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Data Pipeline Engineer

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: NETbuilder
Full Time position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, IT Consultant, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 180000 - 300000 SAR Yearly SAR 180000.00 300000.00 YEAR
Job Description & How to Apply Below

We’re a global tech consultancy with over 20 years of experience delivering digital transformation across financial services, government, and commercial sectors. We offer a supportive environment where your voice is heard, your growth is supported, and your career path is tailored to you.

As a Data Pipeline Engineer you will work on projects to help our clients operate successfully. You will collaborate with diverse stakeholders, including end-users, business analysts, designers, and operations teams to solve complex problems and execute 'hands-on' engineering tasks.

Key Responsibilities:
  • Solution Design & Implementation:
    Design, implement, and maintain solutions.
  • Data Onboarding:
    Onboard complex data sources.
  • Client Engagement:
    Manage client relationships and work directly with customers to understand their data and technology challenges.
  • Consultation & Support:
    Provide pre-sales support and assist with customer training and adoption.
  • Best Practices:
    Stay up to date on Cribl best practices to ensure optimal solution delivery.
Key Skills &

Qualifications:
  • Proven experience in data logging/pipeline tools such as Splunk, Cribl or Elastic.
  • Proven experience working with clients to manage demands, expectations, and business requirements.
  • Proficiency in data onboarding activities, including developing custom parsing functions and transformations.
  • Experience in writing complex queries, parsers and handling data streams
  • Ability to solve complex problems with hands-on engineering tasks.
  • 2+ years of experience with relevant data tool (i.e., Splunk, Elastic, Cribl).
  • Experience configuring and maintaining large data pipelining environments.
  • Proficiency in scripting languages (e.g., Python, Bash) and writing regular expressions.
  • Familiarity with containerized solutions (Kubernetes, Docker, Open Shift).
  • Experience with cloud computing platforms (AWS, Azure, or GCP).
  • Previous experience using PMO and ITSM tooling (Service Now, JIRA, Confluence).

Formal certifications (preferred) in relevant data logging/pipeline tools such as Cribl, Splunk or Elastic.

About you:
  • Passionate about technology and technical development.
  • Proactive approach to problem-solving with excellent analytical skills.
  • Self-sufficient with strong written and verbal communication skills.
  • Ability to engage with non-technical staff and collaborate effectively with peers.
  • Strong team-playing mentality and ability to work to tight deadlines.
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