Machine Learning Engineer jobs in United Arab Emirates

• Historical Data Capture and Storage: Design develop and maintain systems for the acquisition storage and retrieval of historical market data from multiple financial exchanges brokers and market data vendors
• Data Integrity and Accuracy: Ensure the integrity and accuracy of historical market data including implementing data validation cleansing and normalization processes.
• Data Architecture Development: Build and optimize data storage solutions ensuring they are scalable high-performance and capable of managing large volumes of time-series data.
• Versioning and Reconciliation: Develop systems for data versioning and reconciliation to ensure that changes in exchange formats or corrections to past data are properly handled.
• Data Source Integration: Implement robust integrations with various market data providers exchanges and proprietary data sources to continuously collect and store historical data.
• Data Access Tools: Build internal tools to provide easy access to historical data for research and analysis ensuring performance ease of use and data integrity
• Collaborate with Trading and Research Teams: Work closely with quantitative researchers and traders to understand their data requirements and optimize the systems for data retrieval and analysis for backtesting and strategy development.
• Performance and Scalability: Develop scalable solutions to handle growing volumes of historical market data including ensuring efficient queries and data retrieval for research and backtesting needs.
• Optimize Storage Costs: Work on optimizing data storage solutions balancing cost-efficiency with performance and ensuring that large datasets are managed effectively.
• Compliance and Auditing: Ensure historical market data systems comply with regulatory requirements and assist in data retention integrity and reporting audits.

• Commercial experience of financial instruments and markets (equities futures options forex etc.) particularly understanding how historical data is used for algorithmic trading.
• Familiarity with market data formats (e.g. MDP ITCH FIX SWIFT proprietary exchange APIs) and market data providers.
• Strong programming skills in Python (Go/Rust is a nice to have)
• Familiarity with ETL (Extract Transform Load) processes (or other data pipeline architecture) and tools to clean normalize and validate large datasets.
• Commercial experience in building and maintaining large-scale time series or historical market data in the financial services industry.
• Strong SQL proficiency: aggregations joins subqueries window functions (first last candle histogram) indexes query planning and optimization.
• Strong problem-solving skills and attention to detail particularly in ensuring data quality and reliability.
• Bachelors degree in Computer Science Engineering or related field.

• Experience in a proprietary trading firm or buy-side environment working with historical market data and its vendors.
• Experience with data governance and compliance related to financial data storage and retrieval.
• Experience in working with distributed data systems and tools such as Hadoop Kafka Spark or similar technologies.
• Proficiency in containerization orchestration - Docker Airflow SLURM tools.
• Linux/Unix expertise particularly in managing and optimizing systems for data storage and processing.
• Experience with cloud-based storage solutions such as AWS S3 Google Cloud Storage or Azure and the ability to optimize for performance and cost.
• Familiarity with machine learning and data science workflows to support quantitative research teams.

• 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.

Yes

Full-time