Data Engineer - Senior Analyst/Manager

Description

The role is Manager level, Senior Associate grade, on the Data team in Auckland (Tāmaki Makaurau), New Zealand.

The team is growing. The company works on enterprise transformation programmes and cloud-based data solutions for its clients.

You will lead engagements across many clients and technologies, build trusted relationships with senior business and technical stakeholders, and lead and develop high-performing teams.

You will own delivery quality, commercial outcomes and client value, and work across the full project lifecycle from opportunity shaping and discovery through to design, build, deployment, analysis and ongoing optimisation.

Visa sponsorship is available.

Responsibilities

• Lead client engagements and workstreams: clarify requirements, shape delivery approaches and turn needs into scalable data solutions.
• Own the design and delivery of modern data platforms and pipelines on Azure Data Factory, Microsoft Fabric, Databricks and Snowflake.
• Give technical direction and quality oversight for ETL/ELT, SQL, Python and Spark work, focused on trusted data, automation, performance and scalability.
• Promote AI-enabled tools for analysis, coding, testing, troubleshooting and documentation, keeping sound judgement, quality and security controls in place.
• Oversee complex data analysis and explain insights, issues and opportunities to senior stakeholders with clear visuals and narrative.
• Lead data architecture, solution design, technical specifications, estimates, delivery planning and key design decisions.
• Advise clients on enterprise data governance, metadata management and data quality, and build fit-for-purpose practices into delivery.
• Run workshops and influence senior business and technical stakeholders, turning technical work into practical business outcomes.
• Make sure CI/CD and Infrastructure as Code support secure, repeatable and scalable deployments.
• Manage delivery risks, dependencies and issues across platform, integration and data quality in complex client environments.
• Lead and grow delivery teams by setting clear expectations, delegating, coaching, giving feedback and supporting individual performance.
• Work across data, analytics, risk and technology, and contribute to proposals, practice development and transformation outcomes.

Requirements

• 6+ years of experience in data engineering, data and analytics, technology consulting or a related field, including leading data solution delivery for clients.
• Strong consulting, commercial and stakeholder management skills, including building trust, influencing senior stakeholders and turning business needs into technology and data outcomes.
• A track record of leading delivery teams: delegating, setting expectations, giving feedback, coaching and owning collective results.
• Strong analytical and problem-solving skills, including guiding teams through unfamiliar datasets, testing hypotheses and communicating insights through analysis and visualisation.
• Experience leading, or playing a significant role in, enterprise transformation, cloud modernisation or data platform initiatives in complex environments.
• Solid hands-on understanding of modern data solutions on Azure, Microsoft Fabric, Databricks, Snowflake or similar platforms, able to give technical direction and challenge design decisions.
• Strong foundations in data engineering, analytics and modern architectures, including ETL/ELT, data modelling, APIs and integration, cloud-native and lakehouse approaches.
• Strong understanding of data governance, data management and data quality. Experience with governance and metadata management tools is an advantage.
• Experience overseeing modern development and deployment practices, including automation, CI/CD and Infrastructure as Code.
• A collaborative, adaptable and growth-minded approach, with the ability to build effective teams and a positive, accountable culture across different clients, industries, technologies and programmes.

Conditions

Flexible working is available.

Visa sponsorship is available.

We are not working with recruitment agencies for this role, so please apply directly.

The role may close before the listed end date of December 31, 2026, if a suitable candidate is found early.

Applications are reviewed by people. Secure AI-enabled tools may support parts of the recruitment process.

Travel requirements: not specified.

Equal opportunity: the company welcomes differences and inclusive practices.

Benefits

• Discretionary bonus opportunities and generous referral bonuses.
• Retail discounts and deals.
• Global network, leadership development, A.I. tools and training, and formal learning pathways.
• $250 annual wellbeing allowance, life and income protection, EAP and wellbeing app access, 15 days of paid sick leave, and group-rate health insurance (eligibility applies).
• Two paid recognition days off each year during the summer shutdown, and the option to buy up to two extra weeks of annual leave.
• Paid parental leave for all parents with flexible options and financial planning support, inclusive networks, and paid volunteering leave.
• Coaching culture and technology, coaching and flexibility support.