AI & Data Engineer [Interim]

Rotterdam - Netherlands

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

Job description

Job Title: AI & Data Engineer Interim
Location: (Hybrid) Rotterdam
Engagement: Full-time 5 days a week

Contract duration: 3-6 months (possibe extension)

Start date: ASAP

Context

A large international company in the marine engineering / offshore construction sector is scaling production-grade AI across the organization. The Data & AI Platform team is expanding delivery capacity and is looking for an interim Data & AI Engineer who can step in immediately take ownership of AI use cases end-to-end and accelerate adoption across business teams on an Azure Databricks foundation.

This is a hands-on delivery role with high autonomy: you will build ship operate and improve AI solutions in productionwhile introducing reusable components and pragmatic best practices that raise the bar across the platform.

What youll do

Deliver AI use cases end-to-end: from ingestion and feature engineering to model/agent development and production rollout.
Design and operate Databricks lakehouse pipelines (batch and streaming) using Spark/SQL/Delta Lake including monitoring and data quality controls.
Build AI solutions on the platform including:
- RAG patterns (retrieval chunking embeddings evaluation)
- tool-using agents and orchestration approaches
- prompt strategies and testing/guardrails
- (where relevant) custom ML models and supporting pipelines
Productionize and run what you build: reliability observability cost control and operational hygiene.
Enable other teams by creating reusable components templates and delivery standards.
Work with governance and compliance: align with AI governance requirements and ensure solutions are secure and auditable.
Collaborate with stakeholders across IT and the business to translate needs into working solutions and clear delivery increments.

What success looks like (first weeks)

Rapidly understand the current Azure/Databricks landscape and delivery priorities.
Pick up 12 active use cases and move them toward production-quality standards.
Strengthen delivery patterns (templates evaluation approach monitoring data quality checks).
Create momentum with visible working increments and pragmatic documentation.

Required experience

Proven experience as a Data Engineer / Data & AI Engineer delivering solutions into production environments.
Strong hands-on Databricks expertise: Spark/SQL Delta Lake Jobs/Workflows performance tuning.
Strong Python SQL for data engineering and AI/ML workflows.
Experience building data pipelines with quality checks and operational monitoring.
Practical experience with LLM-based solutions (RAG and/or agents) including prompt strategies and evaluation approaches.
Comfortable working independently in an interim context: you can own delivery communicate clearly and unblock yourself.

Nice to have

Azure services exposure (e.g. Azure ML Azure OpenAI Key Vault Functions ADF).
LLM toolkits (LangChain Semantic Kernel) prompt evaluation frameworks early LLMOps patterns.
CI/CD (GitHub Actions) and Infrastructure-as-Code (Terraform).
ML frameworks (PyTorch TensorFlow scikit-learn) where needed.

Why this assignment

Immediate impact: deliver AI use cases into production on a modern Azure Databricks platform.
High ownership and autonomy: a true interim role where delivery outcomes matter.
Real-world relevance: projects tied to large-scale operations in a complex safety- and compliance-aware environment.

All done!

Your application has been successfully submitted!

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Job descriptionJob Title: AI & Data Engineer InterimLocation: (Hybrid) RotterdamEngagement: Full-time 5 days a weekContract duration: 3-6 months (possibe extension)Start date: ASAPContextA large international company in the marine engineering / offshore construction sector is scaling production-grad...