Data Model Architect for Enterprise Platform — Hybrid Amsterdam

Oakwell Hampton Group; Amsterdam; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Hybrid working from Amsterdam office

Ownership over data modelling

Job summary

Oakwell Hampton Group in Amsterdam is seeking a Data Analyst who will own how new data is structured and modelled for a growing data platform. This role goes beyond dashboards, focusing on the data modelling decisions behind the product.

You will work with sources like POS, reservations, accounting, and reviews, translate client requirements into scalable solutions, and collaborate with enterprise data teams from requirements to implementation.

Qualifications

• 3+ years of commercial SQL experience as a Data Analyst or similar.
• Strong data modelling experience, including dimensional modelling and scalable structures.
• At least 1 year of experience with Git and version-controlled development.
• Experience working directly with clients or external stakeholders.
• Working knowledge of BI tools, ideally Power BI.
• Experience with cloud data technologies such as Azure and/or Databricks.
• Professional fluency in Dutch.
• Bachelor's or Master's degree.

Responsibilities

• Take ownership of how new data sources fit into the existing model.
• Decide grain of datasets and when to extend or introduce new tables.
• Collaborate with client data teams to translate requirements into scalable solutions.
• Work end-to-end on data modelling projects for the platform.
• Interface with cross-functional teams to ensure data quality.

Skills

SQL

Data modelling

Client interaction

Dutch fluency

Education

Bachelor's or Master's degree

Tools

Power BI

Azure

Databricks

Job description

Oakwell Hampton Group in Amsterdam is seeking a Data Analyst who will own how new data is structured and modelled for a growing data platform. This role goes beyond dashboards, focusing on the data modelling decisions behind the product.

You will work with sources like POS, reservations, accounting, and reviews, translate client requirements into scalable solutions, and collaborate with enterprise data teams from requirements to implementation.