Senior Data Engineer: Lead Data Warehousing & Cloud

BNZ

Wellington, Kaipātiki

Hybrid

NZD 110,000 - 170,000

Full time

2 days ago
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Benefits offered by this job

Flexible working
Generous leave
Growth opportunities

Job summary

BNZ is seeking a Senior Data Engineer to lead design, delivery and improvement of data products powering insights and decision-making. You will work across data warehousing, mainframe and cloud technologies while guiding the team’s technical direction and engineering practices.

The role combines hands-on data engineering with leadership, in a collaborative, agile context. You will mentor engineers, ensure robust testing and promote modern DevOps standards in a hybrid Wellington or Auckland

Qualifications

  • Proven SQL and mainframe expertise with JCL/SAS.
  • Experience with data warehouse concepts and practices.
  • Desirable Snowflake, Python and Airflow familiarity.
  • Commitment to modern engineering practices and DevOps.

Responsibilities

  • Gather and understand data requirements and source-system constraints.
  • Explore raw and conformed data; transform into reliable products and reports.
  • Produce high-value technical documentation for stakeholders and sign-off.
  • Perform rigorous unit testing and assist with system testing as needed.
  • Complete code peer reviews, mentor engineers and promote strong engineering practice.
  • Improve platform stability, scalability, security and compliance.
  • Use AI-powered development tools responsibly to enhance delivery and quality.
  • Collaborate with stakeholders and cross-functional teams to align with BNZ goals.

Skills

SQL
Mainframe (JCL/SAS)
Data warehousing
Snowflake
Python
Airflow
DevOps
Communication

Tools

SAS
JCL
Snowflake
Airflow

Job description

BNZ is seeking a Senior Data Engineer to lead design, delivery and improvement of data products powering insights and decision-making. You will work across data warehousing, mainframe and cloud technologies while guiding the team’s technical direction and engineering practices.

The role combines hands-on data engineering with leadership, in a collaborative, agile context. You will mentor engineers, ensure robust testing and promote modern DevOps standards in a hybrid Wellington or Auckland

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