Finance Data Architect; 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,ing, 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
  PostgreSQL
  .
• Proficient with non‑relational and vector databases:
  MongoDB
  , 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.
• Daily meals provided – Enjoy free lunch at the office.