Lead Analytics Engineer

Confidential

Mechelen, Vlaams Gewest, Belgium permanent

Posted: February 24, 2026

Quick Summary

We are looking for a Lead Analytics Engineer who combines strong technical capabilities with strategic thinking. The ideal candidate will be able to deliver high-quality solutions using semantic modelling, modern analytics engineering, and forward-thinking analytical approaches. The successful candidate should be able to work collaboratively with a team and contribute to the development of innovative solutions.

Job Description

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.

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