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Open nowPosted today

Data Engineer

Flexigroup

Where
Auckland, New Zealand
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Your applicationOpen nowData EngineerFlexigroup · Auckland, New Zealand

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Flexigroup's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. Flexigroup postings stay open a median of 8 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted today

Flexigroup median: 8 days open

The posting

About Us

Our Philosophy at humm group is to deliver creative and tailored financial solutions to our customers around the globe. We are determined to be different and to disrupt the model of traditional lending. At humm group, we enable and empower our people to build lifetime relationships of value and opportunity for the benefit of you, our colleagues, customers and shareholders.

About the Team

You will join a collaborative Data Platform team led by the Data Platform Lead, comprising five Data Engineers and a DBA supporting both operational and strategic initiatives across the organisation's data landscape.

About the Role

This is a hands-on Data Engineering role with a dual focus: supporting our existing data platforms across Australia and New Zealand while contributing to the build-out of our modern data platform.

As part of the Data Engineering team, you will help maintain reliable day-to-day data operations, monitor critical workloads, troubleshoot production issues and improve existing data pipelines. In parallel, you will contribute to building new pipelines, data products and capabilities on the modern data platform and support the progressive transition from existing platforms.

What Does An Average Day Look Like?

In this dynamic business, there is no ‘average’ day at humm group! To summarise though, you will:

Data Platform Operations & Support

  • Provide day-to-day operational support for existing data platforms and critical data services across AU and NZ.
  • Monitor data pipelines and scheduled workloads, investigate failures and data issues, and support timely incident resolution.
  • Maintain and enhance existing data pipelines to improve reliability, performance and operational stability.
  • Support production deployments, testing, monitoring and troubleshooting activities.
  • Work collaboratively with the Data Engineering team and business stakeholders to resolve issues and maintain business continuity.
  • Working hours may start earlier to provide coverage for critical AU and NZ data processing and operational support.

Modern Data Platform Delivery

  • Contribute to building and enhancing the modern data platform using Snowflake, dbt and Azure Data Factory (ADF).
  • Develop and maintain reliable, tested and well-documented data pipelines and data products.
  • Support the transition of data and workloads from existing platforms to the modern data platform.
  • Contribute to data quality, governance, security and engineering standards.
  • Help identify opportunities to simplify, consolidate and modernise existing data solutions.

About you…

  • Strong SQL and SQL Server experience, including supporting production data warehouse environments, troubleshooting, performance tuning and complex data transformations.
  • Hands-on experience with Azure Data Factory (ADF) for developing, maintaining, monitoring and troubleshooting data pipelines.
  • Working knowledge of Azure Synapse Analytics and Azure-based data solutions.
  • Experience supporting business-critical data platforms, with a strong focus on operational reliability, incident resolution and production support.
  • Experience with WhereScape RED or similar data warehouse automation tools is highly desirable.
  • Experience with data quality, testing, security, governance and access-control practices.
  • Knowledge of orchestration, source control and CI/CD practices for data solutions.
  • Exposure to Snowflake, dbt Cloud, Python and AWS services such as S3 is advantageous but not essential.

Qualifications

  • 5+ years of experience supporting and developing SQL Server-based data warehouse platforms, including operational/production support.
  • 3+ years of experience with ADF and Azure Synapse in a data engineering environment.
  • Bachelor’s degree in computer science, Information Technology, Engineering, Data & Analytics, or related discipline, or equivalent practical experience.
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