Envision Employment Solutions

Senior Data Management Engineer

Envision Employment Solutions

full-time

Posted on:

Location Type: Hybrid

Location: Riyadh • Saudi Arabia

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformInformaticaOracleSQL

About the role

  • Design, build, and maintain robust ETL processes and data pipelines using Informatica (PowerCenter, IDQ, or Cloud Data Integration)
  • Develop and optimize data integration workflows for structured and unstructured data sources
  • Ensure data quality, integrity, governance, and security across enterprise platforms
  • Participate in data modeling and architecture discussions
  • Collaborate with data architects, business analysts, and application teams to align data solutions with business requirements
  • Maintain documentation of data flows, transformations, and system architecture
  • Troubleshoot performance bottlenecks and resolve complex data-related issues
  • Support enterprise data governance and metadata management initiatives

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or related field
  • 3 to 5 years of experience in data engineering or data management roles
  • Strong hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration)
  • Strong SQL skills and experience with relational databases (Oracle, SQL Server, etc.)
  • Solid understanding of data warehousing concepts and enterprise data architecture
  • Experience in data governance and metadata management
  • Familiarity with cloud data platforms (AWS, Azure, or GCP) is a plus
  • Strong analytical and troubleshooting skills
  • Very good communication skills in English
Benefits
  • Basic salary
  • Social insurance
  • Family Medical Insurance (BUPA)
  • Location: Riyadh, Saudi Arabia
  • Work Model: Hybrid – 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client’s premises on a daily basis, depending on the project requirements.
  • Working Hours: 9 AM to 6 PM
  • Days Off: Fridays and Saturday
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETL processesdata pipelinesInformaticaSQLdata integration workflowsdata warehousingdata governancemetadata managementdata modelingtroubleshooting
Soft Skills
analytical skillstroubleshooting skillscommunication skills