Tech Accelerate Graduate Program - Software Engineer (Sydney) at RELX | AU | Rezi

Tech Accelerate Graduate Program - Software Engineer (Sydney) at RELX

Tech Accelerate Graduate Program - Software Engineer (Sydney)

RELX · AU

1 months ago

Tech Accelerate Graduate Program - Software Engineer (Sydney)

RELX · AU

a month ago
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About the Role

The Risk Solutions Technology Graduate Program is a hybrid 12-month experience with two six-month rotations. Participants gain hands-on experience in big data, AI, SRE, DevOps, and security engineering, with exposure to leading cloud platforms like AWS and Azure. The program focuses on technical and personal development, offering mentorship, performance feedback, and extensive training, emphasizing the use of data for good and contributing to innovative product development.

Responsibilities

  • Write and review portions of detailed specifications for developing system components of simple complexity.
  • Implement successful development processes, coding best practices, and code reviews under senior-level engineers' guidance.
  • Operate in various development environments and collaborate with key stakeholders.
  • Complete simple bug fixes and apply knowledge of test-driven development.
  • Collaborate with stakeholders to gather and analyze requirements for software development projects.
  • Resolve basic technical issues and stay updated on new technology developments.
  • Demonstrate basic knowledge of software development methodologies and data manipulation languages.
  • Understand data modeling principles and applicable development languages.

Requirements

  • Graduation date between February 2026 and February 2027.
  • Completed or will complete a bachelor’s in Computer Science or a related field of study.
  • Excellent communication skills, both written and verbal.
  • Proficiency in development languages such as Java/J2EE, Python, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Linux, and .Net.
  • Familiarity with software development methodologies (e.g., Agile, Waterfall).
  • Knowledge of data manipulation languages and data modeling principles.
  • Ability and desire to learn new processes and technologies.
  • Knowledge of test-driven development.

Skills

  • Big data
  • AI
  • SRE
  • DevOps
  • Security engineering
  • AWS
  • Azure
  • Java/J2EE
  • Python
  • JavaScript
  • JSP
  • C/C++
  • HTML
  • XML
  • SQL
  • Windows
  • Linux
  • .Net
  • Agile
  • Waterfall
  • Data manipulation languages
  • Data modeling principles
  • Test-driven development

Location

  • Hybrid

Work Type

  • Hybrid
  • Full-time

Experience Level

  • Entry-level
  • Graduate

Education Level

  • Bachelor's degree in Computer Science or related field

Benefits

  • Country specific benefits

About the Company

  • LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency.
  • We use the power of data and advanced analytics to help our customers make better, timelier decisions.
  • By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient.
  • LexisNexis Risk Solutions is a trusted data analytics provider, empowering organizations to manage risks, discover opportunities, and drive improved results.
  • Our commitment to excellence and security enables well-informed decisions.
  • Our commitment to excellence is unwavering as we deliver targeted solutions that empower well-informed decisions while upholding the highest standards of security and privacy.

Equal Opportunity

  • Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.