Scrum Master
Posted 1 week ago by Response Informatics
Negotiable
Undetermined
Undetermined
Warwick, England, United Kingdom
Summary: We are seeking a highly motivated Scrum Master with a strong background in Data Engineering to lead Agile practices within data-centric projects. The candidate will facilitate Scrum ceremonies, remove impediments, and ensure adherence to Agile principles while delivering high-quality data solutions. This role requires collaboration with data engineers, analysts, and stakeholders to manage data workflows effectively. The ideal candidate will promote a culture of transparency and accountability within the team.
Key Responsibilities:
- Facilitate Scrum ceremonies: daily stand-ups, sprint planning, reviews, and retrospectives.
- Guide the team in Agile/Scrum best practices and ensure continuous improvement.
- Collaborate with data engineers, analysts, and stakeholders to manage data workflows.
- Identify and resolve bottlenecks in data pipelines and processes.
- Ensure timely delivery of data products and solutions.
- Promote a culture of transparency, accountability, and collaboration.
- Track and report on sprint metrics (velocity, burndown charts, etc.).
- Support backlog grooming and prioritization with Product Owners.
- Coach team members on Agile principles and practices.
- Ensure alignment with CI/CD and data governance standards.
Key Skills:
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- Certified Scrum Master (CSM) or PMI-ACP certification.
- Minimum 8-12 years of experience as a Scrum Master.
- Proven experience in data-focused projects or data engineering environments.
- Strong understanding of Agile methodologies and frameworks.
- Proficiency in tools like Jira, Confluence, Trello, etc.
- Excellent communication, facilitation, and conflict resolution skills.
- Familiarity with data engineering tools and technologies (e.g., SQL, Python, Spark, ETL pipelines).
- Experience working with cross-functional and remote teams.
- Knowledge of data management best practices.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Understanding of software development life cycle (SDLC).
- Strong analytical and problem-solving abilities.
Salary (Rate): undetermined
City: Warwick
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
description: Scrum Master Location: Warwick (2-3 days) (6 Months FTC) Job Summary: We are seeking a highly motivated Scrum Master with a strong background in Data Engineering to lead Agile practices within data-centric projects. The ideal candidate will facilitate Scrum ceremonies, remove impediments, and ensure the team adheres to Agile principles while delivering high-quality data solutions.
Key Responsibilities: Facilitate Scrum ceremonies: daily stand-ups, sprint planning, reviews, and retrospectives. Guide the team in Agile/Scrum best practices and ensure continuous improvement. Collaborate with data engineers, analysts, and stakeholders to manage data workflows. Identify and resolve bottlenecks in data pipelines and processes. Ensure timely delivery of data products and solutions. Promote a culture of transparency, accountability, and collaboration. Track and report on sprint metrics (velocity, burndown charts, etc.). Support backlog grooming and prioritization with Product Owners. Coach team members on Agile principles and practices. Ensure alignment with CI/CD and data governance standards.
Required Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field. Certified Scrum Master (CSM) or PMI-ACP certification. Minimum 8-12 years of experience as a Scrum Master. Proven experience in data-focused projects or data engineering environments. Strong understanding of Agile methodologies and frameworks. Proficiency in tools like Jira, Confluence, Trello, etc. Excellent communication, facilitation, and conflict resolution skills. Familiarity with data engineering tools and technologies (e.g., SQL, Python, Spark, ETL pipelines). Experience working with cross-functional and remote teams. Preferred Skills: Knowledge of data management best practices. Experience with cloud platforms (e.g., AWS, Azure, GCP). Understanding of software development life cycle (SDLC). Strong analytical and problem-solving abilities.