Data Engineer

Posted 8 Days Ago
Be an Early Applicant
Jubail, SAU
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Build and optimize scalable data ingestion, transformation, and consumption pipelines on an on-premises lakehouse platform. Develop Spark-based ETL/ELT workloads, Apache Iceberg datasets, and Informatica integrations while enabling analytics through Denodo, Starburst, or Dremio. Implement data quality, governance, metadata, security, and validation controls. Collaborate on deployment, migration, testing, production rollout, troubleshooting, and performance optimization for batch and near-real-time workloads.
Summary Generated by Built In
Job Description – Data Engineer

Employment Type: Full-Time
Work Location: KSA
Experience Required: Hands-on experience with Spark development, Informatica integration solutions, and enterprise data platforms.
Years of experience: 5 to 10 

Role Overview

We are looking for a Data Engineer to build, configure, and optimize data ingestion, transformation, and consumption workloads on a modern on-premises lakehouse platform. The ideal candidate will have strong hands-on experience with Spark-based development, enterprise data lake/lakehouse implementations, and Informatica-based integration solutions.

Key Responsibilities
  • Design and develop scalable data ingestion and transformation pipelines.
  • Build, optimize, and maintain Spark-based ETL/ELT workloads.
  • Develop and manage data models and datasets using Apache Iceberg tables.
  • Implement and support data integration workflows using Informatica.
  • Enable analytics and data consumption through Denodo, Starburst, and/or Dremio.
  • Develop secure, governed, and scalable data pipelines aligned with enterprise standards.
  • Support batch and near real-time data processing requirements.
  • Implement data quality, metadata management, and validation controls.
  • Collaborate with Platform Engineers on deployment, integration, and operationalization activities.
  • Support migration, testing, and production rollout initiatives.
  • Troubleshoot and optimize data pipeline performance, reliability, and scalability.
Must-Have Skills
  • Apache Spark (PySpark and/or Scala Spark)
  • Apache Iceberg
  • Informatica Data Integration
  • MinIO Object Storage
  • Denodo
  • SQL and Data Modeling
  • Data Warehousing Concepts
  • ETL/ELT Development
  • Git Version Control
Good-to-Have Skills
  • Starburst and/or Dremio
  • Data Governance and Metadata Management
  • Data Quality Frameworks
  • CI/CD for Data Pipelines
  • Python
  • Kafka or Streaming Technologies
  • Lakehouse Architecture Patterns
  • Experience with enterprise data lake and lakehouse implementations
  • Performance tuning and optimization of large-scale data workloads

Skills Required

  • 5 to 10 years of hands-on experience
  • Apache Spark, including PySpark and/or Scala Spark
  • Apache Iceberg
  • Informatica Data Integration
  • MinIO Object Storage
  • Denodo
  • SQL and data modeling
  • Data warehousing concepts
  • ETL/ELT development
  • Git version control
  • Starburst and/or Dremio
  • Data governance and metadata management
  • Data quality frameworks
  • CI/CD for data pipelines
  • Python
  • Kafka or streaming technologies
  • Lakehouse architecture patterns
  • Enterprise data lake and lakehouse implementations
  • Performance tuning and optimization of large-scale data workloads

Datamatics Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.

  • Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
  • Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.

Datamatics Technologies Insights

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The Company
HQ: Dubai
65 Employees
Year Founded: 2016

What We Do

Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.

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