Technical Leader: Data Analytics & Engineering

New Zealand Government; Wellington; On-site; NZD 142,000 - 152,000; Full time

Benefits offered by this job

Medical Insurance

Vision Care

Kiwisaver contributions

Leave benefits

Childcare allowance

Onsite gym

Flexible working

Job summary

Government Communications Security Bureau (GCSB) in New Zealand seeks a Technical Leader in the Intelligence Directorate to guide a team of analysts in building data analytics capabilities and ETL pipelines. You will lead technical and people initiatives, aligning work with the intelligence mission and delivering high‑quality, timely data products.

You will drive advanced data analytics, apply machine learning where appropriate, and coordinate across stakeholders to shape priorities and reduce

Qualifications

• Experience in a line-management role.
• Background in data engineering, data analysis, software development, or systems engineering.
• Strong background in machine learning and artificial intelligence.
• Ability to engage with technical best practice and minimise technical debt.

Responsibilities

• Lead an established team of technical analysts to deliver data pipelines and advanced analytics.
• Shape team priorities and ensure delivery of quality, timely products aligned with user requirements.
• Develop, deliver and iterate data-driven solutions using diverse datasets and ETL pipelines.
• Provide technical and people leadership to staff and coordinate with broader intelligence mission.

Skills

People leadership

Data engineering

Data analysis

Machine learning

Software development

Prioritisation

Job description

Government Communications Security Bureau (GCSB) in New Zealand seeks a Technical Leader in the Intelligence Directorate to guide a team of analysts in building data analytics capabilities and ETL pipelines. You will lead technical and people initiatives, aligning work with the intelligence mission and delivering high‑quality, timely data products.

You will drive advanced data analytics, apply machine learning where appropriate, and coordinate across stakeholders to shape priorities and reduce