Head of Data Engineering
SportsDirect.com
Shirebrook, England, GB
5d ago

Company Description

Frasers Group are currently looking for a Head of Data Engineering to manage the effective running of the Business Intelligence and Data Engineering teams and the 3rd parties that support us in that delivery.

As a PLC with a £4bl turn over, the opportunity to grow your career in a fast paced and dynamic environment is one for the bold.

Job Description

  • Manage the team members that make up Business Intelligence and Data Engineering (with the support of team leaders in each area)
  • Develop the team, manage their performance
  • Recruit team members as needed
  • Drive the data strategy, defining the governance model and roles needed across the business to support our data maturity.
  • As part of the infrastructure management team, work closely with other IT leaders to ensure a fully joined up service is provided
  • Act as a product owner for the team, providing guidance on the priority of work, and escalated decisions to senior stakeholders as needed
  • Empower and support the team in the removal of impediments
  • Manage KPIs as defined to support the strategy
  • Work with allocated Delivery Managers to enhance ways of working to ensure a consistent and well organise flow of work
  • Own the relationship with 3rd parties the team are working withSnowflakeFiveTranQLIKAirTableMicrosoft
  • Required skills

  • Previous experience of managing a team of 8+ technical people
  • Strong technical understanding of Data Management, including Data Lakes, Marts, EDW’s, governance and strategy
  • Strong stakeholder management, with the ability to communicate work to non-technical stakeholders · Ability to act as a Data Architect or Data Engineer as required
  • Agile ways of working
  • Desirable Skills

  • Understanding of Azure Cloud and associated Data Technologies
  • Previous experience with Snowflake
  • Working knowledge of Change Data Capture technologies such as QLIK Replicate or Oracle GoldenGate
  • History of working with large scale PowerBI Deployments
  • Understanding of SSIS, SSAS, SSRS
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