Position Details

Type Full-Time

Experience senior

Exp. Years 7+ years

Education Bachelor's degree in computer science, information technology, or mathematics

Category Data & Analytics

About this role

Data Engineer at Mercer (Marsh & McLennan) focused on building and maturing data ingestion, processing, and delivery capabilities to support analytics and AI tools. The role involves creating scalable data pipelines, integrating APIs, and collaborating with cross-functional teams in a hybrid AU environment.

Key Responsibilities

Implement comprehensive data ingestion and processing capabilities
Build reusable data pipelines and API integrations
Collaborate with source system teams to integrate data pipelines
Improve data models for BI and AI tools
Participate in lifecycle from planning to QA

Technical Overview

Work with Databricks and Snowflake on data ingestion and ETL pipelines; design scalable data models and schemas; leverage Python for development; operate within an Agile data platform lifecycle to ensure data quality and accessibility for BI/AI tools.

Ideal Candidate

The ideal candidate is a senior data engineer with 7+ years of experience building ingest/ETL pipelines in mission-critical data platforms. They should be proficient with modern data platforms (Databricks, Snowflake), strong Python development skills, and comfortable operating in a hybrid AU environment with three days in the office.

Must-Have Skills

7+ years of data ingestion/ETL experienceExperience with Databricks or SnowflakeStrong Python developmentExperience with data ingestionprocessing and deliveryAgile environment

Nice-to-Have Skills

Wealth management / superannuation experienceExperience with AI (classical ML and Generative AI)

Tools & Platforms

DatabricksSnowflake

Required Skills

Data IngestionETLDatabricksSnowflakePythonAPI IntegrationsData PipelinesData ModelingSchema DesignAgileBachelor's degree

Hard Skills

Data IngestionETLDatabricksSnowflakePythonAPI IntegrationsData PipelinesData ModelingSchema DesignAgileSQL

Soft Skills

CommunicationProblem-solvingTeamworkAnalytical ThinkingAdaptabilityProactive Learning

Industry & Role

Industry Consulting

Job Function Design, build, and maintain data ingestion and analytics platforms to enable data-driven decision making for Mercer.

Role Subtype Data Engineer

Tech Domains Python, SQL / PostgreSQL, Tableau, Power BI, Microsoft Azure

Keywords for Your Resume

Data EngineerDatabricksSnowflakePythonETLdata ingestionAPI integrationsdata pipelinesdata modelingschema designAgileBachelor's degreeMelbourneSydneyAustraliaHybridWealth managementsuperannuationAI toolsGenerative AI

Deal Breakers

Less than 7 years of relevant data ingestion/ETL experience, No Databricks or Snowflake experience, Unable to work in Australia or meet the in-office requirement

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