Data Engineering Manager/Senior Data Engineer
Hands-on Data Engineering Manager/Senior Data Engineer in Sydney owning ~60-70% of BAU delivery, production support, and technical execution for an insurance client's Data Analytics function. Core work spans policy, claims, underwriting and pricing data using SQL, Python, ETL/ELT pipelines and data modelling, with a 12-month fixed-term contract.
- Compensation
- A$150K–A$180K / yr
- Location
- Sydney NSW
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 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
Nice to have
- 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
Full description
Salary: $150,000- $180,000
- Global company
- Sydney-based role
- Hybrid role About the Role:
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:Essential Requirements:
- 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 mustDesirable Skills:
- 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