maintenance engineer

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cluster chief engineer

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sales engineer

lead data governance engineer

Canonical

<div>
 Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing.
 
 
 We are hiring a
 
 Lead Data Governance Engineer
 
 with focus on data governance policies, processes, standards, and monitoring in compliance with internal policies and applicable regulatory frameworks, e.g., GDPR, DPA, ISO, etc. A successful candidate will develop Python-based tooling to automate the operations of an internal data mesh solution such as data labeling and quality metrics in a data, access management and data security best practices.
 
 
 The Data Governance team in the Commercial Systems unit has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical.
 
 
 
 Location
 
 : This role will be based remotely in the EMEA region.
 
 
 
 The role entails
 
 
 
 <ul>
 <li>
 Define, monitor, and execute data governance policies
 </li>
 <li>
 Design, implement, and maintain tooling for automated data mesh operations
 </li>
 <li>
 Deploy and operate services developed by the team
 </li>
 <li>
 Depending on your seniority, coach, mentor, and offer career development feedback
 </li>
 <li>
 Develop and evangelize great engineering and organizational practices
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Experience with data quality, governance, and security processes and tools
 </li>
 <li>
 Experience with software development in Python and SQL
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel internationally twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Nice-to-have skills
 
 
 
 <ul>
 <li>
 Performance engineering and security experience
 </li>
 <li>
 Experience with Airbyte, Ranger, Superset, Temporal, or Trino
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Lead Data Governance Engineer

PHAZERO

<div>The Role
PhazeRo is looking for a Senior Machine Learning Engineer who will take a technical
leadership role in architecting and scaling real-world AI products. You will be responsible for
contributing to and overseeing the end-to-end lifecycle of high-impact agentic systems,
moving beyond individual experimentation to leading the deployment of robust,
production-grade models. You will serve as a technical mentor for the team, driving best
practices in Software Engineering, MLOps, and LLM optimization to power next-generation
user experiences.
Core responsibilities<ul><li>Architect and Optimize Systems: Design and oversee the development of scalable</li></ul>
data pipelines for complex model training and real-time inference.<ul><li>Advanced LLM Development: Lead the fine-tuning, evaluation, and optimization of</li></ul>
Large Language Models (LLMs) specifically for production-level Agentic Digital
Assistants.<ul><li>Production &amp; Infrastructure Leadership: Direct the deployment of open-source and</li></ul>
proprietary models on remote servers, ensuring high performance, low latency, and
cost-efficiency.<ul><li>Strategic Integration: Work closely with cross-functional engineering leads to</li></ul>
integrate sophisticated ML components into broader system architectures.<ul><li>Model Governance: Establish robust monitoring frameworks to track model</li></ul>
performance and implement automated retraining loops to maintain quality and
relevance.<ul><li>R&amp;D Mentorship: Stay at the forefront of AI research and tools, translating new</li></ul>
techniques into actionable strategies for the team.
What we value<ul><li>Deep LLM Expertise: Extensive experience with transformers and advanced</li></ul>
techniques in fine-tuning, prompt engineering, and rigorous model evaluation.<ul><li>Senior Production Track Record: A proven history of taking complex ML projects</li></ul>
from research notebooks to successful, large-scale production environments.<ul><li>Expert Programming &amp; Framework Knowledge: Mastery of Python and deep</li></ul>
learning.<ul><li>MLOps Mastery: Deep familiarity with professional MLOps tooling (e.g., MLflow,</li></ul>
Weights &amp; Biases, Docker) and cloud-native architectures on OCI, AWS or GCP.<ul><li>Strategic Builder Mentality: A drive to ship fast and iterate based on user data, while</li></ul>
maintaining a long-term technical vision for product growth.<ul><li>Collaborative Leadership: Strong communication skills with the ability to lead</li></ul>
remote-first teams and foster a culture of technical excellence and inclusion</div>

Senior Machine Learning Engineer

PhazeRo

<div>
 The Role
 
 
 PhazeRo is looking for a Senior Machine Learning Engineer who will take a technical
 
 
 leadership role in architecting and scaling real-world AI products. You will be responsible for
 
 
 contributing to and overseeing the end-to-end lifecycle of high-impact agentic systems,
 
 
 moving beyond individual experimentation to leading the deployment of robust,
 
 
 production-grade models. You will serve as a technical mentor for the team, driving best
 
 
 practices in Software Engineering, MLOps, and LLM optimization to power next-generation
 
 
 user experiences.
 
 
 Core responsibilities
 
 
 <ul>
 <li>
 Architect and Optimize Systems: Design and oversee the development of scalable
 
 
 </li>
 </ul>
 data pipelines for complex model training and real-time inference.
 
 
 <ul>
 <li>
 Advanced LLM Development: Lead the fine-tuning, evaluation, and optimization of
 
 
 </li>
 </ul>
 Large Language Models (LLMs) specifically for production-level Agentic Digital
 
 
 Assistants.
 
 
 <ul>
 <li>
 Production &amp; Infrastructure Leadership: Direct the deployment of open-source and
 
 
 </li>
 </ul>
 proprietary models on remote servers, ensuring high performance, low latency, and
 
 
 cost-efficiency.
 
 
 <ul>
 <li>
 Strategic Integration: Work closely with cross-functional engineering leads to
 
 
 </li>
 </ul>
 integrate sophisticated ML components into broader system architectures.
 
 
 <ul>
 <li>
 Model Governance: Establish robust monitoring frameworks to track model
 
 
 </li>
 </ul>
 performance and implement automated retraining loops to maintain quality and
 
 
 relevance.
 
 
 <ul>
 <li>
 R&amp;D Mentorship: Stay at the forefront of AI research and tools, translating new
 
 
 </li>
 </ul>
 techniques into actionable strategies for the team.
 
 
 What we value
 
 
 <ul>
 <li>
 Deep LLM Expertise: Extensive experience with transformers and advanced
 
 
 </li>
 </ul>
 techniques in fine-tuning, prompt engineering, and rigorous model evaluation.
 
 
 <ul>
 <li>
 Senior Production Track Record: A proven history of taking complex ML projects
 
 
 </li>
 </ul>
 from research notebooks to successful, large-scale production environments.
 
 
 <ul>
 <li>
 Expert Programming &amp; Framework Knowledge: Mastery of Python and deep
 
 
 </li>
 </ul>
 learning.
 
 
 <ul>
 <li>
 MLOps Mastery: Deep familiarity with professional MLOps tooling (e.g., MLflow,
 
 
 </li>
 </ul>
 Weights &amp; Biases, Docker) and cloud-native architectures on OCI, AWS or GCP.
 
 
 <ul>
 <li>
 Strategic Builder Mentality: A drive to ship fast and iterate based on user data, while
 
 
 </li>
 </ul>
 maintaining a long-term technical vision for product growth.
 
 
 <ul>
 <li>
 Collaborative Leadership: Strong communication skills with the ability to lead
 
 
 </li>
 </ul>
 remote-first teams and foster a culture of technical excellence and inclusion
</div>

Oman Airports Management Company

<div>
 
 
 Role Purpose
 
 
 
 The Director, Integrated Data &amp; Architecture is accountable for establishing a secure, trusted, and interoperable data foundation across the airport company and its aviation ecosystem.
 
 
 The role will create a unified single source of truth, define enterprise and cross-partner data standards, lead architecture integration across legacy and future systems, and enable data-driven operations, performance management, and digital innovation.
 
 
 This position is central to reducing fragmentation across more than 20 data environments and transforming data into a strategic asset for operational excellence, commercial growth, safety, and regulatory confidence.
 
 
 
 
 
 
 Key Accountabilities
 
 
 
 Integrated Data Strategy
 
 <ul>
 <li>
 Define and execute the multi-year roadmap for data integration, governance, and platform modernization.
 </li>
 <li>
 Align investments to corporate strategy, operational resilience, and customer experience.
 </li>
 <li>
 Establish principles for interoperability across current and future systems.
 </li>
 </ul>
 
 Enterprise &amp; Ecosystem Architecture
 
 <ul>
 <li>
 Own end-to-end data architecture including integration patterns, master data, metadata, APIs, and information flows.
 </li>
 <li>
 Rationalize legacy platforms and reduce duplication.
 </li>
 <li>
 Ensure scalability for AI, automation, and predictive capabilities.
 </li>
 </ul>
 
 Data Governance &amp; Control
 
 <ul>
 <li>
 Establish data ownership and stewardship across business units.
 </li>
 <li>
 Implement policies covering quality, security, privacy, retention, and lifecycle.
 </li>
 <li>
 Lead governance councils and enforce adherence to standards.
 </li>
 </ul>
 
 Single Source of Truth
 
 <ul>
 <li>
 Deliver certified, trusted datasets for executive reporting and operational control.
 </li>
 <li>
 Harmonize definitions, KPIs, and metrics across stakeholders.
 </li>
 <li>
 Eliminate conflicting reports.
 </li>
 </ul>
 
 Aviation Ecosystem Integration
 
 <ul>
 <li>
 Define frameworks for data exchange with airlines, ground handlers, authorities, concessionaires, and mobility partners.
 </li>
 <li>
 Support collaborative decision making through shared and synchronized data.
 </li>
 <li>
 Lead data standardization in line with international best practice.
 </li>
 </ul>
 
 Platform &amp; Delivery Oversight
 
 <ul>
 <li>
 Sponsor and oversee implementation of the enterprise data hub / lake / warehouse.
 </li>
 <li>
 Govern vendors, integrators, and technology partners.
 </li>
 <li>
 Ensure value realization from investments.
 </li>
 </ul>
 
 Risk, Cyber &amp; Compliance
 
 <ul>
 <li>
 Reduce operational and regulatory risk arising from inconsistent or poor-quality data.
 </li>
 <li>
 Ensure secure cross-organizational information exchange.
 </li>
 </ul>
 
 Change &amp; Capability Development
 
 <ul>
 <li>
 Promote data literacy and accountability.
 </li>
 <li>
 Embed governed, data-driven ways of working.
 </li>
 </ul>
 
 
 
 
 
 Reporting Line
 
 
 
 
 Typically reports to: VP Digital Transformation &amp; Innovation
 
 
 
 Acts as a strategic peer to leaders in Operations, Commercial, Finance, Technology, Security, and Risk.
 
 
 
 
 
 
 Leadership Scope
 
 
 <ul>
 <li>
 Build and lead capabilities across governance, architecture, engineering, and analytics enablement.
 </li>
 <li>
 Chair enterprise and cross-partner data forums.
 </li>
 <li>
 Direct major transformation programs and associated budgets.
 </li>
 </ul>
 
 
 
 
 
 Experience Required
 
 
 <ul>
 <li>
 Bachelor's degree in IT engineering
 </li>
 <li>
 12&ndash;15+ years in data, digital, or enterprise architecture leadership.
 </li>
 <li>
 Proven success integrating complex, multi-stakeholder environments.
 </li>
 <li>
 Experience implementing governance and master data frameworks.
 </li>
 <li>
 Strong executive influencing and change leadership capability.
 </li>
 <li>
 Aviation, transport, or regulated infrastructure experience preferred.
 </li>
 </ul>
 
 
</div>

Director, Integrated Data & Architecture

<div>
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 To oversee the planning, prioritization, and execution of the digital transformation portfolio, innovation programs, enterprise digital architecture, and data platforms, ensuring coordinated and measurable business impact across all airport stakeholders. The role provides executive leadership and strategic direction across digital delivery, innovation, emerging technologies, architecture, and data domains, acting as the primary authority for digital value realization, transformation governance, and innovation enablement.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Define and continuously evolve the enterprise Digital Transformation and Innovation vision, strategy, and multi-year roadmap aligned with corporate strategy and corporate priorities.
 </li>
 <li>
 Provide executive oversight and governance of the digital transformation portfolio, ensuring that investment prioritization, sequencing, and value realization are aligned with enterprise objectives and risk appetite.
 </li>
 <li>
 Act as the executive sponsor for strategic digital and innovation initiatives, ensuring business case integrity, delivery assurance, and measurable impact.
 </li>
 <li>
 Establish enterprise-wide digital governance frameworks, including the creation of a Data hub and data management office, transformation standards, and innovation management models to ensure disciplined, scalable, and value-driven execution.
 </li>
 <li>
 Drive enterprise modernization through coordinated digital initiatives that enhance operational efficiency, service quality, customer experience, and new value creation opportunities.
 </li>
 <li>
 Oversee and steer innovation and emerging technology programs to ensure structured experimentation, controlled risk-taking, and scalable adoption of high impact solutions.
 </li>
 <li>
 Ensure effective integration between innovation, architecture, data, and delivery functions to enable smooth transition from concept and pilot to enterprise deployment.
 </li>
 <li>
 Provide the executive leadership with transparent, data driven insights on digital portfolio performance, transformation progress, innovation outcomes, and value realization.
 </li>
 <li>
 Strengthen enterprise digital maturity through capability building, operating model evolution, and adoption of international best practices in digital and innovation governance.
 </li>
 <li>
 Build and maintain strategic partnerships and ecosystem relationships with technology leaders, innovation hubs, startups, academia, and industry bodies to enhance competitive positioning.
 </li>
 <li>
 Ensure that digital transformation initiatives are supported by robust change management, adoption frameworks, and stakeholder engagement models to maximize organizational uptake and benefits realization.
 </li>
 <li>
 Lead and develop the Digital Transformation &amp; Innovation organization to ensure high leadership capability, succession readiness, and sustainable delivery capacity.
 </li>
 <li>
 Govern major digital investment proposals and transformation business cases prior to executive submission.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Information Technology, Engineering, Computer Science, or related field (Master&rsquo;s degree preferred).
 </li>
 <li>
 Demonstrated track record in airport industry digital and technology environments, with strong understanding of airport operations, passenger systems, operational technologies, and aviation ecosystem stakeholders.
 </li>
 <li>
 Proven leadership experience managing large digital portfolios and cross-functional transformation programs in airports.
 </li>
 <li>
 Demonstrated experience leading digital strategy, innovation programs, and enterprise technology modernization initiatives.
 </li>
 <li>
 Experience working with executive leadership and enterprise governance forums.
 </li>
 <li>
 Strong understanding of aviation digital platforms, data ecosystems, enterprise architecture, and emerging technologies.
 </li>
 </ul>
 
 
</div>

VP Digital Transformation & Innovation

Rawaj - Human Capital Management

<div>Leverage your abilities and join the dynamic team of a leading organization operating in the Telecommunications sector in Oman.
The Senior Proficient - Enterprise Risk Management (ERM) is responsible for driving the development, execution, and continuous enhancement of the organization&rsquo;s enterprise risk management framework. The role provides strategic oversight, governance leadership, and executive-level risk insights to ensure alignment with corporate objectives, regulatory expectations, and best-in-class risk management practices.<h2 class="jobSectionHeader">
Key Accountabilities</h2><ul><li>
Lead comprehensive enterprise-wide risk assessments and consolidate risk data into actionable insights for executive leadership.</li><li>
Develop, enhance, and operationalize ERM frameworks, methodologies, and governance structures across the organization.</li><li>
Drive risk ownership across business units by partnering with VPs and risk focal points to ensure timely identification, escalation, and mitigation of strategic and operational risks.</li><li>
Analyze key risk indicators (KRIs) and performance metrics against defined risk appetite and tolerances.</li><li>
Lead the preparation of high-quality ERM reports, dashboards, and board-level presentations, including submissions to executive management and regulatory authorities.</li><li>
Translate complex risk concepts into clear strategic implications for senior leadership and the Audit Committee.</li><li>
Collaborate cross-functionally with Business Continuity, HSE, Corporate Security, IT, and Internal Audit to embed a strong risk-aware culture.</li><li>
Ensure compliance with regulatory requirements and internal governance standards, enhancing transparency and accountability.</li><li>
Strengthen the internal control environment through close coordination with Internal Audit and other assurance functions.</li><li>
Integrate risk governance into business planning, major projects, transformation initiatives, and investment decisions.</li><li>
Contribute to continuous improvement initiatives within the ERM function to align with international best practices.</li></ul><h2 class="jobSectionHeader">
Knowledge, Skills, and Experience</h2>
We Are Looking For: 
 
<ul><li>Bachelor&rsquo;s degree in Risk Management, Finance, Business Administration, Accounting, Engineering, or a related field.</li><li>
Minimum 8 years of experience, with a strong background in enterprise risk management or risk advisory.</li><li>
Mandatory experience within a consulting firm (Risk Advisory / ERM practice).</li><li>
Proven experience in developing and implementing ERM frameworks aligned with international standards (e.g., ISO 31000, COSO).</li><li>
Strong exposure to governance, internal controls, regulatory compliance, and board-level reporting.</li><li>
Solid understanding of IT risk, disaster recovery, and control environments.</li><li>
Demonstrated ability to engage with senior stakeholders and influence risk ownership at leadership levels.</li><li>
Advanced analytical thinking, problem-solving, and reporting capabilities.</li><li>
High level of professional ethics, integrity, and confidentiality.</li><li>
Strong communication and presentation skills with executive presence.</li></ul></div>

Enterprise Risk Management (ERM) - Senior Proficient - Telecommunications | Oman

Adante Realty

Job Description: The Zoho CRM Specialist is responsible for managing, maintaining, and optimizing the CRM system to ensure accurate customer data, effective lead management, and seamless coordination between Sales, Marketing, and Operations. The role supports business growth by enhancing customer experience, improving data integrity, and enabling informed decision-making through CRM insights.Key Responsibilities:<ul><li>Act as the single point of accountability for all CRM-related improvements and issues.</li><li>Own and manage end-to-end Zoho CRM operations.</li><li>Configure, customize, and optimize CRM modules, workflows, automations, and dashboards.</li><li>Ensure CRM data accuracy, governance, and best practices across departments.</li><li>Integrate Zoho CRM with other Zoho applications and relevant third-party tools.</li><li>Generate actionable reports and insights for leadership and business teams.</li><li>Train internal users and provide ongoing CRM support.</li></ul>Required Skill Set:<ul><li>2&ndash;3 years of proven, hands-on experience with Zoho CRM</li><li>Strong expertise in Zoho CRM customization and administration.</li><li>Experience in CRM automation, reporting, and analytics.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you based on Oman?</li><li>What is your notice period?</li><li>How many years of experience do you have with Zoho CRM?</li><li>What is your nationality?</li></ul>

CRM Specialist - Zoho CRM

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Lead Data Governance Engineer

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Enterprise Risk Management (ERM) - Senior Proficient - Telecommunications | Oman

CRM Specialist - Zoho CRM