Summary
MultiBank Group is a financial services group headquartered in Dubai, UAE. The Senior Data Engineer will build and maintain scalable data pipelines, APIs, storage systems, and data quality processes for machine learning and analytics. The role also includes supporting data governance, security, documentation, and streaming requirements in collaboration with data scientists, ML engineers, and business stakeholders. Candidates need at least eight years of data engineering experience and proficiency in relevant programming languages and big data technologies; the posting mentions a competitive salary plus performance-based incentives.
The posting
As published on multibankgroup.com. Pulled from the employer's site and shown as they wrote it.
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
We are seeking a Senior Data Engineer to design, develop, and maintain the data infrastructure that supports the organization's AI, machine learning, and analytics initiatives. Working closely with data scientists, ML engineers, and business stakeholders, the Senior Data Engineer will be responsible for building scalable, reliable data pipelines and ensuring data is accessible, consistent, and production-ready across the organization.
Key Responsibilities
Design, construct, install, test, and maintain highly scalable data pipelines with a focus on machine learning models and analytics
Work closely with data scientists, ML engineers, and stakeholders to ensure data is accessible, consistent, and reliable for ongoing projects
Develop and maintain APIs for data access and manipulation, and integrate with external data services as needed
Manage and optimize data storage solutions for both structured and unstructured data, including relational databases, NoSQL databases, search engines such as Elasticsearch, and object storage, covering text, image, audio, and video data to support machine learning model requirements
Implement data quality monitoring processes to ensure production data is always accurate and available to key stakeholders
Collaborate with ML engineers on data-related technical issues and provide architectural guidance and solutions
Support metadata management and data governance using cataloging tools such as OpenMetadata
Ensure compliance with data security and privacy policies across all data systems
Maintain clear and up-to-date documentation including data dictionaries, metadata, and architectural diagrams
Contribute to real-time and streaming data processing requirements where applicable
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience
8 or more years of experience in a data engineering role
Proficiency in Python, Java, and Scala, with experience managing large-scale data at terabyte to petabyte scale
Hands-on experience with big data technologies including Hadoop, Spark, and Flink
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar
Strong understanding of data warehousing, ETL processes, and data modeling concepts
Experience with cloud platforms, with AWS as the primary platform including S3, Redshift, Glue, and Lambda; Azure, GCP, and VMware experience is beneficial
Experience with API development using RESTful or GraphQL approaches
Knowledge of DevOps practices, CI/CD, and containerization using Docker or Kubernetes
Familiarity with BI tools such as Metabase and data catalog tooling such as OpenMetadata
Experience with streaming platforms such as Kafka or RabbitMQ
Fintech sector experience is an advantage
Technical Skills
Languages: Python, Java, Scala, SQL, Bash
Big Data: Hadoop, Spark, Flink
Unstructured Data: Text, Image, Audio and Video
Databases: MySQL, PostgreSQL, MongoDB, Cassandra, HBase, Redis
Cloud: AWS (S3, Redshift, Glue, Lambda) as primary; Azure, GCP, VMware
APIs: RESTful, GraphQL, OpenAPI
Data Services: Kafka, RabbitMQ
Containers: Docker, Kubernetes
BI and Cataloging: Metabase, OpenMetadata
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.