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Senior Data Engineer, Financial Crime Technology

eFinancialCareers
Job LocationEdinburgh
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Join us as a Senior Data Engineer, Financial Crime Technology

  • This is an opportunity for a technically minded individual to join us as a Senior Data Engineer within Financial Crime Technology
  • Youll be working with new and innovative technology to deliver high impact solutions
  • Hone your existing data engineering skills and advance your career in this critical role
What youll doYoull apply widely agreed data software engineering principles and methodologies to design, develop, test and maintain applications and services to achieve the stated business and technology goals within required budgets and timelines. Well also look to youto oversee the quality of work, making sure that it meets the technical standards for all services output. Youll also:
  • Design and develop new reusable services and APIs for use across the bank
  • Design and develop data components that are amenable for a greater automation of build, release testing and deployment process on all environments
  • Drive the reuse and sharing of platform components and technologies within the software engineering teams
  • Deliver data components to enable the delivery of platforms, applications and services
  • Write unit and integration tests, in automated test environments to ensure code quality
The skills youll needYoull need a strong background in data engineering, software design or database design and architecture, as well as extensive experience of developing in a micro-services architecture. You should also have development experience in a programming language,experience of using industry recognised frameworks and development tooling, and a background of implementing programming best practice, especially around scalability, availability and performance. Youll also need:
  • Proven track record of solving business and technical problems using data in micro-service architecture
  • Extensive experience of test-driven development alongside the use of automated test frameworks, mocking and stubbing and unit testing tools
  • Knowledge of the key phases of software delivery lifecycle and established software development methodologies
  • Experience of working in an environment where products must be delivered to specific timescales
  • An understanding of data engineering tools including Hadoop, streamSets, MongoDB, postGresDB, REST and python
  • The ability to understand and support, modify and maintain systems and code developed by other engineering teams

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