Data Engineer — Build Scalable Data Pipelines & Insights

Quantexa; Melbourne (FL); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Company bonus

12% Superannuation

20 days annual leave, plus nationalhol

Private Healthcare with Medibank

Regularly benchmarked salary rates

Enhanced Maternity, Paternity, Adopto​

Well‑being days

Volunteer Day off

Work from Home Equipment

Novated Leasing

Free Calm App Subscription #1 app for…

Continuous Training and Development,…

Work from Anywhere policy

Employee Referral Program

Team Social Budget & Company‑wide Sal

Job summary

Quantexa Delivery team is focused on contextualizing data. As a data engineer, you’ll bring together data, implementing Quantexa’s technology for domains like banking, insurance, government, and healthcare.

You’ll build end-to-end data pipelines using our software to detect insights and support client decisions. You’ll solve big data problems, transforming and cleansing high-volume data, helping clients tackle fraud, financial crime, data management, risk and customer intelligence.

Qualifications

• You’ll have a background in hands‑on technical development, with at least 18 months’ of industry experience in a data engineering role or equivalent, and preferably some software industry experience.
• Proficiency in Scala, java, python, or a programming language associated with data engineering. Our primary language is Scala, but don’t worry if that’s not currently your strongest language. We believe that strong engineering principles are universal and transferable.
• As an expert in building and deploying production level data processing batch systems, you’ll share an appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker and a little bit of good old Bash scripting). You’ll be familiar with developing within a version‑controlled process that regularly makes use of these tools and technologies.
• A strong technical communication ability with demonstrable experience of working in rapidly changing client environments.
• Knowledge of testing libraries of common programming languages (such as ScalaTest or equivalent). Importantly, you’ll know the difference between varying test types (unit test, integration test) and can cite specific examples of what they have written themselves.

Responsibilities

• Writing defensive, fault tolerant and efficient code for production level data processing systems.
• Configuring and deploying Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
• You’ll be a trusted source of knowledge for your clients. And you’ll articulate technical concepts to a non-technical audience so they can make key decisions.
• Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed.

Skills

Scala

Java

Python

Data engineering

Education

Bachelor's degree in Computer Science or related

Tools

Spark

Hadoop

Elasticsearch

Git

Gradle

Nexus

Jenkins

Docker

Job description

Quantexa Delivery team is focused on contextualizing data. As a data engineer, you’ll bring together data, implementing Quantexa’s technology for domains like banking, insurance, government, and healthcare.

You’ll build end-to-end data pipelines using our software to detect insights and support client decisions. You’ll solve big data problems, transforming and cleansing high-volume data, helping clients tackle fraud, financial crime, data management, risk and customer intelligence.