Sia

Senior Data Engineer Consultant

Sia Maastricht, Limburg, Netherlands

Business Consulting and Services · 1,001-5,000 employees

5 d ago
data-engineer Mid (2-5 yrs) Full-time Netherlands
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About the role

Represent the company at professional events and drive business development by crafting proposals and fostering client relationships. Manage client engagements while supervising and mentoring junior to medior consultants to support their professional growth.

What they look for

Data Engineering Databricks Snowflake Azure Analytical thinking Stakeholder management Project delivery Mentoring Business development Communication Problem-solving Data Science Econometrics Applied Mathematics Computer Science Programming

Requirements

Requires a Master's degree in a technical field and 3-6 years of relevant professional experience. Candidates must possess strong analytical skills, fluency in English, and proficiency in either Dutch or French.

Benefits

Competitive salary package Annual salary increase Bonuses Flexible mobility options Tailored training and development Flexible working arrangements International project exposure

Full description

Company Description

Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today’s world of change and disruption, optimism is a force multiplier.

Job Description

  • Represent Sia at professional events, contributing actively to thought leadership initiatives (articles, white papers, webinars). 
  • Drive business development by crafting compelling proposals, identifying new collaboration opportunities, and fostering long-term client relationships. 
  • Manage client engagements, serving as a trusted advisor and subject matter expert to middle and senior-level management. 
  • Supervise and mentor junior to medior consultants, guiding their professional growth, reviewing deliverables, and facilitating the development of technical and interpersonal skills. 

Your profile 

  • Analytical thinker with a structured and proactive approach. 
  • Experienced communicator capable of clearly articulating complex technical ideas to varied audiences. 
  • Effective stakeholder manager, comfortable guiding teams through project delivery. 
  • Demonstrated ability to mentor colleagues and facilitate professional development. 

Qualifications

  • Completed Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming. 
  • The specific stack that you will work with will depend on the client but, as an indication, we commonly work with Databricks, Snowflake and Azure. 
  • 3-6 years of relevant professional experience (or equivalent academic research). 
  • Strong analytical mindset with systematic problem-solving abilities. 
  • You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you’re excited about helping our clients seize the opportunities they offer.
  • A fast learner who demonstrates strong communication skills, adaptability, and entrepreneurial drive. 
  • Fluency in English, with excellent communication and presentation abilities. Dutch or French fluency is a must. 
  • Proven interest in Data Engineering, and relevant sectors such as Energy and Finance. 

What do we offer? 

  • Competitive salary package, including annual salary increase, bonuses, and flexible mobility options. 
  • Tailored training and development opportunities to position you as an expert in your field. 
  • Flexible working arrangements (office, home, client sites) and international project exposure. 
  • Collaborative global environment fostering professional growth and knowledge sharing. 

Additional Information

We are unable to provide a work permit for this position

 

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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