Data Engineer (Senior 4-7 Years)Duration: 01-Mar-2026 - 31-Dec-2026Target Rate: 50 EUR (Hourly)Hours Per Day: 8.00Hours Per Week: 40.00City: Amsterdam, NL (Hybrid)DescriptionArea within Group Digital: Data & AnalyticsBackground:The Marketing Activation area (Performance, Strategy, Acquisition, Organic Search, and CRM) is undergoing a major digital transformation. Our goal is to build a unified Marketing Data Foundation that will serve as the single source of truth for the entire area. This is occurring alongside an Adobe Experience Platform (AEP) implementation and a structural shift toward Data Mesh principles.We face a bridgeable gap between our current technical debt and our future-state ambitions. We need a senior-level consultant to act as a "right hand" to leadership—someone who can navigate the complexities of a changing organization, build production-grade pipelines, and elevate the technical maturity of our Data & ML (D&ML) team.The scope of the consultant services is to assist Client in:Building the Marketing Data Foundation: Collaborating with Software Engineering, Architects, and Product owners to design and implement a robust, scalable "source of truth" for marketing data.Pipeline Engineering (CRM): Performing hands-on development of data pipelines, specifically within the CRM domain, to automate workflows and reduce the burden on data analysts.Advanced dbt & Semantic Layer: Scaling our dbt setup, focusing on project organization, governance, and the implementation of a dbt Semantic Layer to prepare for ML and Agentic AI.Team Education & Mentorship: Upskilling the D&ML team on "how we should work," including Git best practices, code reviews, and engineering excellence.Data Productization: Defining and registering work as "Data Products" in accordance with Data Mesh principles and architecture standards.RequirementsDesired knowledge, experience, competence, skills etc:GCP & BigQuery Expert: Deep technical proficiency in Google Cloud Platform and BigQuery optimization for large-scale datasets.Hands-on Engineering: Proven experience building and maintaining automated ETL/ELT pipelines.Git Mastery: Experience with version control, branching strategies, and CI/CD.Expert-level dbt: Professional experience in modeling, particularly with dbt projects at scale.Mentorship Skills: The ability to coach junior/mid-level engineers and influence "ways of working" through documentation and pair programming.Data Mesh & Architecture: A strong understanding of Data Mesh and how to navigate the "Technical Lead" role.Stakeholder Management: Experience working across departments (Software Engineering, Architects, Product) to align on a shared data vision.AI/ML/Agentic Readiness: Experience structuring data for ML, LLMs and automated agents.AEP Awareness: Familiarity with Adobe Experience Platform to assist in the transition phase.What 3 things from the box above are most important?Technical Execution & dbt Expertise (GCP/BigQuery/dbt): A hands-on engineer who can build production-grade CRM pipelines and resolve technical debt. Must possess expert-level dbt skills to implement a sophisticated Semantic Layer and ensure the data architecture is ML and Agentic-ready.Mentorship & Upskilling: The ability to actively educate and lead the Data & ML (D&ML) team on "what good looks like." This includes establishing and teaching high standards for Git flow, code reviews, and general engineering rigor.Data Product & Foundation Mindset: A consultant who can move the team toward a Data Mesh state by structuring work as reusable, well-documented data products. They will be a key player in co-creating the Marketing Data Foundation (Source of Truth) alongside architects and software engineering.