Data Engineer – OCI Data Lakehouse (DLH) Projects

Datamatics Technologies; Dubai; On-site; AED 240,000 - 360,000; Full time

Job summary

Datamatics Technologies is seeking a Data Engineer to lead OCI Data Lakehouse initiatives in the UAE, driving design, development, and optimization of scalable data pipelines for analytics and AI/ML readiness.

The role collaborates with actuarial, underwriting, claims, and finance teams to convert raw data into trusted data assets, enforce governance, and enable cost-efficient storage and reliable data delivery across the enterprise DLH platform.

Qualifications

• Requires OCI Data Platform expertise with ADW, OCI Object Storage, OCI Data Flow, ODI, and AIDP.
• Strong SQL and Python development skills.
• Experience tuning large-scale data workloads and building cloud-native data pipelines.

Responsibilities

• Design, build, and maintain scalable data pipelines and ingestion workflows in OCI DLH environments.
• Develop ETL/ELT processes and manage Delta Lakehouse architectures for analytics and regulatory reporting.
• Model data for analytics, ensure data quality, lineage, and governance across the lakehouse.
• Collaborate with stakeholders across actuarial, underwriting, claims, and finance to deliver data products.

Skills

OCI Data Platform

SQL

Python

Delta Lakehouse

ODI

ADW

AIDP

OCI Data Flow

OCI Object Storage

Tools

ODI

AIDP

ADW

OCI Data Flow

OCI Object Storage

Job description

Data Engineer – OCI Data Lakehouse (DLH) Projects

Location: UAE
Employment Type: Full-Time
Department: Data Management Office
Experience: 7+ Years

Role Overview

Highly skilled Data Engineer for a Data Management Office and to play a key role in advancing enterprise OCI Data Lakehouse (DLH) initiatives. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, ingestion frameworks, and data products that support business analytics, regulatory reporting, and AI/ML-driven innovation.

Working closely with cross-functional stakeholders across Actuarial, Underwriting, Claims, Finance, and Business teams, the Data Engineer will help transform raw data into trusted, high-value data assets that drive strategic decision-making.

Key Responsibilities

Data Engineering & Pipeline Development Design, build, and maintain scalable data ingestion, transformation, and orchestration pipelines using OCI Data Flow, Oracle Data Integrator (ODI), and AIDP.

Develop robust ETL/ELT processes to support enterprise data integration and analytics requirements. Implement and manage Delta Lakehouse architectures, including ingestion, curation, and consumption layers. Data Modeling & Analytics Enablement Design and optimize analytical data models, data marts, and datasets on Oracle Autonomous Data Warehouse (ADW).

Ensure data structures are aligned with business reporting, operational analytics, and advanced AI/ML use cases. Collaborate with business stakeholders to translate requirements into scalable technical solutions and reusable data products. Data Lakehouse & Storage Management Manage both structured and unstructured datasets within OCI Object Storage. Implement storage lifecycle strategies, governance policies, and cost optimization measures.

Ensure efficient organization and accessibility of enterprise data assets across the Data Lakehouse ecosystem. Architecture, Quality & Governance Partner with data architects to create reusable and high-performance ingestion frameworks for new initiatives. Embed data quality, lineage, metadata management, and governance controls into all data pipelines. Drive continuous improvements in platform performance, scalability, and reliability. Performance Optimization Tune and optimize SQL workloads, Spark jobs, ETL processes, and ADW performance. Monitor data processing efficiency and proactively resolve bottlenecks to ensure optimal platform utilization.

Required Skills & Experience

OCI Data Platform Expertise Strong hands-on experience with the following Oracle Cloud Infrastructure services: Oracle Autonomous Data Warehouse (ADW) OCI Object Storage OCI Data Flow (Apache Spark) Oracle Data Integrator (ODI) Oracle AI Data Platform (AIDP)

Technical Competencies

Advanced proficiency in SQL and Python development. Strong experience in performance tuning, optimization, and troubleshooting of large-scale data workloads. Hands-on experience building modern data pipelines and cloud-native data platforms, preferably on Oracle Cloud Infrastructure (OCI). Solid understanding of Delta Lakehouse architecture, Medallion Architecture, data versioning, and modern data engineering best practices.

Domain Knowledge

• Policy Administration
• Claims Management
• Underwriting
• Finance & Regulatory Reporting (Preferred but not mandatory.)

Soft Skills

Strong analytical and problem-solving capabilities. Effective communication and stakeholder management skills. Ability to work collaboratively across business and technology teams in a fast-paced environment.

Preferred Qualifications

Experience with Oracle GoldenGate for real-time data replication and Change Data Capture (CDC) pipelines. Familiarity with modern data governance, metadata management, and data observability frameworks. Exposure to AI/ML data preparation and feature engineering workflows within enterprise Data Lakehouse environments.

Must Have

• OCI Data Platform Expertise - Strong hands-on experience with the following Oracle Cloud Infrastructure services: Oracle Autonomous Data Warehouse (ADW), OCI Object Storage, OCI Data Flow (Apache Spark), Oracle Data Integrator (ODI), Oracle AI Data Platform (AIDP)
• Advanced proficiency in SQL and Python development.
• Strong experience in performance tuning, optimization, and troubleshooting of large-scale data workloads.
• Hands-on experience building modern data pipelines and cloud-native data platforms, preferably on Oracle Cloud Infrastructure (OCI).
• Solid understanding of Delta Lakehouse architecture, Medallion Architecture, data versioning, and modern data engineering best practices.

Good to Have

• Experience with Oracle GoldenGate for real-time data replication and Change Data Capture (CDC) pipelines.
• Familiarity with modern data governance, metadata management, and data observability frameworks.
• Exposure to AI/ML data preparation and feature engineering workflows within enterprise Data Lakehouse environments.