Data Engineering Manager/Senior Data Engineer

Programmed; Sydney; On-site; AUD 140,000 - 200,000; Part time

Benefits offered by this job

Temporary contract with benefits

Potential for permanent role

Job summary

Programmed Maintenance Services – Sydney NSW is seeking a Data Engineering Manager/Senior Data Engineer to join their Data Analytics function. The role is highly hands-on, owning 60-70% of BAU delivery, production support, and technical execution.

The candidate will work across BAU and project delivery for insurance data domains such as policy, claims, underwriting, pricing, and bordereaux (BDX), contributing to platform uplift and automation initiatives.

Qualifications

• Experience in Data Engineering, Data Analytics, or Data Platform roles.
• Experience in SQL, Python, ETL/ELT pipelines, and data modelling.
• Proven ability to review, debug, and optimise data pipelines and production code.
• Experience managing BAU and project delivery in complex, multi-stream environments.
• Current/past experience in general or commercial insurance is a must.
• Experience in insurance domains such as policy, claims, underwriting, pricing, or bordereaux (BDX).
• Exposure to data platform modernisation or legacy system transformation programs.
• Familiarity with cloud platforms such as AWS, Azure, Snowflake, or Databricks.

Responsibilities

• Act as a key supportmanaging BAU delivery priorities and stakeholder coordination.
• Take ownership of 60-70% of BAU operations, including monthly and quarterly reporting cycles and production support.
• Review, debug, and guide SQL and Python development across pipelines, transformations, and reporting datasets.
• Translate insurance business requirements into scalable data engineering solutions across core domains.
• Support automation and continuous improvement of data pipelines, reporting, and operational processes.

Skills

SQL

Python

ETL/ELT pipelines

Data modeling

Data analytics

BAU and project delivery

insurance data domain knowledge

Tools

AWS

Azure

Snowflake

Databricks

Job description

Programmed Maintenance Services – Sydney NSW

Our client is seeking a Data Engineering Manager/Senior Data Engineer to join their Data Analytics function.This is a highly hands-on position where you will take ownership of 60-70% of BAU delivery, production support, and technical execution.

You will operate across both BAU and project delivery, supporting insurance data domains such as policy, claims, underwriting, pricing, and bordereaux (BDX), while contributing to platform uplift and automation initiatives.

Key Responsibilities:

• Act as a key supportmanaging BAU delivery priorities and stakeholder coordination
• Take ownership of 60-70% of BAU operations, including monthly and quarterly reporting cycles and production support
• Review, debug, and guide SQL and Python development across pipelines, transformations, and reporting datasets
• Translate insurance business requirements into scalable data engineering solutions across core domains
• Support automation and continuous improvement of data pipelines, reporting, and operational processes

Skills & Experience:

• Experience in Data Engineering, Data Analytics, or Data Platform roles
• Experience in SQL, Python, ETL/ELT pipelines, and data modelling
• Proven ability to review, debug, and optimise data pipelines and production code
• Experience managing BAU and project delivery in complex, multi-stream environments
• Current/past experience in general or commercial insurance is a must
• Experience in insurance domains such as policy, claims, underwriting, pricing, or bordereaux (BDX)
• Exposure to data platform modernisation or legacy system transformation programs
• Familiarity with cloud platforms such as AWS, Azure, Snowflake, or Databricks
• Experience supporting automation of BAU reporting and manual processes
• Exposure to analytics or AI initiatives such as churn modelling or SAS migration

What's on Offer:

• A high-impact roleowning 60-70% of BAU delivery while shaping insurance data transformation initiatives.
• Clear progression into a more leadership role as automation and platform maturity increase.
• 12-month fixed-term salaried contract with permanent benefits, with a high likelihood of conversion to a permanent role within the year