Can you lead the team that mines, transforms, enhances and publishes the data which brings over a billion customers to life for the world’s leading brands?

Have you got the drive and aspiration to lead the Data Systems team in the UK’s most exciting data sciences company?  Perhaps you are currently leading a data engineering team, or you are an experienced Data Engineer who is now ready to take your first steps as a leader of technical teams?

Starcount analyses the most insightful data available today: social media data, market data and customer data, informing everything from board level strategic decisions, to individual customer communication. 

As our new Data Systems Lead you will be both ultimate technical authority and lead contributor to the design, development and operation of all current and future data systems.

Why work with us?

You will be…

Desired Skills and Experience

  • You will be the leader of a growing team, working on a wide variety of projects that are central to the continued success of the company.
  • The opportunity to work with industry-leading Data Scientists in industrialising their analytical models so that they can be applied at massive scale and volume.
  • We work with wide-ranging variety of big data sets that pose different challenges and opportunities for manipulation.
  • The opportunity to apply the latest technology trends while creating value for the company and its clients.
  • Our welcoming start-up environment that is low in bureaucracy and high in excitement.
  • 4pm finish each Friday.
  • Someone who has led a technical team at least once, or who has been a Senior Engineer in a technical team and is now ready to lead.
  • Intelligent, with excellent people skills, as well as strong technical skills.
  • A problem-solver who likes the challenge of finding solutions, thinking creatively and laterally to do so.
  • Interested in reaching the goal more so than there being a perfect journey to get there.
  • Up-to-date with technical trends and driven to experiment and learn in your own time.