Data Engineer; UAE

Vatic Labs, Abu Dhabi, UAE

We’re looking for a hands‑on Data Engineer to build and scale the data foundation that powers research and trading. You’ll design schemas, pipelines, and storage layers across relational, No

SQL, and vector databases; product ionize ETL/ELT on public clouds; and partner closely with researchers to model complex financial datasets.

• Design, implement, and own end-to-end ETL/ELT pipelines (batch and streaming) from ingestion to feature delivery.
• Model financial datasets and define schemas, partitioning, indexing, and SLAs for analytical and real‑time use cases.
• Operate and optimize OLTP/OLAP, search, and vector stores; tune performance, cost, and reliability.
• Build data quality checks, lineage, and observability; automate testing and deployment of pipelines.
• Collaborate with Quant/AI teams to product ionize new data sources and features.

• Advanced SQL; strong experience with MySQL and Postgre
  
  SQL.
• Proficient with non‑relational and vector databases:
  Mongo
  
  DB, Elasticsearch, Chroma (or similar).
• Production experience with data layers on AWS / Azure / GCP (e.g., S3/GCS/ADLS, Redshift/Big Query/Synapse, Glue/Dataproc/Data Factory).
• Have built ETL/ELT pipelines end-to-end (orchestrated, monitored, and supported in production).
• Familiar with financial data schemas and data modeling (tick/trade/quote, fundamentals, alternative data, vendor formats).

• Flat structure with direct executive exposure – work closely with leadership and make an impact from day one.
• Comprehensive health benefits – full health insurance coverage for employees and dependents.

Entry level

Full‑time

Information Technology

Technology, Information and Internet