Data Infrastructure Analyst
Amsterdam, Netherlands | Competitive salary and benefits
This is a strong opportunity for a Data Infrastructure Analyst to work at the intersection of data engineering and analytics within a modern, data-driven organisation. You will play a key role in shaping how data is captured, structured, and made accessible, enabling high-quality insights and scalable analytics across the business.
They are a data-led organisation operating within a digital environment where robust data infrastructure is critical to success. The business invests heavily in its data platform and tooling, creating an environment where data teams are empowered to drive best practice and innovation. You will join a collaborative setup where analytics, engineering, and product teams work closely to deliver impact at scale.
Support the development and optimisation of data infrastructure to ensure reliable and scalable data pipelines
Work closely with analytics and product teams to define data requirements and improve data availability
Contribute to data modelling, tracking design, and event instrumentation
Improve data quality, validation processes, and governance standards
Enable efficient querying and data access for analysts and stakeholders
Collaborate with engineering teams to optimise performance across data platforms
Design, develop, and maintain infrastructure as code (IaC) solutions using Bicep and Terraform to automate the provisioning and management of Azure resources.
Implement and manage CI/CD pipelines in Azure DevOps, ensuring efficient and secure deployment processes for data and infrastructure projects.
Help establish best practices in data documentation, monitoring, and lifecycle management
Strong commercial experience working with data infrastructure, data engineering, or analytics engineering
Experience with cloud data platforms such as Azure, BigQuery, or Databricks
Understanding of data tracking, event-based data structures, and data quality frameworks
Strong problem-solving skills and a proactive approach to improving data systems
Opportunity to shape a modern data platform in a data-driven environment
Exposure to cross-functional teams and impactful projects
Career progression within data engineering and analytics
Access to modern tools and technologies
If you are a Data Infrastructure Analyst looking to strengthen data foundations and drive scalable analytics, apply now to learn more.
or continue with email
Amsterdam, Netherlands | Competitive salary and benefits
This is a strong opportunity for a Data Infrastructure Analyst to work at the intersection of data engineering and analytics within a modern, data-driven organisation. You will play a key role in shaping how data is captured, structured, and made accessible, enabling high-quality insights and scalable analytics across the business.
They are a data-led organisation operating within a digital environment where robust data infrastructure is critical to success. The business invests heavily in its data platform and tooling, creating an environment where data teams are empowered to drive best practice and innovation. You will join a collaborative setup where analytics, engineering, and product teams work closely to deliver impact at scale.
Support the development and optimisation of data infrastructure to ensure reliable and scalable data pipelines
Work closely with analytics and product teams to define data requirements and improve data availability
Contribute to data modelling, tracking design, and event instrumentation
Improve data quality, validation processes, and governance standards
Enable efficient querying and data access for analysts and stakeholders
Collaborate with engineering teams to optimise performance across data platforms
Design, develop, and maintain infrastructure as code (IaC) solutions using Bicep and Terraform to automate the provisioning and management of Azure resources.
Implement and manage CI/CD pipelines in Azure DevOps, ensuring efficient and secure deployment processes for data and infrastructure projects.
Help establish best practices in data documentation, monitoring, and lifecycle management
Strong commercial experience working with data infrastructure, data engineering, or analytics engineering
Experience with cloud data platforms such as Azure, BigQuery, or Databricks
Understanding of data tracking, event-based data structures, and data quality frameworks
Strong problem-solving skills and a proactive approach to improving data systems
Opportunity to shape a modern data platform in a data-driven environment
Exposure to cross-functional teams and impactful projects
Career progression within data engineering and analytics
Access to modern tools and technologies
If you are a Data Infrastructure Analyst looking to strengthen data foundations and drive scalable analytics, apply now to learn more.
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