Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
This role focuses on building the data foundations that enable advanced analytics and machine learning at scale. You will design and develop data pipelines and architectures that support real-time insights and AI-driven applications across the business.
Working with large, complex datasets, you will ensure data is reliable, accessible, and optimized for both analytics and machine learning use cases. With strong ownership and technical depth, this role plays a critical part in shaping how data is structured and leveraged, enabling high-performance systems in a fast-growing, data-intensive environment.
Key Responsibilities
Design and implement distributed data pipelines for batch and real-time processing.
Build and maintain data ingestion frameworks using:
streaming systems (Kafka, Kinesis)
batch processing (Spark, Airflow)
Develop data models and warehouse schemas optimized for analytics and machine learning.
Build and manage feature stores to support ML model training and inference.
Integrate data from multiple sources (internal systems, APIs, third-party platforms) into a unified architecture.
Implement data quality validation frameworks and monitoring systems.
Optimize data pipelines for performance, scalability, and cost efficiency.
Enable real-time data availability for AI-driven applications.
Collaborate with ML Engineers to ensure seamless integration between data pipelines and model pipelines.
Implement security, governance, and compliance standards across data systems.
Technical Requirements
Strong SQL and Python for large-scale data processing.
Experience with big data frameworks:
Apache Spark, Hadoop
Experience with streaming technologies:
Kafka, Kinesis
Experience with ETL/ELT tools:
dbt, AWS Glue, Airflow
Strong knowledge of data warehousing solutions:
Snowflake, Redshift, BigQuery
Experience with cloud platforms (AWS preferred):
S3, EMR, Lambda, Glue
Understanding of data modeling techniques (star schema, normalization).
Experience building scalable, distributed systems.
Exposure to ML pipelines, feature engineering, and data preparation for AI models.
Familiarity with data governance, lineage, and monitoring tools.
Why Join Us?
Work with one of the world’s leading financial derivatives institutions.
Competitive salary plus performance-based incentives.
Access to a dynamic, international, and fast-growing environment.
Strong opportunities for career progression within a global financial group.
Be part of a business committed to innovation, excellence, and long-term growth.
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.
