Analytics Engineer

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, * Your work matters - You’ll solve real complex data problems for real organizations, with real impact as end goal
• A highly entrepreneurial team
• A no-nonsense working environment with a focus on high quality, where you’ll find both the challenge to develop your skills and take on new responsibilities as the guidance to help you on that path where needed
• Excellent terms of employment (including company car, fuel card, meal vouchers & bonusses);
• Fringe benefits including continuous training that builds and extends professional, technical and management skills in all areas;
• The opportunity to grow together with Datashift in terms of capabilities as well as financial benefits.

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!, * Analytical and solution-oriented - You break complex problems down into manageable pieces and find elegant solutions, noticing and resolving inconsistencies in the process

• Collaborative - You work well with data analysts, BI developers, business teams, and fellow engineers. You’re a translator between technical and business perspectives - explaining technical concepts to non-technical stakeholders and translating business needs into technical solutions
• Comfortable with ambiguity - Client projects aren’t always clear-cut defined. You thrive in environments where you’re not just nodding along and solving given problems, but where you dig deeper on the “why” behind a client’s question and define a solution that answers that business need
• Humble and curious - You know data is never “done.” You continue to stay up to date on industry trends and implement impactful improvements where possible
• Language: Fluent in English and Dutch

Your core skills

• SQL - You write complex queries, understand window functions, CTEs, and can optimize for performance
• Data Modeling - You can translate business requirements into well-designed data models that scale and evolve with organizational needs. You’re familiar with approaches like dimensional modeling, Data Vault, Kimball methodology, or similar techniques
• dbt Expertise - You understand data architecture patterns and layering concepts. You can design dbt project structures, write effective tests, document models, and work comfortably with Jinja and YAML
• Data Quality Mindset - You think about testing and validation from day one. You care that “revenue” means the same thing everywhere
• Version Control & Collaboration - Git is your friend. You understand code review, branching strategies, and how to work in teams on data projects
• Python Fundamentals - You don’t need to be a Python developer, but you should be comfortable working in a Python environment

Nice-to-haves

• Cloud Data Warehouse Experience - You’ve worked with Snowflake, BigQuery, Databricks, Microsoft Fabric, or similar. You understand how modern cloud warehouses relate to performance and costs
• Semantic Layer / Metrics Layer - You understand what a semantic layer is and how it’s used to enable governed, self-service analytics
• BI Tool Integration - You’ve worked with Power BI, Tableau, or similar tools. You understand how data models power dashboards that deliver insights and drive business value