At Datashift, we’re looking for a senior Analytics Engineer. As an Analytics Engineer, you transform raw, messy data into clean, tested, trusted datasets that drive business decisions and create real value. You work at the intersection of software engineering and business understanding to bring structure, clarity, and reliability to how organizations use data, resulting in organizations that makes faster, smarter decisions based on data they can actually rely on.
Do you have 4 to 6 years of experience as a Data or Analytics Engineer, including experience in a cloud environment? Do you possess a passion for approaching projects from an end-to-end data perspective? Then we would be delighted to receive your application!
Your responsibilities
You'll help ambitious organizations across the Benelux transform their data challenges into competitive advantages. Our clients range from mid-market enterprises to large organizations that are modernizing their data infrastructure and analytics capabilities.
Your daily work as a senior Analytics Engineer includes:
Data Modeling — Designing data models that reflect how the business side actually works
Stakeholder Collaboration — Working with data analysts, BI teams, and business leaders to understand the meaning and potential business value of their data, and how to structure and organize it accordingly
dbt — Writing and testing dbt models that transform raw data into trusted data assets
Data Testing & Quality — Building automated tests to immediately discover anomalies and interrupted data flows
Documentation & Governance — Creating semantic layers and metric definitions so analysts, BI developers and AI applications can reliably access governed data
Knowledge Sharing — Teaching colleagues about data modeling patterns, best practices, and helping them level up their craft
