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Data Engineer

Job LocationLondon
EducationNot Mentioned
Salary£290.00 - £335.00 per day
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeTemporary , full-time

Job Description

Role: Data EngineerExpected duration: 6 months Pay rate: £290 to £335 per day + Holiday pay (PAYE - Inside IR35) Start: Immediate Location: Central London - Hybrid working (3 days in the office and 2 working from home) Our client is a world leading technology business. Their Security Products group is responsible for the protection of customer and corporate data. We are connected to all parts of our clients business and its massive, worldwide service-oriented architecture. they are starting to work on a new mission critical system that will preserve and improve the trusted experience that business provides to its customers. This is a greenfield initiative with plenty of opportunity for innovation in the security space throughnew machine learning techniques. The team are seeking a Data Engineer with a great passion for data, and an insatiable desire to be curious and invent. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creatingreliable, scalable, and high-performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. Basic qualifications

  • Bachelors degree in Computer Science or equivalent
  • 3+ years professional experience in data engineering
  • Python or Java or Scala expertise for data analysis and data modelling
  • Knowledge of scalable computing systems, software architecture, data structures, and algorithms
Preferred qualifications
  • Experience working with cloud and distributed software services and an understanding of design for security, availability, and performance.
  • Sharp analytical abilities and proven design skills.
  • Strong sense of ownership, urgency, and drive.
  • Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
  • Proven results and a history of project delivery

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