Data Engineer (Sydney)

Sydney, New South Wales, Australia · Data Engineering

Description

This role will be based in our QuantumBlack hub in Sydney Melbourne or Perth and you will work as part of McKinsey & Company, joining a highly collaborative team of exceptionally talented Data Scientists, Data Architects, and Engineers.

QuantumBlack helps companies use data to drive decisions. We combine business experience, expertise in large-scale data analysis and visualization, and advanced software engineering know-how to deliver results. From aerospace to finance to Formula One, we help companies prototype, develop, and deploy bespoke data science and data visualisation solutions to make better decisions.

Who You'll Work With

Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach.

This would be a hybrid client-facing/technical role using cutting edge technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Gathering clear requirements is a key part of this role and will define the technical strategy the team employs on the study.

Our projects cover a wide range of industries and may expose you to problem areas such as: Disease epidemiology, athlete injury prediction or salesforce effectiveness optimisation and many more. In order to gain insight from previously ignored and unconnected data you will need to extract information from vast array of different data sources such as: Data Warehouses, SQL databases, legacy applications, unstructured data, documents, emails, APIs, Kafka endpoints and graph databases.

What You'll Do

Requirements

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