Senior Market Data Engineer

BHFT; United Arab Emirates; Remote; AED 120,000 - 200,000; Full time

Job summary

A technology-driven company is looking for a Data Engineer to design and maintain their Data Lake infrastructure. The role includes architecting ingestion pipelines, optimizing storage strategies, and collaborating with various teams. Applicants should have significant experience in data systems, expert-level Python skills, and familiarity with tools like Airflow and Kafka. This is a full-time remote position offering professional growth opportunities and flexibility.

Benefits

Flexible work schedule

Health insurance compensation

Support for sports activities

Opportunities for professional training

Qualifications

• 6 years of experience building and maintaining production-grade data systems.
• Expert-level in Python; experience with Go and C is a nice to have.
• Advanced SQL skills including complex aggregations and query optimization.

Responsibilities

• Architect and implement batch/stream pipelines for data.
• Develop internal libraries for data management and validation.
• Embed monitoring and alerting for data quality.

Skills

Python development

Data lake architecture

SQL

Airflow

Kafka

APIs (REST/gRPC)

Linux

Docker

Job description

Data Engineering team is responsible for designing building and maintaining the Data Lake infrastructure including ingestion pipelines storage systems and internal tooling for reliable scalable access to market data.

Key Responsibilities

• Ingestion&Pipelines: Architect batchstream pipelines (Airflow Kafka dbt) for diverse structured and unstructured marked data. Provide reusable SDKs in Python and Go for internal data producers.

• Storage&Modeling: Implement and tune S3 columnoriented and timeseries data storage for petabytescale analytics; own partitioning compression TTL versioning and cost optimisation.

• Tooling & Libraries: Develop internal libraries for schema management data contracts validation and lineage; contribute to shared libraries and services for internal data consumers for research backtesting and real-time trading purposes.

• Reliability & Observability: Embed monitoring alerting SLAs SLOs and CI/CD; champion automated testing data quality dashboards and incident runbooks.

• Collaboration: Partner with Data Science QuantResearch Backend and DevOps to translate requirements into platform capabilities and evangelise best practices.

Qualifications :

• 6 years of experience building and maintaining production-grade data systems with proven expertise in architecting and launching data lakes from scratch.
• Expert-level Python development skills (Go and C nice to have).
• Hands-on experience with modern orchestration tools (Airflow) and streaming platforms (Kafka).
• Advanced SQL skills including complex aggregations window functions query optimization and indexing.
• Experience designing high-throughput APIs (REST/gRPC) and data access libraries.
• Solid fundamentals in Linux containerization (Docker) and cloud object storage solutions (AWS S3 GCS).
• Strong knowledge of handling diverse data formats including structured and unstructured data with experience optimizing storage strategies such as partitioning compression and cost management.
• English at C1 level - confident communication documentation and collaboration within an international team.

Additional Information :

What we offer:

• Working in a modern international technology company without bureaucracy legacy systems or technical debt.
• Excellent opportunities for professional growth and self-realization.
• We work remotely from anywhere in the world with a flexible schedule.
• We offer compensation for health insurance sports activities and professional training.

Remote Work :

Yes

Employment Type :

Full-time