Lead Analytics Engineer

Datashift; Antwerpen; Hybride; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Company car

Fuel card

Meal vouchers

Bonus scheme

Laptop

Smartphone

Training

Career growth

Home office flexibility

Résumé du poste

Datashift is seeking a Lead Analytics Engineer to own semantic modelling and modern analytics engineering, building forward-looking analytical solutions within GenBI.

You will drive semantic layers from ground up, guide architecture decisions, and mentor teammates while exploring new technologies to deliver tangible value.

Qualifications

• At least 5 years in data & analytics, ideally with consulting experience.
• Strong interest in GenAI concepts and conversational analytics.
• Fluency in Dutch and English.

Responsabilités

• Lead complex analytics engineering & GenBI projects and translate requirements into architectures and data pipelines.
• Provide strong technical direction, drive POC initiatives, and ensure quality and scalable solutions.
• Coach colleagues on modelling and engineering best practices and explore new technologies.

Connaissances

Semantic Modelling

Analytics Engineering

SQL

Python

Dbt

Leadership

Communication

Dutch

English

Consulting Experience

Outils

Dbt

Description du poste

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.

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.