Cloud Data Engineer for AI & Analytics Platform

Mammoet; Schiedam; On-site; EUR 37,000 - 67,000; Full time

Benefits offered by this job

Global IT transformation

Cloud data platform & AI initiatives

International team (Schiedam & Dubai)

Growth opportunities

Competitive salary & benefits

Job summary

Mammoet is seeking a Data Engineer to design, build and maintain scalable, cloud-based data pipelines in Schiedam. You will shape data platforms that support analytics, reporting and AI-driven use cases across the organization.

You’ll work on Data Vault models, ensure data quality and collaborate with multiple teams. With 0–5 years of experience, you’ll contribute to a modern data landscape while growing technically and professionally.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science or Engineering.
• 0–5 years of experience in data engineering with cloud focus.
• Deep expertise in modern cloud data engineering and AI/ML basics.
• Strong data modeling, Data Vault, and ETL/ELT knowledge.
• Proficiency in Python, SQL and PySpark.
• Experience with Azure Synapse, Databricks or Snowflake.
• Experience with CI/CD pipelines (Git, Azure DevOps).
• IaC knowledge (Terraform/Bicep) is a plus.
• Microsoft DP-203/AI-900 or equivalent preferred.

Responsibilities

• Design, build and maintain scalable cloud-based data pipelines for analytics, IoT, and AI use cases.
• Apply Data Vault principles for flexible, auditable enterprise data models.
• Ensure efficient processing and storage of large datasets with performance and cost optimization.
• Collaborate with Analysts, stakeholders and Cloud & Security teams on end-to-end data solutions.
• Monitor and improve data pipelines for quality and availability.
• Provide on-call support for critical data pipelines.
• Design, deploy and maintain ML pipelines and APIs; support AI/ML models in production.
• Explore new technologies to improve data platform robustness and scalability.
• Share knowledge and promote data engineering best practices.

Skills

Cloud-based data engineering

Data modeling

Data Vault

AI/ML concepts

Analytical skills

Problem-solving

Communication

Team collaboration

Business partnership

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

Python

SQL

PySpark

Azure Synapse

Databricks

Snowflake

Git

Azure DevOps

Terraform

Bicep

Job description

Mammoet is seeking a Data Engineer to design, build and maintain scalable, cloud-based data pipelines in Schiedam. You will shape data platforms that support analytics, reporting and AI-driven use cases across the organization.

You’ll work on Data Vault models, ensure data quality and collaborate with multiple teams. With 0–5 years of experience, you’ll contribute to a modern data landscape while growing technically and professionally.