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Software Engineer

Disney Parks and Resorts

Greater London

Hybrid

GBP 55,000 - 75,000

Full time

Today
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Job summary

A leading entertainment company in Greater London is seeking a Software Engineer to join its Identity Engineering team. The successful candidate will develop and deploy machine learning models in a cloud environment, while collaborating with cross-functional teams. Ideal applicants will have a Bachelor's degree in Computer Science and relevant experience in programming languages such as Scala and Python. The role offers a dynamic and inclusive work environment emphasizing Agile methodologies.

Qualifications

  • 3+ years of related work experience.
  • Familiar with machine learning methods and their application.
  • Ability to work in an Agile environment.

Responsibilities

  • Contribute to design, development, testing, and deployment of ML models.
  • Promote and support Agile methodologies in team processes.
  • Collaborate with Product Managers and Designers to understand requirements.

Skills

Scala
Python
SQL
Spark
Hive
Presto
Amazon Web Services (AWS)
Google Cloud Compute (GCP)
Microsoft Azure

Education

Bachelor's degree in Computer Science or equivalent

Tools

Databricks
Apache Airflow
Job description
Job Summary

As a Software Engineer in Identity Engineering, you'll be responsible for writing and reviewing code, contributing to technical and architectural decisions, and collaborating with your squad and partners across Product, Project Management, and Engineering. You'll have the opportunity to influence the roadmap, work within agile and CI/CD practices, and be part of a dynamic, inclusive environment that values collaboration, functional programming, and continuous learning and improvement. Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including D+, Hulu, ESPN+, and Parks. Identity Engineering squads build and run high‑traffic and globally replicated systems which form an integral and visible part of every user’s journey at Disney properties.

What You Will Do
  • Contribute to the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment.
  • Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand‑up, retrospectives, and sprint planning.
  • Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.
Required Qualifications & Skills
  • Familiarity with at least one of the following languages: Scala, or Python; and SQL.
  • Familiarity with at least one of the following: Spark, Hive, or Presto.
  • Familiarity with machine learning (ML) methods and their application at scale.
  • Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure.
  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
  • Minimum of 3 years related work experience.
Desirable Skills
  • Familiarity with the Scala programming language and the Python programming language.
  • Familiarity with Databricks and Apache Airflow products.
  • Familiarity with Amazon Web Services (AWS), Terraform, and infrastructure as code (IaC) best practices.

The Walt Disney Company is an Equal Opportunity Employer. We strive to be a diverse workforce that is representative of our audiences, and where all can thrive and belong. Disney is committed to forming a team that includes and respects a variety of voices, identities, backgrounds, experiences and perspectives.

We will ensure that individuals with disabilities are provided the necessary accommodations to participate in the job application or interview process, to perform essential job functions, and to receive all benefits of employment. Please contact us to request accommodation.

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