AI Data Engineer
Design and deploy AI/ML pipelines and GenAI apps to personalize trading experiences, predict customer churn, and automate marketing workflows using Python, SQL, and AWS SageMaker.
- Compensation
- Not disclosed
- Location
- Dubai, United Arab Emirates
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong expertise in SQL, comfortable with raw data and multiple high‑volume datasets such as customer journey, marketing performance or product behaviour.
- Comfortable creating pipelines and automations with Python to connect multiple endpoints and APIs such as first‑party databases, marketing platforms or other data collection platforms.
- Expertise in using Python to deploy machine learning solutions end‑to‑end, especially around predictive modelling and customer segmentation.
- Previous experience in finding customer insights through data analysis, communicating it to different stakeholders and strategizing on how to increase customer engagement and LTV.
- Capable of creating applications using LLMs that summarise high volumes of data and knowledge of the latest Gen AI use cases.
- Previous exposure to ETL tools (e.g., dbt, AWS Glue) and cloud environments (preferably AWS, SageMaker).
- Strong communication skills with the ability to present complex data insights to non‑technical stakeholders and support business strategy.
Full description
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 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking an experienced AI Data Engineer to design, develop, and deploy innovative data and machine learning solutions that drive customer engagement, retention, and lifetime value (LTV). This role will focus on building scalable data pipelines, predictive models, and GenAI‑powered applications that enable more personalised trading experiences and support data‑driven decision‑making across the business.
Key Responsibilities
- Collaborate with the wider marketing department to build meaningful datasets and a centralised data warehouse that will be used for reporting across numerous teams, focused on customer retention and LTV.
- Develop and own machine learning solutions that specialise in customer personalisation to increase engagement and coordinate with marketing teams towards their strategy and execution across multiple channels, especially around predictive modelling, churn prediction and customer segmentation.
- Explore the capabilities of Gen AI to develop new apps for our traders that make trading easier and more personalised based on their preferences.
- Maintain a commercial acumen and find opportunities where technology can be used to increase customer engagement or automate internal tasks.
Qualifications & Requirements
- Strong expertise in SQL, comfortable with raw data and multiple high‑volume datasets such as customer journey, marketing performance or product behaviour.
- Comfortable creating pipelines and automations with Python to connect multiple endpoints and APIs such as first‑party databases, marketing platforms or other data collection platforms.
- Expertise in using Python to deploy machine learning solutions end‑to‑end, especially around predictive modelling and customer segmentation.
- Previous experience in finding customer insights through data analysis, communicating it to different stakeholders and strategizing on how to increase customer engagement and LTV.