Job Description
Were looking for a hands-on
Data Engineer to build and scale the data foundation that powers research and trading. Youll 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 Youll Do
- 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 productionize new data sources and features.
Required Qualifications
- 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/BigQuery/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).
At Vatic, were serious about our workbut we also believe in balance, growth, and having fun along the way. Heres 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.
Job Details
Role Level: Entry-Level Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: http://www.vaticlabs.ai Job Function: Information Technology (IT) Company Industry/
Sector: Technology Information and Internet
What We Offer
About The Company
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