technical audiences.
- Flexible, adaptable, and proactive approach.
- Self‑motivated, positive, and eager to
contribute to a team environment.
- Tertiary qualification (or working towards
one) in a relevant field is advantageous.
What we offer:
- Opportunities to work on exciting, complex, and
award‑winning projects
- Career development and professional growth
supported by a high‑performing team
- A positive, collaborative workplace culture
- Work/life balance and the lifestyle benefits of
living in Dunedin
- Health and wellbeing support, including access to
EAP services
- Social events, team activities, and a genuinely
supportive environment
- Exposure to landmark commercial developments across
New Zealand
- A company that values innovation, continuous
improvement, and excellence
Why you should apply:
This is a great opportunity if you’re looking for a
role where you can grow your career, and be part of a team that genuinely
values what you bring.
You’ll be working on meaningful, high‑profile
projects, surrounded by people who want you to succeed and who take pride in
delivering exceptional work.
