• Location: England, London
  • Salary: £60000 - £75000 per annum
  • Technology: Google Cloud Jobs
  • Job Type: Permanent
  • Date Posted: 18th Jun, 2021
  • Reference: 2805lo


Data Engineer

My client helps leaders in business make improved decisions. Trusted by some of the world's biggest brands, our advanced software solutions automate tactical tasks and enhance strategic decisions.

We are looking for a forward thinking and highly competent Data Engineer to join our London team. As a Data Engineer you will be working on our data pipeline architecture, with the aim of providing clean, usable data to our Business Analysts and Data Scientists. You will be responsible for helping to build modular pipeline components and ensure technical documentation is created and maintained.



Key Responsibilities
  • Helping design, build, maintain and operate the data pipeline.
  • Collaborate with our data scientists and business analysts to discover where business value can be found within the data we have available.
  • Maintaining existing systems and supporting migration to our new data pipeline architecture. Training our Client Analytics and Implementation teams in how to implement and support our clients.




Who you are
  • We want you to come with creativity, expertise, flexibility and drive, but above all a desire to learn and keep learning.
  • We want you to want to understand the big picture and how your work makes a difference




Experience and Skills
  • 3+ years of proven experience using Python to build data pipelines, including familiarity with python's core big data / data science libraries.
  • Understanding of database design and SQL.
  • Experience working in cross functional agile teams, particularly teams including Data Scientists, Software Engineers and Business Analysts.
  • The ability to communicate complicated technical solutions to non-technical users.
  • Take ownership of feature development and ongoing maintenance.
  • Technical understanding of infrastructure components, their dependencies, and interactions between servers, virtual systems, networks, databases, web applications, etc.
  • Distributed data processing, for example Spark.
  • NoSQL Databases, such as MongoDB or Couchbase.
  • Cloud computing platforms, such as Google Cloud Platform or AWS.




Perks and Benefits
  • A competitive salary and benefits commensurate with experience.
  • Company days out and events (virtual for now).
  • Company pizza Friday innovation sharing sessions (virtual until we can get back in the office).
  • Gym membership.
  • Cycle scheme.