Job Title:Data Engineer
Employer:ABL Recruitment
Location: London, United Kingdom
Salary:
Employment Type: Permanent
Reference Number: 2b8a0be0-b9b2-48d7-8ed7-aed870f94f55
Job Details:
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 client’s business and it’s 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 through new 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. Creating reliable, 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
- Bachelor’s 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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