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Data Integration Engineer

PIC
London
7 months ago
Applications closed

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The key purpose of the role is to engineer solutions in a product centric team aligned to a business product owner.  The team contributes to the overall success of the organisation by implementing and maintaining robust technical solutions for the business. IT Development have a specific purpose in creating bespoke solutions that add value to give PIC an edge over competitors.

Requirements

Key responsibilities

  • Take a lead role in refining requirements, agreeing on solution designs, estimating effort, managing tasks effectively for integrating between Enterprise Data Management (EDM) System and Asset Valuation System and other models.
  • Implement internal applications and web services in accordance with change management policies.
  • Perform code quality, security, and testing reviews to ensure the high quality and security of computer systems and data.
  • Manage application performance requirements, tech debt, and innovate as part of continual improvement.
  • Monitor and maintain systems in line with the standard incident management process to meet business support requirements.

Knowledge, experience, skills, and abilities (technical competencies)

Technical

  • Proficiency in one or more structured programming languages such as C# and Python.
  • Good experience with version control systems like Git.
  • Deep understanding of data structures, algorithms, and system design and data virtualisation
  • Proficiency with data storage solutions including Cloud, File Storage and SQL databases
  • Experience with testing frameworks and methodologies.
  • Strong design and implementation skills of enterprise applications with cloud-based architecture, APIs, containerization and microservices.
  • Proficiency with CI/CD pipelines and DevOps practices.
  • Experience of cybersecurity principles and practices.

Desirable:

  • Expertise in cloud platforms like Azure, AWS or Google Cloud.
  • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  • Experience of fixed income products (bonds and swaps).

Benefits

  • 28 days’ annual leave plus bank holidays
  • Pension
  • Insurance for Travel, Private Medical, Critical Illness, Life Assurance and Income Protection
  • Save As You Earn (SAYE)

And more

National AI Awards 2025

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