Finance Data Architect

Vatic Labs; Abu Dhabi; On-site; AED 120,000 - 160,000; Full time

Job summary

A data-focused technology firm in Abu Dhabi is seeking a hands-on Data Engineer to build and scale their data foundation. You will design and implement end-to-end ETL/ELT pipelines, optimize OLTP/OLAP systems, and collaborate closely with Quant/AI teams on complex financial datasets. Ideal candidates should have strong SQL skills and proficiency with both relational and non-relational databases on cloud platforms like AWS or Azure. This role offers direct executive exposure and comprehensive health benefits.

Benefits

Full health insurance coverage

Free lunch at the office

Qualifications

• Strong experience with MySQL and PostgreSQL.
• Proficient with non-relational and vector databases.
• Production experience with cloud data layers on AWS, Azure, or GCP.
• Experience building ETL/ELT pipelines end-to-end.
• Familiarity with financial data schemas and data modeling.

Responsibilities

• Design and implement end-to-end ETL/ELT pipelines from ingestion to delivery.
• Model financial datasets, defining schemas and SLAs.
• Operate and optimize OLTP/OLAP, search, and vector stores.
• Build data quality checks and automate testing and deployment.
• Collaborate with Quant/AI teams for new data sources.

Skills

Advanced SQL

MySQL

PostgreSQL

MongoDB

Elasticsearch

Chroma

AWS

Azure

GCP

Job description

We’re looking for a hands‑onData Engineer to build and scale the data foundation that powers research and trading. You’ll design schemas, pipelines, and storage layers across relational, NoSQL, and vector databases; productionize ETL/ELT on public clouds; and partner closely with researchers to model complex financial datasets.

What You’ll Do

• Design, implement, and ownend‑to‑end ETL/ELT pipelines (batch and streaming) from ingestion to feature delivery.
• Model financial datasets and defineschemas,ing, indexing, and SLAs for analytical and real‑time use cases.
• Operate and optimizeOLTP/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 productionize new data sources and features.

Required Qualifications

• Advanced SQL; strong experience withMySQL andPostgreSQL.
• Proficient with non‑relational and vector databases: MongoDB, Elasticsearch, Chroma (or similar).
• Production experience with data layers onAWS / Azure / GCP (e.g., S3/GCS/ADLS, Redshift/BigQuery/Synapse, Glue/Dataproc/Data Factory).
• Havebuilt ETL/ELT pipelines end‑to‑end (orchestrated, monitored, and supported in production).
• Familiar withfinancial data schemas and data modeling (tick/trade/quote, fundamentals, alternative data, vendor formats).

Here’s what you can expect:

• 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.