Our client a leading multi-product SaaS company has partnered with TalentOne to find a Data Engineer (Software Engineer Data) to join their growing Data & AI/ML Engineering team. This is an exciting opportunity to work on high-scale data platforms powering AI/ML products fraud detection recommendation engines and personalisation solutions in a collaborative engineering-driven environment.
Location: Dubai (Hybrid)
About the Role
Design build and maintain batch and streaming data pipelines that power fraud detection recommendation engines personalisation and AI/ML products.
Work with technologies including Kafka Spark (Data bricks) Airflow and Python to deliver scalable production-ready data solutions.
Collaborate closely with data scientists and backend engineers to ensure reliable high-quality data pipelines.
Own pipeline performance monitoring testing and reliability while contributing to continuous platform improvements.
Requirements
3 years of experience in Data Engineering or Software Engineering (Data).
Strong Python skills including PySpark.
Hands-on experience with Kafka and stream processing (Flink is a plus).
Experience with Spark on Data bricks and Airflow (or similar orchestration tools).
Strong SQL data modelling and relational database knowledge.
Nice to have: Experience with Docker Kubernetes Feature Stores MLOps ML pipelines or SaaS/high-scale product environments.
Benefits
Competitive salary with annual performance bonus.
Comprehensive medical insurance.
Annual flight allowance.
Visa sponsorship.
Annual leave entitlement.
Learning & conference budget.
Hybrid working model (approximately 3 days per week in the Dubai office).
Opportunity to work with a distributed engineering team across Dubai and Europe building cutting-edge AI/ML and data platforms.
Required Skills:
Qualifications Education Bachelors Degree in Information Technology Computer Science Engineering Information Systems or a related discipline. Masters Degree in Business Administration (MBA) Information Technology or a related field is preferred. Professional Certifications (Preferred) PMP (Project Management Professional) ITIL Foundation or Advanced Certifications TOGAF Digital Transformation or Enterprise Architecture Certifications Experience Minimum 1215 years of experience in Information Technology Enterprise Applications Digital Solutions or Digital Transformation. Minimum 5 years of experience in a managerial or leadership role. Mandatory experience within Banking Financial Services Investment Management Sovereign Wealth Funds Asset Management or related financial institutions. Proven experience leading large-scale digital transformation and enterprise application initiatives. Experience managing ERP systems enterprise platforms cloud migration programs and system integration projects. Strong track record in stakeholder engagement and business-technology alignment. Technical Skills & Expertise Strong knowledge of Enterprise Applications ERP platforms and Digital Business Solutions. Experience with cloud technologies system integration APIs and digital platforms. Good understanding of Artificial Intelligence (AI) Automation RPA Data Analytics and emerging technologies. Knowledge of cybersecurity governance risk management and compliance frameworks. Experience managing technology vendors and outsourced service providers. Strong project and program management capabilities. If this sounds like you Apply Now!
Our client a leading multi-product SaaS company has partnered with TalentOne to find a Data Engineer (Software Engineer Data) to join their growing Data & AI/ML Engineering team. This is an exciting opportunity to work on high-scale data platforms powering AI/ML products fraud detection recommendati...
Our client a leading multi-product SaaS company has partnered with TalentOne to find a Data Engineer (Software Engineer Data) to join their growing Data & AI/ML Engineering team. This is an exciting opportunity to work on high-scale data platforms powering AI/ML products fraud detection recommendation engines and personalisation solutions in a collaborative engineering-driven environment.
Location: Dubai (Hybrid)
About the Role
Design build and maintain batch and streaming data pipelines that power fraud detection recommendation engines personalisation and AI/ML products.
Work with technologies including Kafka Spark (Data bricks) Airflow and Python to deliver scalable production-ready data solutions.
Collaborate closely with data scientists and backend engineers to ensure reliable high-quality data pipelines.
Own pipeline performance monitoring testing and reliability while contributing to continuous platform improvements.
Requirements
3 years of experience in Data Engineering or Software Engineering (Data).
Strong Python skills including PySpark.
Hands-on experience with Kafka and stream processing (Flink is a plus).
Experience with Spark on Data bricks and Airflow (or similar orchestration tools).
Strong SQL data modelling and relational database knowledge.
Nice to have: Experience with Docker Kubernetes Feature Stores MLOps ML pipelines or SaaS/high-scale product environments.
Benefits
Competitive salary with annual performance bonus.
Comprehensive medical insurance.
Annual flight allowance.
Visa sponsorship.
Annual leave entitlement.
Learning & conference budget.
Hybrid working model (approximately 3 days per week in the Dubai office).
Opportunity to work with a distributed engineering team across Dubai and Europe building cutting-edge AI/ML and data platforms.
Required Skills:
Qualifications Education Bachelors Degree in Information Technology Computer Science Engineering Information Systems or a related discipline. Masters Degree in Business Administration (MBA) Information Technology or a related field is preferred. Professional Certifications (Preferred) PMP (Project Management Professional) ITIL Foundation or Advanced Certifications TOGAF Digital Transformation or Enterprise Architecture Certifications Experience Minimum 1215 years of experience in Information Technology Enterprise Applications Digital Solutions or Digital Transformation. Minimum 5 years of experience in a managerial or leadership role. Mandatory experience within Banking Financial Services Investment Management Sovereign Wealth Funds Asset Management or related financial institutions. Proven experience leading large-scale digital transformation and enterprise application initiatives. Experience managing ERP systems enterprise platforms cloud migration programs and system integration projects. Strong track record in stakeholder engagement and business-technology alignment. Technical Skills & Expertise Strong knowledge of Enterprise Applications ERP platforms and Digital Business Solutions. Experience with cloud technologies system integration APIs and digital platforms. Good understanding of Artificial Intelligence (AI) Automation RPA Data Analytics and emerging technologies. Knowledge of cybersecurity governance risk management and compliance frameworks. Experience managing technology vendors and outsourced service providers. Strong project and program management capabilities. If this sounds like you Apply Now!
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