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data engineer data quality ai readiness

Nordic Holdings

able to join immediatelyRole PurposeThe Data Engineer will be responsible for building, governing, and maintaining high-quality, trusted, and AI-ready data across the organization. The role focuses on data quality management, master data governance, and data engineering foundations required to support analytics, AI initiatives, and ISO-aligned data standards (notably ISO 8000).This role is critical to ensuring that company data is accurate, consistent, complete, secure, and usable across all operational and AI use cases.Key ResponsibilitiesData Engineering &amp; Architecture<ul><li>Design, build, and maintain scalable data pipelines (ETL/ELT) integrating data from PMS, ERP, Finance, HR, CRM, and other enterprise systems.</li><li>Ensure data is structured, standardized, and optimized for analytics, reporting, and AI/ML consumption.</li><li>Support real-time and batch data ingestion architectures.</li></ul>Data Quality Management<ul><li>Define and implement data quality rules, metrics, and controls (accuracy, completeness, consistency, timeliness, validity).</li><li>Monitor, report, and continuously improve data quality across critical datasets.</li><li>Establish automated data validation, profiling, and anomaly detection processes.</li></ul>Master Data Management (MDM)<ul><li>Design and enforce master data models (e.g., guests, vendors, rooms, products, accounts).</li><li>Implement governance workflows for master data creation, change, and approval.</li><li>Ensure consistency of master data across all systems and properties.</li></ul>AI &amp; Analytics Enablement<ul><li>Prepare and curate clean, trusted datasets for AI, automation, and advanced analytics use cases.</li><li>Work closely with AI engineers, automation teams, and business stakeholders to enable data-driven decision making.</li><li>Support data requirements for RAG pipelines, dashboards, and ML models.</li></ul>Standards, Governance &amp; Compliance<ul><li>Lead or support the organization&rsquo;s alignment with ISO 8000 (Data Quality &amp; Master Data Management).</li><li>Define data governance policies, ownership models, and stewardship roles.</li><li>Ensure compliance with Bahrain PDPL, GDPR (where applicable), and internal data governance standards.</li><li>Maintain documentation, data dictionaries, and lineage records.</li></ul>Job Type: Full-time

Data_Engineer/Data_Quality & AI_Readiness

willing to join immediatelyBuild and maintain scalable data pipelines across enterprise systems (PMS, ERP, Finance, HR, etc.)&middot; Define and enforce data quality rules (accuracy, completeness, consistency)&middot; Design and manage master data models and governance workflows&middot; Prepare clean, AI-ready datasets for analytics and automation&middot; Support data governance and ISO 8000 readiness initiativesWhat We&rsquo;re Looking For&middot; 4&ndash;7 years experience in Data Engineering, Data Quality, or Data Governance&middot; Strong SQL and data integration experience&middot; Hands-on exposure to data quality frameworks and MDM concepts&middot; Experience with ETL/ELT pipelines and APIs&middot; ISO 8000, CDMP, or Data Quality certifications are a strong plusJob Type: Full-time

Data Engineer – Data Quality & AI Readiness

DSI WLL

We are seeking an AI Engineer to design, build, and deploy intelligent systems that support real-world business operations. This role goes beyond experimentation&mdash;you will work on production-grade AI solutions that directly impact efficiency, insight, and quality across the organization.You will collaborate closely with leadership, designers, and operations teams to translate ideas into reliable, scalable AI systems.Key Responsibilities<ul><li>Design, develop, and deploy AI/ML models for business and operational use cases</li><li>Build and maintain data pipelines, model training workflows, and inference systems</li><li>Work with structured and unstructured data (text, images, operational data)</li><li>Integrate AI solutions into existing systems (ERP, internal tools, automation pipelines)</li><li>Optimize models for performance, reliability, and cost efficiency</li><li>Monitor, evaluate, and continuously improve deployed models</li><li>Stay current with advancements in AI, ML, and applied intelligence</li></ul>Required Qualifications<ul><li>Strong experience in Python and AI/ML frameworks (TensorFlow, PyTorch, or similar)</li><li>Solid understanding of machine learning, deep learning, and data modeling</li><li>Experience deploying models to production environments</li><li>Familiarity with APIs, microservices, and system integration</li><li>Ability to translate business problems into AI-driven solutions</li><li>Strong analytical thinking and attention to detail</li></ul>Preferred Qualifications<ul><li>Experience with LLMs, NLP, or computer vision</li><li>Experience integrating AI with ERP systems or operational platforms</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure)</li><li>Experience with automation, agents, or decision-support systems</li><li>Background in startup, product-driven, or innovation-focused environments</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>Have you deployed AI/ML models into a production environment used by real users or business operations?</li><li>Which tools or frameworks have you used professionally?</li><li>How many years of hands-on experience do you have building and deploying AI or machine learning models?</li><li>Can you describe a project where you integrated APIs for automation or AI chatbots?</li></ul>

AI Engineer

Sellou

<div>
 About the Job
 
 
 
 
 We are looking for a&nbsp;
 
 Senior Software Engineer
 
 &nbsp;to join our backend team. The ideal candidate is proficient in&nbsp;
 
 TypeScript
 
 , understands&nbsp;
 
 AWS
 
 , and possesses a deep technical curiosity regarding AI backend infrastructure&mdash;from the evolution of MCPs to modern prompt engineering.
 
 
 We need someone with a deep understanding of the&nbsp;
 
 OpenClaw
 
 &nbsp;architecture.
 
 
 
 
 
 You should be adept at navigating complex structural challenges, particularly regarding how systems handle memory and persistent storage.
 
 We want a candidate passionate about OpenClaw is interested in evolving its capabilities.
 
 
 
 
 
 Role &amp; Responsibilities
 
 
 
 <ul>
 <li>
 
 Architect Backend Systems:
 
 &nbsp;Design and maintain robust, scalable, cloud-native backend services using TypeScript.
 </li>
 <li>
 
 OpenClaw Optimization:
 
 &nbsp;Dive deep into the OpenClaw framework to resolve structural bottlenecks and optimize critical components like&nbsp;
 
 heartbeats
 
 .
 </li>
 <li>
 
 Memory Management:
 
 &nbsp;Lead the transition of key data paths from traditional storage to&nbsp;
 
 persistent memory
 
 &nbsp;to drive performance gains.
 </li>
 <li>
 
 Legacy Analysis:
 
 &nbsp;Apply lessons learned from the failure of&nbsp;
 
 MCPs
 
 &nbsp;(Master Control Programs) to ensure our current architecture avoids historical pitfalls.
 </li>
 <li>
 
 Cloud Evolution:
 
 &nbsp;Leverage AWS to build and maintain infrastructure that supports high-concurrency AI workloads.
 </li>
 <li>
 
 AI Integration:
 
 &nbsp;Experiment with and self-host AI tools to optimize internal development workflows and system performance.
 </li>
 </ul>
 
 
 
 Qualifications
 
 
 
 
 We value technical curiosity and a "builder" mindset over a specific checklist of years, but ideally, you bring the following:
 
 <ul>
 <li>
 
 Deep Backend Expertise:
 
 &nbsp;Proven experience building high-performance distributed systems in a cloud environment (Node.js/TypeScript preferred).
 </li>
 <li>
 
 OpenClaw Mastery:
 
 &nbsp;
 
 Significant experience with OpenClaw, specifically regarding its memory management and structural architecture.
 
 </li>
 <li>
 
 Historical Context:
 
 &nbsp;A strong understanding of the evolution of MCPs, why they failed, and how to apply those lessons to modern systems.
 </li>
 <li>
 
 Systems Optimization:
 
 &nbsp;Experience optimizing low-latency components and moving data across the storage hierarchy (Storage &rarr; Persistent Memory).
 </li>
 <li>
 
 Cloud Proficiency:
 
 &nbsp;Advanced knowledge of&nbsp;
 
 AWS
 
 &nbsp;(EC2, S3, RDS, Lambda) or a demonstrated ability to master complex cloud stacks rapidly.
 </li>
 <li>
 
 AI/LLM Curiosity:
 
 &nbsp;A track record of experimenting with AI tools, such as self-hosting local models or using AI to automate system optimizations.
 </li>
 <li>
 
 Problem Solver:
 
 &nbsp;A "tinkerer" spirit&mdash;someone who runs a home lab or contributes to open-source projects in their spare time.
 </li>
 </ul>
</div>

Full Stack Developer - OpenClaw

Almoayyed International Group - Kingdom of Bahrain

Job Description&middot; The Data Center Infrastructure Engineer &ndash; Project Execution is responsible for overseeing the installation, commissioning, and maintenance of data center infrastructure during project execution.&middot; The role ensures that all civil, electrical, mechanical, and IT-related systems are implemented according to design specifications, industry standards, and project timelines.&middot; The engineer will coordinate with internal teams, contractors, and vendors to ensure smooth execution and high-quality delivery of data center infrastructure.Competency Skills&middot; Supervise the installation of data center infrastructure, including racks, cabling (fiber and copper), power systems, cooling systems, and fire suppression systems.&middot; Ensure all works are carried out according to design drawings, specifications, and industry standards.&middot; Monitor and report project progress, risks, and issues to project management.&middot; Coordinate with contractors, vendors, and internal teams to ensure timely delivery of materials and services. Conduct quality inspections, testing, and commissioning of systems before handover.&middot; Ensure compliance with safety standards, data center operational policies, and regulatory requirements.&middot; Maintain accurate documentation of installation works, as-built drawings, and technical reports.&middot; Support troubleshooting and resolution of technical issues during installation and commissioning phases.Job Type: Full-time

Data Center Infrastructure – Project Execution

Cinqo Trading

Job DescriptionDigital Transformation, AI &amp; Automation AssociateRole OverviewCinqo Holding is hiring a Digital Transformation, AI &amp; Automation Associate to drive group-wide modernization of processes, systems, and decision-making.This is an execution-led role. The mandate is to identify inefficiencies, redesign workflows, and deploy AI and digital solutions that deliver measurable operational impact.Core MandateDigitally transform Company&rsquo;s operations by replacing manual and fragmented processes with digital, system-driven workflows; deploying AI solutions that reduce human dependency and improve speed and accuracy; and establishing data discipline, governance, and scalable operating standards.The objective is control, visibility, and scalability across all group companies.Key Responsibilities - Digital TransformationReview and redesign end-to-end workflows across finance, procurement, sales operations, inventory, logistics, HR, and administration. Standardize processes and approval structures across the group, and define and implement digital SOPs, controls, and operating policies.AI Solutions DeploymentIdentify business problems suitable for AI intervention and automation. Design, build, and deploy AI-driven solutions aligned with operational realities. Integrate AI tools into existing systems and workflows, ensure reliability, security, explainability, and user adoption, and continuously improve and scale deployed solutions based on performance and feedback.Systems &amp; Data EnablementWork with existing ERP, CRM, and business platforms. Integrate systems using APIs, automation tools, or scripting where required. Establish structured data flows, eliminate redundant manual reporting, and build dashboards and automated insights for management decision-making.Adoption &amp; GovernanceWork directly with department heads and operational teams. Drive user adoption through training and practical support, monitor usage and impact, enforce digital policies, and decommission tools or processes that do not deliver measurable value.RequirementsMust-have:<ul><li>0&ndash;4 years of experience or an exceptional fresh graduate</li><li>Strong analytical, logical, and process-oriented thinking</li><li>Hands-on exposure to AI tools, automation platforms, or digital workflows</li><li>Comfortable working with data and cross-functional stakeholders</li><li>Able to operate independently and take ownership</li></ul>Preferred:<ul><li>Experience with ERP or CRM systems (Zoho experience is a strong advantage)</li><li>Basic scripting or technical problem-solving capability</li><li>Background in engineering, MIS, computer science, data analytics, or similar fields</li></ul>Performance Expectations (First 12 Months)Multiple AI-enabled and digital transformation initiatives deployed across group companies, measurable reduction in manual effort and operational turnaround times, improved data visibility, accuracy, and management control, digital SOPs and standards adopted and enforced, and solutions embedded into daily operations and actively used.Career ProgressionDigital Transformation Manager, Group AI &amp; Systems Lead, or Group Operations &amp; Process Excellence Head. Progression is performance-based.CompensationCompetitive and aligned with experience, with direct exposure to senior leadership and accelerated growth.Job Type: Full-time

Digital Transformation, AI & Automation Associate

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the 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 75+ 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.
 
 
 This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.
 
 
 Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.
 
 
 We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.
 
 
 Location: This role will be based remotely in the EMEA region.
 
 
 What your day will look like
 
 
 <ul>
 <li>
 Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments.
 </li>
 <li>
 Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang.
 </li>
 <li>
 Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity.
 </li>
 <li>
 Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers.
 </li>
 <li>
 Lead the design, implementation, and optimization of new features&mdash;taking projects from spec to production, ensuring operational excellence at scale.
 </li>
 <li>
 Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence.
 </li>
 <li>
 Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders.
 </li>
 <li>
 Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability.
 </li>
 <li>
 You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments&mdash;secure connectivity, data streaming, governance, and compliance.
 </li>
 <li>
 You bring proven expertise in designing and optimizing systems using:
 </li>
 <ul>
 <li>
 IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling.
 </li>
 <li>
 Ability to design decentralized data ownership models, ensuring interoperability and governance across domains.
 </li>
 <li>
 Designing high-throughput, low-latency systems for IoT data processing.
 </li>
 <li>
 Data streaming technologies (MQTT, Kafka, RabbitMQ)
 </li>
 <li>
 Observability tools (OpenTelemetry)
 </li>
 <li>
 Industrial/engineering data exchange protocols (OPC-UA, ModBus)
 </li>
 </ul>
 <li>
 You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives.
 </li>
 <li>
 You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing.
 </li>
 <li>
 You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape.
 </li>
 <li>
 You are familiar with Ubuntu as a development and deployment platform.
 </li>
 <li>
 You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field.
 </li>
 <li>
 Willingness to travel up to 4 times a year for internal events.
 
 </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>
 Team Member Assistance Program &amp; Wellness Platform
 </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 our 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>

IoT Data Engineer

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