Data Pipeline Engineer

About This Role

Data Pipeline Engineer

Location: Dubai

Travel to Saudi

About us

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.

Role Overview

As a Data Pipeline Engineer at NETbuilder, you will work on projects to help 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

Required:

• Able to obtain a Saudi Visa (and UAE visa if Dubai based)
• 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)

Preferred:

• 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, OpenShift).
• Experience with cloud computing platforms (AWS, Azure, or GCP).
• Previous experience using PMO and ITSM tooling (ServiceNow, JIRA, Confluence).

Certifications:

• Certified in relevant data logging/pipeline tool such as Cribl, Splunk or Elastic.

Personal Attributes

• 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.