DataBricks Scrum Master

3 days ago


United Kingdom Robert Half Full time €600 - €650

Robert Half is partnering with a Global Consulting Firm to recruit a highly skilled Scrum Master to lead the implementation of a greenfield Databricks and Data Lake solution. This role involves collaboration between the consulting firm and their financial services end-client, focusing on agile delivery excellence and ensuring the successful deployment of innovative data solutions.

Assignment Details

  • Contract Length : Initial 6 Months (with potential for extension)
  • Daily Rate : £600-£650 via an FCSA-accredited umbrella company
  • Location : Hybrid (c.1-2 days on-site in London)

Key Responsibilities

  • Facilitate scrum ceremonies, including sprint planning, stand-ups, reviews, and retrospectives, ensuring effective team collaboration and alignment.
  • Act as a servant leader to delivery squads, fostering a culture of continuous improvement in data engineering and analytics projects .
  • Collaborate with stakeholders to define and manage the product backlog, aligning priorities with the objectives of the Databricks and Data Lake implementation.
  • Mentor and coach technical delivery teams in agile practices, optimising their productivity and ensuring alignment with best practices for data projects.
  • Use agile metrics such as burndown/burnup charts, story points, incremental delivery, and cumulative flow to monitor and enhance sprint performance.
  • Address and remove blockers that may impede progress in delivering the Databricks and Data Lake solution.
  • Liaise with data architects, engineers, and business analysts to ensure alignment between technical and business objectives.
  • Leverage tools such as Jira and Confluence for documentation, tracking progress, and ensuring transparency across teams.

Essential Experience and Skills

  • Demonstrated experience in managing agile delivery for Databricks, Data Lakes, or cloud-based data platforms in a greenfield context.
  • Proficiency in Scrum methodology and agile frameworks.
  • Strong understanding of data engineering concepts and familiarity with tools such as Databricks, Azure Data Factory, and similar platforms.
  • Proven track record in coaching and mentoring teams within data-driven projects.
  • Exceptional stakeholder management skills, with the ability to effectively challenge and influence at all levels.
  • Experience in industries such as financial services, retail, hospitality, or other dynamic and data-intensive sectors is advantageous.
  • Strong analytical and problem-solving skills to address complex technical and delivery challenges.

Additional Information

  • This role requires rigorous financial and criminal background checks.


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