Data Engineer

As a Data Engineer, you bring deep expertise in modern cloud-based data engineering, combined with a solid working knowledge of AI and machine learning systems. You play a critical role in transforming raw data into reliable, scalable and high-quality data products that support analytics, reporting and AI-driven use cases worldwide. SUMMARY OF THE ROLE As Data Engineer, you are responsible for designing, building and maintaining robust data pipelines and platforms. You ensure the efficient processing, storage and availability of large-scale datasets, while safeguarding data quality, security and performance. You are not only a technical expert, but also a valued partner for the business, translating technical possibilities into practical solutions and continuously exploring innovative ways to improve our data landscape. WHAT YOU’LL BE DOING

• Design, develop and maintain scalable, cloud-based data pipelines supporting analytics, reporting, IoT data and AI use cases.
• Work on data modeling using Data Vault principles to ensure flexibility, scalability and auditability of enterprise data models.
• Ensure the efficient processing and storage of large datasets, optimizing performance, reliability and costs.
• Collaborate closely with Data Analysts, business stakeholders and Cloud & Security teams to deliver end-to-end data solutions.
• Monitor, troubleshoot and improve data pipelines to ensure high data quality and availability.
• Provide on-call support and monitoring for critical data pipelines.
• Design, deploy and maintain machine learning pipelines and APIs.
• Support AI/ML models in production, diagnosing data issues, environment mismatches and inference failures.
• Continuously explore new technologies and innovative solutions to improve efficiency, scalability and robustness of the data platform.
• Share knowledge and promote data engineering best practices across the organization.

• A bachelor’s or master’s degree in a relevant field (e.g. Computer science, Data science or Engineering).
• 0-5 years of experience in data engineering, with a strong focus on cloud-based environments.
• Deep expertise in modern cloud-based data engineering, combined with a solid working knowledge of AI/ML systems.
• Strong knowledge of data modeling, including experience with Data Vault principles, data warehousing and ETL/ELT processes.
• Proficiency in Python, SQL and PySpark.
• Hands-on experience with cloud data platforms such as Azure Synapse, Databricks or Snowflake.
• Experience with data orchestration and CI/CD pipelines (e.g. Git, Azure DevOps).
• Knowledge of Infrastructure-as-Code (e.g. Terraform, Bicep) is a plus.
• Microsoft certifications such as DP-203, AI-900 or equivalent are preferred.
• Ability to plan work effectively, meet deadlines and collaborate within a team.
• Ability to act as a trusted business partner, translating technical capabilities into business value.
• Strong analytical, problem-solving and communication skills.

• Awareness of data ethics, security and responsible data usage.

• We recognize that no candidate matches every requirement perfectly. If you recognize yourself in this role and are excited to grow and learn, we strongly encourage you to apply.

• A challenging role in a global organization undergoing major IT and data transformation.
• The opportunity to work on a modern cloud-based data platform and cutting-edge AI initiatives.
• A collaborative and international team of data and IT professionals, working from Schiedam and Dubai.
• Plenty of room for professional growth and development.
• A competitive salary and attractive benefits package.

At Mammoet, world leader in heavy lifting and transport solutions, data is a key driver for innovation and decision-making. With the rollout of a new IT landscape in full swing, we are building a modern, centralized data platform that integrates and connects all data initiatives across the organization.