Senior Data Engineer

MAS - Medical Assurance Society; Auckland; On-site; NZD 120,000 - 170,000; Full time

Benefits offered by this job

Health and Life insurance

Income Protection Insurance

6% KiwiSaver

Job summary

MAS - Medical Assurance Society is seeking a Senior Data Engineer to design, build and support cloud-based data solutions enabling trusted reporting, analytics and operational insights. You’ll work within the Innovation and Digital team on complex data initiatives and ensure platforms remain reliable, secure and scalable.

This permanent role can be based in Wellington or Auckland. You’ll own data engineering work from design through implementation, collaborating with Lead Data Engineer,

Qualifications

• Significant experience designing and delivering enterprise data solutions, integrations and data pipelines.
• Strong SQL development, optimisation and troubleshooting capability.
• Experience with cloud-based data platforms and modern data technologies such as Snowflake, Databricks, AWS, GCP or similar.
• Experience using Python, Spark (PySpark/Spark SQL) and modern data transformation frameworks such as dbt.
• Strong understanding of data warehousing, data modelling and modern data architecture principles.
• Excellent stakeholder engagement skills, with the ability to communicate technical concepts to both technical and non-technical audiences.

Responsibilities

• Designing, building and optimising data pipelines and integration solutions.
• Developing secure, scalable and supportable cloud-based data solutions.
• Working with stakeholders to understand business requirements and translate them into practical data solutions.
• Supporting data quality, governance, privacy and security requirements.
• Troubleshooting complex data platform issues and driving continuous improvement.
• Providing technical guidance, code reviews and knowledge sharing across the team.

Skills

SQL

Cloud data platforms

Python

Spark

dbt

Data warehousing

Data modelling

Stakeholder engagement

Tools

Snowflake

Databricks

AWS

Azure Data Services

Google Cloud Platform

Job description

About MAS

We're a New Zealand owned insurance and investment company with a difference. As a mutual, we're owned by our Members and make meaningful contributions to our community through our charitable foundation. At MAS, you'll join a team that's:

• Motivated to make a difference
• Focused on delivering high-quality outcomes for our Members
• Guided by our values: Make a difference, In it together and Own it, do it
• Supportive, inclusive and committed to helping each other succeed
• Looked after with a range of benefits including Health and Life insurance, Income Protection Insurance and 6% KiwiSaver

About the Role

Join MAS and help shape the future of our data and analytics capability. As a Senior Data Engineer, you'll play a key role in designing, building and supporting cloud-based data solutions that enable trusted reporting, analytics and operational insights across the organisation. Working within our Innovation and Digital team, you'll contribute to complex data initiatives, improve engineering standards, and ensure our data platforms remain reliable, secure and scalable. This is a permanent position and can be based in our Wellington or Auckland Office.

About the role This is a hands-on senior technical role where you'll work closely with the Lead Data Engineer, Analytics Lead, technology teams and business stakeholders to deliver high-quality data solutions that support MAS's strategic and operational objectives. You'll take ownership of complex data engineering work from design through to implementation, support and continuous improvement.

Responsibilities

What you'll be doing

• Designing, building and optimising data pipelines and integration solutions.
• Developing secure, scalable and supportable cloud-based data solutions.
• Working with stakeholders to understand business requirements and translate them into practical data solutions.
• Supporting data quality, governance, privacy and security requirements.
• Troubleshooting complex data platform issues and driving continuous improvement.
• Providing technical guidance, code reviews and knowledge sharing across the team.

What you'll bring

• Significant experience designing and delivering enterprise data solutions, integrations and data pipelines.
• Strong SQL development, optimisation and troubleshooting capability.
• Experience with cloud-based data platforms and modern data technologies such as Microsoft Fabric, Azure Data Services, Snowflake, Databricks, AWS, Google Cloud Platform or similar.
• Experience using Python, Spark (PySpark/Spark SQL) and modern data transformation frameworks such as dbt.
• Strong understanding of data warehousing, data modelling and modern data architecture principles.
• Excellent stakeholder engagement skills, with the ability to communicate technical concepts to both technical and non-technical audiences.
• A continuous improvement mindset and a passion for building reliable, trusted data solutions.