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Lead Analytics Engineer H/F/X

Référence 5822657 | Créé le 20 avril 2026

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  • Temps de travail : Temps plein
  • Type de contrat : Durée indéterminée
  • Famille de métiers : Informatique / Services informatiques

Description de l'entreprise

Joining Datashift means being part of a team of entrepreneurial individuals who are passionate about data and who have the know-how to deliver great results for our clients. We invest in training and development. We are curious and always learning. We stay on top of developments in the world of data technology and analytics. We love what we do.

Description de la fonction

At Datashift, we foster a nononsense culture built on authenticity, quality and entrepreneurship. We are a team of driven consultants who want to make real impact with data - while keeping things fun and human along the way. 
We are looking for a Lead Analytics Engineer who combines strong technical capabilities with strategic thinking. Someone who gets energy from semantic modelling, modern analytics engineering, and building forwardlooking analytical solutions. You bring handson expertise, ownership and curiosity, and you help strengthen our evolving GenBI vision.?
Why this role matters ?
This role plays a key part in building out GenBI within Datashift - our approach to enabling smarter analytics through semantic layers, natural language interfaces and intelligent analytical systems. 
You will take ownership of challenging projects, develop semantic layers from the ground up, and help mature our methods, standards and best practices. 
 
 

Your responsibilities 

  • Lead complex analytics engineering & GenBI projects :
    • Build semantic models: businessoriented conceptual layers that enable natural language queries and intelligent analytics. 
    • Translate business requirements into clear technical architectures, data models and pipelines. 
    • Determine the right type of delivery approach: POC, pilot, or roadmap implementation.
  • Provide strong technical direction :
    • Drive POC initiatives and evolve them into robust, scalable solutions.
    • Make informed technical decisions, safeguard quality and define direction.
    • Balance strategic thinking with handson engineering when needed.
  • Support and inspire the team :
    • Coach colleagues on modelling, engineering best practices and pragmatic delivery.
    • Explore new technologies and translate potential into tangible value. 
 

Job requirements

 
What we are looking for :
  • At least 5 years of experience in data & analytics, ideally with consulting experience
  • Interest in GenAI concepts and conversational analytics
  • Strong expertise in semantic modelling
  • Solid understanding of modern analytics engineering, including:  SQL (expert), Python (a plus)
  • Dbt or similar modelling frameworks
  • Ability to take technical leadership while remaining handson
  • Strong communication skills for both business and technical stakeholders
  • Fluency in Dutch and English. 
 

What we offer 

  • A highly entrepreneurial team where initiative truly matters. 
  • A nononsense working environment focused on high quality and real impact. 
  • Excellent terms of employment, including: 
    • company car & fuel card
    • meal vouchers
    • bonus scheme
    • laptop & smartphone
  • Attractive fringe benefits, including continuous training to develop your professional, technical and leadership skills.
  • Opportunities to grow alongside Datashift, both in capabilities and financial rewards.
  • Work from several locations - Mechelen, Leuven or Ghent - combined with flexible homeoffice options. 
Ready to make an impact? 
Are you the Lead Analytics Engineer who wants to help shape the future of GenBI? 
Let's talk.

Compétences linguistiques

  • Anglais (atout)

    • Comprendre : Expérimenté - (C1)
    • Écrire : Expérimenté - (C1)
    • Lire : Expérimenté - (C1)
    • Parler : Expérimenté - (C1)
  • Néérlandais (atout)

    • Comprendre : Expérimenté - (C1)
    • Écrire : Expérimenté - (C1)
    • Lire : Expérimenté - (C1)
    • Parler : Expérimenté - (C1)

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Comment postuler ?

Nom de l'employeur
DATA SHIFT
Personne de contact
HR Department Datashift
Mode de présentation
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Website
Site de l’employeur