Chapter Lead Data

• Act as a specialist in Data Engineering / Data Warehousing.
• Contribute to technical solutions and help maintain high engineering standards.
• Support and guide developers in improving technical craftsmanship.
• Share knowledge and stay up to date with developments in Data Engineering and related technologies.
• Help shape the technical vision, standards and way of working within the chapter.

Leadership & coaching

• Coach and support chapter members in their personal and professional development.
• Help developers identify opportunities to improve their skills and craftsmanship.
• Support performance, growth and career development.
• Create an environment where people can learn, collaborate and perform at their best.
• Encourage knowledge sharing across the chapter through collaboration, communities and events.
• Work closely with the IT Lead and other Chapter Leads as the Chapter Lead role continues to develop., * Take responsibility for HR-related processes such as recruitment, onboarding and performance cycles.
• Provide clear, constructive feedback to chapter members.
• Build strong relationships with team members and stakeholders.
• Contribute to creating a healthy, inclusive and high-performing culture.

We are looking for a senior technical professional who is ready to take the next step towards leadership.

You bring:

• Strong experience in Data Engineering, Data Warehousing or a closely related technical domain.
• Hands-on experience with a relevant part of the Microsoft BI / Data Engineering stack.
• Experience working in a DevOps and/or Agile environment.
• A genuine interest in coaching, mentoring and developing other professionals.
• The ability to provide constructive feedback and have open, honest conversations.
• Strong communication and stakeholder-management skills.
• A proactive mindset and a focus on continuous improvement.
• The ambition to develop further as a people leader.
• A calm, approachable and thoughtful communication style that works well within a technical team.

Technical expertise

For this specific chapter, experience with several of the following is relevant:

• SQL
• Python
• Microsoft BI stack
• SSAS
• SSRS
• Power BI
• Azure
• Git
• CI/CD
• Data Warehouse concepts
• Kimball methodology

You do not need to be an expert in every technology listed. Strong expertise in the core DWH/Data Engineering domain combined with the ability to learn and guide others is more important.

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