Data Engineer - Build Pipelines & AI Analytics | Flexible

Connetics; Christchurch; Hybrid; NZD 100,000 - 140,000; Full time

Benefits offered by this job

Flexible working options

Career development

Health and wellbeing benefits

Free onsite parking

Hanmer holiday home access

Job summary

Connetics, Christchurch, is seeking a Data Engineer to join our Christchurch team and help improve how we use data to support reporting, automation and AI.

You'll build and maintain data pipelines, models and integrations that turn information from our business systems into reliable, useful data.

You'll work with SAP to Dynamics 365 Business Central migration, ensure data quality and security, and partner with analytics and IT teams to drive insight and value for the business.

Qualifications

• Three to five years' experience in data engineering or a similar technical role.
• Strong SQL skills and experience building data pipelines.
• Experience with Python or another programming language.
• Experience with Databricks, Azure, Power BI or Microsoft Fabric would be advantageous.

Responsibilities

• Building and maintaining data pipelines using Databricks, SQL and Python.
• Developing data models and datasets for reporting, analytics and automation.
• Supporting the transition from SAP to Dynamics 365 Business Central.
• Improving data quality, automated reconciliation and monitoring.
• Maintaining technical documentation and data security standards.

Skills

SQL

Python

Databricks

Data pipelines

Education

Relevant qualification in data engineering or related field

Tools

Azure

Power BI

Microsoft Fabric

Job description

Connetics, Christchurch, is seeking a Data Engineer to join our Christchurch team and help improve how we use data to support reporting, automation and AI.

You'll build and maintain data pipelines, models and integrations that turn information from our business systems into reliable, useful data.

You'll work with SAP to Dynamics 365 Business Central migration, ensure data quality and security, and partner with analytics and IT teams to drive insight and value for the business.