Engineering

Principal Engineer - Data & AI (Oil & Gas) (Doha)

Doha, Doha Municipality
Work Type: Full Time

Senior Technical Lead (Data & AI) / Delivery Owner

(Category – Principal Engineer / Technical Lead)

Sector: Oil and Gas

Location: Doha, Qatar / India


About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

 

Key Responsibilities

•            Technical Leadership & Mentorship: Lead, mentor, and provide technical direction to a multi-disciplinary team of engineers (Data, DevOps, Security). Foster a culture of high technical standards, collaboration, and continuous improvement.

•            Detailed Solution Design: Partner with the Solutions Architect and Project Manager to decompose high-level architecture into detailed technical designs, actionable tasks, and implementation plans for the engineering team.

•            Hands-on Development: Act as the lead engineer, personally designing and building the most complex components of the solution, including data pipelines, IaC modules, and CI/CD frameworks.

•            Cross-Functional Integration: Drive the seamless integration of diverse systems, including OT data from historians (OSIsoft PI), data platforms (Databricks), cloud infrastructure (Azure), and CI/CD pipelines (Azure DevOps).

•            Technical Governance & Quality: Enforce technical best practices across all domains. Conduct rigorous code reviews, design reviews, and security assessments. Ensure all solutions adhere to "security-by-design" principles, CI/CD automation standards, and data governance policies.

•            Stakeholder Collaboration: Translate complex technical concepts and risks to the Project Manager and business stakeholders. Manage technical dependencies and help the PM with accurate effort estimation and milestone tracking.

•            Problem Solving: Serve as the primary escalation point for the team's most complex technical challenges, leading root cause analysis and implementing robust, long-term solutions.

Required Skills & Experience

•            Experience: 12+ years in technical roles, with at least 4+ years in a technical leadership or principal engineer capacity, managing cross-functional engineering teams.

•            Cloud Expertise: Expert-level, hands-on knowledge of Microsoft Azure as a primary platform.

•            Data & AI Expertise:

o            Proven mastery of Databricks and Apache Spark (PySpark).

o            Extensive experience designing and building large-scale ETL/ELT data pipelines.

o            Strong understanding of AI/ML workflows and data requirements for industrial AI use cases.

•            DevOps & IaC Expertise:

o            Deep proficiency with Infrastructure as Code (Terraform, ARM templates).

o            Hands-on mastery of Kubernetes and containerization (Docker).

o            Proven experience building and managing complex CI/CD pipelines (Azure DevOps, Jenkins).

•            Cloud Security: Strong, practical knowledge of cloud network security (VNETs, NSGs, Firewalls) and identity management (Azure Key Vault, IAM).

•            Industry Knowledge:

o            Experience in the Oil & Gas sector or a similar heavy-industry/critical infrastructure environment.

o            Demonstrable experience with OT data sources (e.g., OSIsoft PI, SCADA, historians).

•            Leadership: Proven ability to mentor senior engineers, manage technical debt, and make critical design trade-offs.

Preferred Skills

•            Multi-cloud experience, particularly GCP.

•            Professional Certifications (e.g., Azure Solutions Architect Expert, Databricks Certified Data Engineer).

•            Experience with SAP integration.

•            Familiarity with the OSDU™ Data Platform.

•            Knowledge of graph databases or vector databases.


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