Big Data Graduate Programme null

Your role

The Big Data Graduate Programme is designed for you to develop your technical skill set, think creatively, and be a real problem solver for major issues your clients are facing today. If you are someone who likes to think outside the box, holds a real passion for data and is open to new ideas, you’ll find a Qmmunity that recognises your need to be a creative innovator and embrace it. At Quantexa everyone is following the same goal of meeting their client’s expectations and delivering a first-class service.

Responsibilities:

• You will work on big data projects where you will have exposure to data science, data engineering and DevOps methods, whilst learning to engage with both internal and external stakeholders
• In a typical Quantexa project, you’ll work with high-volume data, helping top clients solve business problems in financial crime, fraud and money laundering along with playing a huge part in helping others solve complex terrorism cases, human trafficking, and even modern-day slavery
• You’ll be working closely with Data Scientists, Data Engineers, Business Analysts, Technical Leads, Project Managers and Solutions Architects, using entity resolution to generate networks and apply a scoring framework to identify risks

You will learn how to create entities and networks and load data using Elasticsearch in the Quantexa interface. You’ll be required to generate a solution using their explorer in a world-leading big data tool set. This training is heavily self-paced learning giving you the flexibility to add to the task and complete with set timings.

Following completion of the academy, you will be working on multiple projects. You can expect to work with different lead experts who share their love of big data to deliver the best for their clients.

About you

Qualifications:

They are looking for enthusiastic individuals who share a love of ‘big data’ and have numerous degrees ie. Mathematics, Physics, Computer Science, IT/Technology

• Must be a graduate already or expecting to graduate in a STEM subject
• A passion and the desire to learn and code in Scala using multiple big data tool sets
• Hold problem-solving skills and enthusiasm to pick up a broad set of tasks
• Client-facing and Consulting skills such as communication, adaptability, critical thinking etc.
• Experience in Python, Java, Scala, R or similar technologies is desirable
• Passion and drive to grow within one of the UK’s fastest scale-ups

Benefits

What makes you Q will help you to realise your full potential, flourish and enjoy what you do while being recognized and rewarded with their broad range of benefits.

• Competitive salary
• Company bonus 
• 11.5% Superannuation
• 20 days annual leave, plus national holidays + your birthday off!
• Private Healthcare with Medibank, including dental, orthodontics & optics cover
• Regularly bench-marked salary rates 
• Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave 
• Well-being days 
• Volunteer Day off
• Work from Home Equipment
• Novated Leasing
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Continuous Training and Development, including access to Udemy Business 
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
• Employee Referral Program  
• Team Social Budget & Company-wide Socials 

Training, development & rotations

They want their graduates to learn the latest Big Data technologies and being huge fans of functional programming that they are, your first 3 months will consist of going through a dedicated training academy. You’ll have exposure to learning Scala, which is their primary language here at Quantexa, so you are confident and comfortable using their platform. Part of this exciting journey will also have you exposed to other tools such as Spark, Hadoop, Hive, and Kubernetes, with the platform being hosted on Google Cloud (GCP).

To know more about what it's like to work at Quantexa Australia, watch this video:

Sources

The following source was used in researching this page:

• quantexa.com/careers/