SENIOR DATA ENGINEER (AWS/Python/AI Data Pipelines) - UN-client | 40-day initial | Fully Remote

SENIOR DATA ENGINEER (AWS/Python/AI Data Pipelines) - UN OPPORTUNITY - REMOTE (50/100%, 40 days initial)

For our UN client, we are looking for an experienced:

• Senior Data Engineer - AWS/AI-enabled Data Solutions
• 100% remote, supporting a UN agency in Rome
• Start: To be agreed? Two projects, 40 working days each
• 50% per project; one consultant may cover both: 40 working days at 100%, not just 50%
• At least 80% overlap with 08:30-17:00 CEST

TASKS

• Build governed ingestion, transformation and delivery pipelines for AI-assisted reporting.
• Integrate APIs and external sources with authentication, retries and schema validation.
• Implement data contracts, harmonization, lineage and automated quality checks.
• Prepare documents for knowledge-base ingestion: parsing, chunking and metadata enrichment.
• Build secure staging, reference-data caches and deterministic validation for market datasets.
• Design DynamoDB models and S3 storage for workflow state, evidence and audit records.
• Implement controlled API writeback, ensuring only human-approved datasets are persisted.
• Provide monitoring, automated tests, documentation and runbooks.
• Support LLM configuration, prompt engineering and AI-module development.

SKILLS

• Minimum 4 years building batch and Real Time data pipelines.
• Minimum 2 years with REST/JSON, data contracts, schema validation, data quality, event-driven processing, S3 and DynamoDB or PostgreSQL.
• Minimum 2 years implementing AWS data platforms and containerized workloads: S3, RDS, Lambda, Glue and DMS.
• Minimum 2 years supporting data science/ML workflows from a data engineering perspective.
• Strong SQL and Spark programming using Python, Scala and/or Java.
• Modern databases, warehouses, Data Lakes/Lakehouses and data modelling.
• Azure DevOps CI/CD, Infrastructure as Code and secure release engineering.
• Enterprise security, privacy, data governance and Responsible AI.
• Relevant Bachelor's/Master's degree and strong English.
• Experience supporting LLM/RAG workflows; Amazon Bedrock knowledge is an advantage.

International competition - please provide a competitive daily rate in EUR.

Direct applicants only - no agencies or intermediaries, please.

TO DO - to apply, please send:

1. A 3-4 sentence introduction explaining how your experience matches this specific role.
2. Your CV in Word/DOC format, clearly highlighting your relevant hands-on experience.
3. Your all-inclusive daily rate in EUR for fully remote work.Your availability/notice period and earliest possible start date.
4. Your capacity for one or both projects, %,
5. Country of residence and confirmation of working-hours overlap with Rome time.

Deadline: ASAP - early applications encouraged.