Net Developer jobs in France
Frontend React Engineer - Build Responsive UIs
Aqary Investement And Development
Front End Developer React
Aqary Investement And Development
Discover more opportunities than anywhere else. Find more jobs now
Connect with headhunters to apply for similar jobsSenior Backend Engineer: Cloud Security & Networking (Go)
Illumio
Senior Backend Engineer: Cloud Security & Networking
Illumio
Remote Front-End Web Developer: UX, SEO & Scale
Xapo Bank
Front-End Web Developer (Remote - Work from Anywhere)
Xapo Bank
Senior React/TypeScript Frontend Engineer for Enterprise
Nagarro
FastAPI Backend Engineer — Secure, Scalable APIs
Antons Recruitment Agency
iGaming Full-Stack Developer — Real‑Money Gaming (Dubai)
Qureos Inc
Banking Mobile Developer (Android & iOS) - Kotlin/Swift
Mashreq Bank PSC
Finance Data Architect
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
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
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.
- 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.
- 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).
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.