Analytics Engineer

RichemontAmsterdamOn-siteFull-time1 Oct 2026

Richemont Europe is seeking an Analytics Engineer to join the Business Performance team in Amsterdam. The role involves designing, building, and maintaining scalable data models and pipelines, ensuring data integrity and performance, and enabling data-driven decision-making across Functions and Maisons. Requires strong SQL, Python, and data warehousing experience, with dbt and BigQuery highly desirable.

What you'll do

Design, develop, and maintain advanced data models that support various analytical needs across Functions & Maisons Europe.
Build, optimize, and manage data transformation pipelines using SQL, Python, and other relevant tools to extract, load, and transform data from various source systems into the data warehouse/lake.
Implement data quality checks, validation rules, and monitoring processes to ensure the accuracy, consistency, and reliability of data assets.
Optimize data models and queries for performance and scalability, ensuring efficient data retrieval for reporting and analytical applications.
Work closely with Data Scientists, Business Analysts, and Data Engineers to understand data requirements, translate business logic into technical specifications, and deliver high-quality data solutions.
Create and manage access rules for our advanced data models efficiently.
Create and maintain comprehensive documentation for data models, pipelines, and data dictionaries.
Utilize and contribute to the development of modern data stack tools (e.g., dbt, BigQuery).
Identify and resolve data-related issues, ensuring data availability and accuracy.
Develop, maintain and deploy dashboards answering identified business needs.
Perform in depth analyses to address specific business needs by providing actionable insights.
Train, accompany and support business users in using efficiently our analytics tools.
Actively support in the preparation of the budget, strategic plans, business reviews, business development exploration & operational forecasts.
Be a key contributor in data related business projects to identify efficiencies, opportunities and eventual risks (ex. Commission scheme).
Collaborate with senior engineers and data scientists to design and implement AI Agents, by applying machine learning techniques, including Large Language Models (LLMs).
Drive for the regional forecasting process supporting the regional exco in the Budget preparation and the local logistics operations team in the capacity planning.

What you need

Must-have

SQLPythonGoogle BigQueryData WarehousingData ModelingKimball methodologyGitGCP

Nice-to-have

dbt

Soft skills

AnalyticalProblem-solvingAttention to detailCommunicationCollaboration

Analytics EngineerData EngineeringRetail Luxury Goods and JewelrySQLPythondbtBigQueryAIMachine LearningOn-site

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Must-have

Nice-to-have

Soft skills

What you'll do

What you need