Lead Data Engineer

We're seeking a Lead Data Engineer to join MAS and contribute to our future success as we continue to transform our data and analytics practice and build out our Modern Data Platform.

The Lead Data Engineer is an integral part of the Data & Analytics team, and is responsible for the design, management & implementation of complex data flows to connect MAS's operational systems with end users of curated reports and insights.

The role requires you to have 5+ years' experience in data engineering, and 2+ years in a leadership role.

We are searching for someone who is self-motivated, able to self-manage, thinks critically, and uses initiative.

Do you have excellent communications skills with the ability to lead and mentor a team of data engineers?

We want to hear from you!

This is a Wellington based position; strong applications from Auckland will also be considered.

What your day might look like

Mentoring a dynamic data engineering team and actively managing collaboration with stakeholders.

Lead the ongoing build and development of our Microsoft Fabric data platform.

Optimise data pipelines and processes for improved performance and scalability.

Proactively identify and troubleshoot data quality issues and implement solutions.

Consulting on projects across the business where data design experience is required.

Along with the Head of Data, develop & enforce compliance procedures internally in the team and across the business.

Work across the Data & Analytics team to foster a culture of collaboration, setting the wider team up for success.

What we're looking for

Strong problem-solving skills, with the ability to interpret complex data sets.

Ability to work collaboratively with various teams as well as others within the Data & Analytics team.

Strong understanding of ETL processes, specifically for cloud platforms.

Experience with Azure or Fabric Data Factory for data ingestion & orchestration is a must, as well as a knowledge of dbt for transformations, documentation & governance.

Knowledge of data warehousing concepts, including managing query loads for daily job executions and setting up alerting to actively manage pipeline failures.

Familiarity with building operational data stores, event streaming for data ingestion and delta tables.

Strong understanding of data security and privacy regulations.

Extensive experience with SQL for transformation and Analysis.

Proficiency in Python, notebooks and Apache Spark.

Familiarity with cloud infrastructure and Azure services.

About us

We're a New Zealand-owned insurance and investment company with a difference.

As a mutual we're owned by our Members and we make meaningful contributions to our community through our charitable foundation.

We're a small company where you get to make a big impact.

At MAS you'll join a team that's

You'll be motivated by purpose, knowing your work has a real impact on our Members and their communities.

You'll be part of a team that's ambitious and driven – we're here to achieve great things and shape the future of our mutual together.

Our values guide everything we do : Make a Difference, In It Together, Own It, Do It.

You'll be supported in a genuinely inclusive environment where your ideas, strengths and individuality are celebrated.

And we'll take care of you too – with great benefits including Health and Life Insurance, plus 6% KiwiSaver contribution.

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