planning engineer

sales engineer

technical engineer

business analyst

field engineer

data engineer

Codvo.ai

<div><div><div>Job Description:
Data Engineer &ndash; Databricks 
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. 
Role Overview
We are looking for a highly skilled Data Engineer a deep understanding of asset-heavy industries such as oil &amp; gas, manufacturing, or utilities and expertise in Databricks to design, develop, and optimize end-to-end data pipelines, data platforms, and analytics solutions. This role combines strong data engineering, cloud platform expertise, and software engineering skills to deliver scalable, production-grade solutions. 
Key Responsibilities<ul><li>
Design and develop ETL/ELT pipelines on Databricks (PySpark, Delta Lake, SQL).</li><li>
Architect data models (batch and streaming) for analytics, ML, and reporting.</li><li>
Optimize performance of large-scale distributed data processing jobs.</li><li>
Implement CI/CD pipelines for Databricks workflows using GitHub Actions, Azure DevOps, or similar.</li><li>
Build and maintain APIs, dashboards, or applications that consume processed data (full-stack aspect).</li><li>
Collaborate with data scientists, analysts, and business stakeholders to deliver solutions.</li><li>
Ensure data quality, lineage, governance, and security compliance.</li></ul> 
Required Skills &amp; Qualifications<ul><li>
Core Databricks Skills:</li><li>
Strong in PySpark, Delta Lake, Databricks SQL.</li><li>
Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables.</li><li>
Programming &amp; Full Stack:</li><li>
Python (mandatory), SQL (expert).</li><li>
Exposure to Java/Scala (for Spark jobs).</li><li>
Knowledge of APIs, microservices (FastAPI/Flask), or basic front-end (React/Angular) is a plus.</li><li>
Cloud Platforms:</li><li>
Proficiency with at least one: Azure Databricks, AWS Databricks, or GCP Databricks.</li><li>
Knowledge of cloud storage (ADLS, S3, GCS), IAM, networking.</li><li>
DevOps &amp; CI/CD:</li><li>
Git, CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).</li><li>
Containerization (Docker, Kubernetes is a plus).</li><li>
Data Engineering Foundations:</li><li>
Data modeling (OLTP/OLAP).</li><li>
Batch &amp; streaming data processing (Kafka, Event Hub, Kinesis).</li><li>
Data governance &amp; compliance (Unity Catalog, Lakehouse security).</li></ul> 
Nice-to-Have<ul><li>
Experience with machine learning pipelines (MLflow, Feature Store).</li><li>
Knowledge of data visualization tools (Power BI, Tableau, Looker).</li><li>
Exposure to Graph databases (Neo4j) or RAG/LLM pipelines.</li></ul> 
Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, or related field.</li><li>
4&ndash;7 years of experience in data engineering, with at least 2 years on Databricks.</li><li>
2+ years of experience in asset-heavy industries (e.g., oil &amp; gas, utilities, manufacturing).</li></ul> 
Soft Skills<ul><li>
Strong problem-solving and analytical skills.</li><li>
Ability to work in fusion teams (business + engineering + AI/ML).</li><li>
Clear communication and documentation abilities.</li></ul> 
Domain - Oil &amp; Gas
Location - Doha, Qatar</div></div></div>

Databricks Engineer (Doha, Qatar)

<div><div><div><div>At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.</div><div>
About the Role</div><div>
We are seeking a highly skilled and experienced Senior AI Engineer a deep understanding of asset-heavy industries such as oil &amp; gas, manufacturing, or utilities to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions. 
You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems.</div><div>
Responsibilities</div><div>
Generative AI Pipeline Development</div><ul><li><ul><li>Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads.</li><li>Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs.</li><li>Build CI/CD pipelines with integrated prompt regression testing and version control.</li><li>Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows.</li><li>Monitor system performance using tools like Langfuse or Prometheus.</li></ul></li></ul><div>
Data and Document Ingestion</div><ul><li><ul><li>Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data.</li><li>Apply preprocessing pipelines for text, images, and code.</li><li>Ensure data integrity, format consistency, and security across sources.</li></ul></li></ul><div>
AI Service Integration</div><ul><li><ul><li>Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.).</li><li>Build internal APIs for smooth backend-AI communication.</li><li>Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets.</li><li>Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy.</li></ul></li></ul><div>
Retrieval-Augmented Generation (RAG) Pipelines</div><ul><li><ul><li>Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API).</li><li>Design custom retrieval strategies for multi-modal or multi-source documents.</li><li>Apply post-retrieval ranking using DPO or feedback-based techniques.</li><li>Improve contextual relevance through re-ranking, chunk merging, and scoring logic.</li></ul></li></ul><div>
LLM Integration and Optimization</div><ul><li><ul><li>Manage prompt engineering, model interaction, and tuning workflows.</li><li>Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design.</li><li>Optimize generation using temperature tuning, token limits, and speculative decoding.</li><li>Integrate observability and cost-monitoring into LLM workflows.</li></ul></li></ul><div>
Backend Services Ownership</div><ul><li><ul><li>Design and maintain scalable backend services supporting GenAI applications.</li><li>Implement monitoring, logging, and performance tracing.</li><li>Build RBAC (Role-Based Access Control) and multi-tenant personalization.</li><li>Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production.</li></ul></li></ul><div>
Required Skills and Qualifications</div><div>
Education</div><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, or related field.</li></ul><div>
Experience</div><ul><li><ul><li>5+ years of experience in AI/ML engineering with end-to-end pipeline development.</li><li>Hands-on experience building and deploying LLM/RAG systems in production.</li><li>Strong experience with public cloud platforms (AWS, Azure, or GCP).</li></ul></li><li>
2+ years of experience in asset-heavy industries (e.g., oil &amp; gas, utilities, manufacturing).</li></ul><div>
Technical Skills</div><ul><li><ul><li>Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch.</li><li>Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph.</li><li>Experience with RESTful API development and version control using Git.</li><li>Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval.</li><li>Familiarity with Docker, Kubernetes, and scalable microservice design.</li><li>Experience with observability tools like Prometheus, Grafana, or Langfuse.</li></ul></li></ul><div>
Generative AI Specific Skills</div><ul><li><ul><li>Knowledge of LLMs, VAEs, Diffusion Models, GANs.</li><li>Experience building structured + unstructured RAG pipelines.</li><li>Prompt engineering with safety controls, schema enforcement, and hallucination mitigation.</li><li>Experience with prompt testing, caching strategies, output filtering, and fallback logic.</li><li>Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods.</li></ul></li></ul><div>
Soft Skills</div><ul><li><ul><li>Strong analytical, problem-solving, and debugging skills.</li><li>Excellent collaboration with cross-functional teams: product, QA, and DevOps.</li><li>Ability to work in fast-paced, agile environments and deliver production-grade solutions.</li><li>Clear communication and strong documentation practices.</li></ul></li></ul><div>
Preferred Qualifications</div><ul><li><ul><li>Experience with OCR, document parsing, and layout-aware chunking.</li><li>Hands-on with MLOps and LLMOps tools for Generative AI.</li><li>Contributions to open-source GenAI or AI infrastructure projects.</li><li>Knowledge of GenAI governance, ethical deployment, and usage controls.</li><li>Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI.</li></ul></li></ul></div></div></div>

AI Lead (Doha , Qatar)

Artefact

<div>
 
 
 About us:
 
 
 
 Artefact is a global services company that sits at the intersection of consulting, data science, AI technologies and marketing. Our 1700+ people break Business and Tech silos and transform organizations into consumer-centric leaders using digital, data and AI.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Data Quality Analysis &amp; Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis
 </li>
 <li>
 Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like
 
 Power BI
 
 to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Strong proficiency in data analysis tools and languages, particularly
 
 SQL
 
 for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R&rsquo;s tidyverse) is highly valuable.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary &ndash; beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Familiarity with business intelligence and visualization tools, especially
 
 Power BI
 
 , to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Excellent communication skills, both written and verbal, with the ability to explain data findings in layman&rsquo;s terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.
 </li>
 </ul>
 
 
</div>

Data Scientist

Palantir Technologies

<div>
 
 A World-Changing Company
 
 
 
 Palantir builds the world&rsquo;s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.
 
 
 
 The Role
 
 
 
 Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir&rsquo;s platforms for some of their most critical operations, and projects often start with an open ended question like &ldquo;Why are we delaying so many flights?&rdquo; or &ldquo;How can we better identify instances of money laundering?&rdquo; As an FDSE, you&rsquo;ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You&rsquo;ll have the opportunity to gain rare insight into and contribute to some of the world&rsquo;s most important industries and institutions.
 
 
 As an FDSE, your responsibilities look similar to those of a startup CTO: you&rsquo;ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team.
 
 
 Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place &mdash; with the best colleagues &mdash; to learn how. You&rsquo;ll learn how to unpack a problem and understand the costs and consequences of its solution. You&rsquo;ll learn new technologies and languages, and even develop them yourself. You&rsquo;ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Impact: We take on meaningful and challenging projects that change the world for the better.
 </li>
 <li>
 Ownership: We see projects through from beginning to end, working through any obstacles we may encounter.
 </li>
 <li>
 Collaboration: We work internally with people from a variety of backgrounds &mdash; such as other FDSEs, product teams, and Deployment Strategists. We also work externally with our customers, often on site, to understand and solve their problems.
 </li>
 <li>
 Trust: We trust each other to effectively manage time and priorities and give people the space to think for themselves.
 </li>
 <li>
 Growth: We encourage ourselves and our peers to seek new challenges and opportunities for growth, as well as find new ways to innovate and share knowledge.
 </li>
 <li>
 Learning: We often face entirely novel problems where we need to pick up a lot of new knowledge and learn how to use it to make progress. We believe experiential learning is one of the best teachers.
 
 
 </li>
 </ul>
 
 What We Value
 
 
 
 <ul>
 <li>
 Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.
 </li>
 <li>
 A highly analytical mindset and eagerness to solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
 </li>
 <li>
 Experience or interest in working with and using large scale data to solve valuable business problems.
 </li>
 <li>
 Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar.
 </li>
 <li>
 Demonstrated ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and iteration with users.
 </li>
 <li>
 Ability to continuously learn, work independently, and make decisions with minimal supervision.
 </li>
 <li>
 Willingness and interest to travel as needed to client sites. Ability to travel 25-50% preferred, but may vary by team and location.
 
 
 </li>
 </ul>
 
 Life at Palantir
 
 
 
 We want every Palantirian to achieve their best outcomes, that&rsquo;s why we celebrate individuals&rsquo; strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians&rsquo; lives is just one of the ways we&rsquo;re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region.
 
 
 In keeping consistent with Palantir&rsquo;s values and culture, we believe employees are &ldquo;better together&rdquo; and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for &ldquo;Remote&rdquo; work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office.
 
 
 If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process
 
 ,
 
 please reach out and let us know how we can help.
</div>

Forward Deployed Software Engineer

GE Aerospace

<div>
 
 Job Description Summary
 
 
 
 
 Job Description
 
 
 
 
 Company Overview
 
 
 
 Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
 
 
 
 Site Overview
 
 
 
 We serve regional customers with our "Two sites, one team" approach, operating from OWS Doha and Dubai. We have exciting growth plans for the upcoming years and are committed to excellence in everything we do. Our team is diverse, with more than 20 different nationalities, and we celebrate different perspectives and backgrounds, which contribute to innovative solutions and a dynamic workplace. Join us and be part of a team that is dedicated to making a difference in the aerospace industry.
 
 
 
 Role Overview
 
 
 
 Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
 
 
 At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
 
 
 What You will Do
 
 
 <ul>
 <li>
 Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
 </li>
 <li>
 Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
 </li>
 <li>
 Build and present product architectures, write technical code, and demo applications to stakeholders.
 </li>
 <li>
 Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
 </li>
 <li>
 Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
 </li>
 <li>
 Use your strengths to support team members and build cross-functional relationships across the company.
 </li>
 <li>
 Work to ship solutions to production that meet business needs and drive impact.
 
 
 </li>
 </ul>
 Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
 </li>
 <li>
 Minimum 3.7 cumulative GPA off a 4.0 scale without rounding
 </li>
 <li>
 Strong academic performance in Computer Science or other STEM disciplines
 </li>
 <li>
 Experience designing AI solutions and architecting distributed data systems
 </li>
 <li>
 Proficiency in programming and debugging with Python, C#, C++, and SQL
 </li>
 <li>
 Customer-centric mindset with ability to lead design thinking workshops
 </li>
 <li>
 Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision
 </li>
 <li>
 Experience building solutions using public cloud platforms such as AWS or Azure
 </li>
 <li>
 Preferred but not required: AWS and/or Azure certification
 </li>
 <li>
 No prior work experience required
 
 
 </li>
 </ul>
 
 About The Internship
 
 
 
 <ul>
 <li>
 Winter Full-time (5 weeks) + Spring Part-time (12 weeks)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Paid Internship
 </li>
 <li>
 Travel Opportunities
 </li>
 <li>
 Real-world project ownership
 </li>
 <li>
 Mentorship from experienced engineers
 </li>
 <li>
 Opportunity for return offers
 
 
 </li>
 </ul>
 At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 Relocation Assistance Provided:
 
 No
</div>

Artificial Intelligence Intern

Cartafella Analytics

We are looking for DLP Resident Engineer for Qatar location.If you are available, please send your cv immediately.Job Description:Key responsibilities <ul><li>Forcepoint DLP</li><li>Deploy, configure, and manage Forcepoint DLP solutions for endpoints, networks, email, and cloud applications.</li><li>Develop and fine-tune DLP policies for sensitive data (PII, PCI, HIPAA, GDPR, etc.).</li><li>Monitor incidents and generate compliance reports for stakeholders.</li><li>Conduct root cause analysis on DLP violations and recommend remediation steps.</li><li>Get Visibility (Data Classification)</li><li>Implement and manage Get Visibility for automated discovery and classification of sensitive data across structured/unstructured sources.</li><li>Integrate classification policies with DLP to enforce protection measures.</li><li>Provide real-time insights on data flow, asset inventory, and user behavior.</li><li>Generate dashboards and reports to improve decision-making and compliance posture.</li><li>Operational Excellence</li><li>Work with business units to identify critical data and define classification levels.</li><li>Provide advanced troubleshooting and L2/L3 support for DLP and classification incidents.</li><li>Support audits, regulatory requirements, and data governance programs.</li><li>Collaborate with SIEM/SOAR teams to enrich incident response with DLP and classification data.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Security, or related field.</li><li>Forcepoint DLP Certified Professional/Engineer (FCSE &ndash; DLP).</li><li>Get Visibility Certified Engineer (GVCE) certification (or proven hands-on project experience).</li><li>At least 5 years of experience with enterprise DLP solutions and data classification projects.</li><li>Strong knowledge of:</li><li>Forcepoint DLP policy creation, tuning, and incident management.</li><li>Data classification methodologies and integration with DLP.</li><li>Regulatory compliance frameworks (GDPR, HIPAA, PCI DSS, ISO 27001).</li><li>Hands-on experience with endpoint DLP, network monitoring, and cloud app controls.</li></ul>Preferred Skills<ul><li>Knowledge of advanced data discovery (structured/unstructured, databases, file shares, cloud storage).</li><li>Familiarity with SIEM platforms (Splunk, QRadar, ArcSight) for DLP integration.</li><li>Scripting/automation for incident handling (Python, PowerShell).</li><li>Experience in managed security services or consulting engagements.</li></ul>Job Type: Full-timePay: QAR10,000.00 - QAR16,000.00 per monthExperience:<ul><li>Forcepoint DLP : 3 years (Preferred)</li><li>Get Visibility (Data Classification) : 2 years (Preferred)</li><li>Data classification methodologies : 1 year (Preferred)</li></ul>

DLP Resident Engineer for Qatar

Lana Al Arab Contracting

Instrumentation and Control Engineer<ul><li>B. Sc Engineering , preferably in Instrumentation</li><li>5 Years of Experience</li><li>Candidate should have experience in interpret loop diagrams, wiring diagrams, and technical specifications</li><li>Familiarity with control systems, such as PLCs (Programmable Logic Controllers) and SCADA (Supervisory Control and Data Acquisition) systems</li><li>Duration: 4 Months</li><li>Location: Doha, Qatar</li><li>Candidates must be in Qatar with a valid QID</li></ul>Job Type: Temporary Contract length: 1 monthApplication Question(s):<ul><li>Have you worked in Water Treatment / Desalination Plants project?</li><li>Are you ready to work for 4 months project?</li><li>Are you available to join immediately?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Instrumentation and Control Engineer: 5 years (Required)</li></ul>

Instrumentation and Control Engineer

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