Job description
Data Engineer
Location: London
Length: 6 Months
Rate: £290 - £334 p/d PAYE
Hours: 9am-6pm
This client is a top 5 tech giant with a global retail operation, video streaming platform, and has a big imprint in web services. This is a hybrid role, so you will split your time between home office and the clients offices in central London. On-site you will be able to access their amazing facilities and quirky working spaces.
Job Description:
The Security Products group is responsible for the protection of customer and corporate data. They are connected to all parts of the organisations business and it’s massive, worldwide service-oriented architecture. They are starting the work on a new mission critical system that will preserve and improve the trusted experience that the organisation provides to its customers. This is a greenfield initiative with plenty of opportunity for innovation in the security space through new machine learning techniques. They are seeking a Data Engineer with a great passion for data, and an insatiable desire to be curious and invent. A commitment to team work, 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 y
• 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
• Excellent verbal and written communication skills. This organisation is an equal opportunities employer.