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Job

Data Engineer - Data Intelligence

  • Job ref:

    1200882/001_1662547877

  • Location:

    City of London, London

  • Sector:

    ICT

  • Job type:

    Permanent

  • Salary:

    £50000 - £74000 per annum + + excellent bens.

  • Contact:

    Sam Bason

  • Email:

    sbason@cbsbutler.com

  • Published:

    3 months ago

  • Consultant:

    #

Data Engineer - Data Intelligence

  • Data; Data Architecture; Data Science; Data Intelligence; Digital Transformation

  • SQL; Hadoop; Spark; Cloud; Agile; Python; Scala; C; C++; Java

  • London (Victoria), Bristol, Aldershot, Cheltenham, Manchester; other locations available (Hybrid optional)

  • £50,000 - £74,000 + excellent bens.

As a Data Engineer you are passionate about using data to solve real-world problems, and you will have the satisfaction of seeing the direct results of your work.

Data is at the heart of how we solve our client's most complex and critical challenges. For example, we're saving lives and reducing disruption by developing computer vision solutions to pre-emptively identify hazards on the rail network. We're streamlining passenger experiences by developing biometric airport security solutions. And we're saving money by developing predictive tools to ensure digital transformation programmes are delivered on time and budget. We are in a unique position as we have access to vast quantities of data, world leading domain specialists on tap and an extremely diverse range of clients with unique challenges.

The Data Intelligence Practice helps our clients organise, analyse, and visualize their data to create actionable insight from static and real-time sources using industry leading tools and techniques. Our markets are Aerospace, Defence, Security, Government & Infrastructure (Energy, Water, Transport).

Responsibilities:

This is a key role in a rapidly growing part of our business, and you will-

  • Create and maintain optimal data architectures and pipelines.

  • Assemble large, complex data sets that meet functional and non-functional business requirements​.

  • Discover opportunities to acquire new data from other systems.

  • Develop and improve data set processes for data modelling, mining, and production.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.

  • Recommend and implement ways to improve data reliability, efficiency, and quality.

  • Work with Data Scientists to build analytics tools that utilize the data pipeline to provide actionable insights into asset management, operational efficiency, and other key business performance metrics​.

  • Collaborate with stakeholders including the Product owner, data science, and design teams to assist with data-related technical issues and support their data infrastructure needs.

  • Create data tools for analytics and data scientist team members that assist them in building and optimizing the products that help business achieving their goals.

What you can bring?

  • Degree or equivalent in a relevant subject e.g. Computer Science, Information Systems, or related Technical Discipline.

  • Deep knowledge of SQL, Cloud based data pipelines, architectures, and data sets.

  • Experience working with big data tools such as Hadoop, Spark is required.

  • Experience working with large data sets, data pipeline and workflow management tools, Azure cloud services, and stream-processing system.

  • Experience working in an agile environment or organizations with an agile culture.

  • A professional attitude and an ability to think outside of the box to solve complex challenges.

  • Background in programming in Python, Scala, C, C++, or Java would be beneficial.