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data engineer

Zones IT Solutions

<div>
 
 Description
 
 
 
 Company Overview:
 
 
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 
 
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 
 
 Position Overview
 
 
 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
 
 
 
 What You&rsquo;ll Do As The Data Engineer
 
 
 
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 
 
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
 </li>
 <li>
 Develop transformation workflows in Azure Databricks.
 </li>
 <li>
 Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
 </li>
 <li>
 Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
 </li>
 <li>
 Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
 </li>
 <li>
 Ensure data security and governance, including PII handling, access policies, and Key Vault.
 </li>
 <li>
 Collaborate with application and integration engineers on API-driven and event-driven data requirements.
 </li>
 <li>
 Support Power BI at a basic level (datasets, model optimization, refresh schedules)
 
 
 </li>
 </ul>
 
 What You Will Bring To The Team
 
 
 
 <ul>
 <li>
 Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Azure Data Factory (ADF)
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure SQL
 </li>
 </ul>
 <li>
 Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
 </li>
 <li>
 Comfortable integrating with APIs, Logic Apps, and Function Apps.
 </li>
 <li>
 Working knowledge of Power BI datasets and refresh management.
 </li>
 <li>
 Clear communication skills and the ability to work independently and cross-functionally.
 
 </li>
 </ul>
 Zones offers a comprehensive Benefits package
 
 
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 
 
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 
 
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 
 
 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
 
 
</div>

Data Engineer

NorthBay Solutions

<div>
 &nbsp;
 
 
 
 
 
 
 
 Job Title:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineer (Snowflake)
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 Hybrid - Lahore, Karachi, Islamabad
 
 
 
 
 
 
 
 
 
 
 
 
 
 Experience:
 
 
 
 
 
 
 
 
 
 
 
 
 6-8 years (Minimum 4-6 years of Snowflake experience)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Category:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineering
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Database Design &amp; Development:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Utilize Snowflake to design, develop, and optimize data architecture.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Work with PostgreSQL and other databases to manage and manipulate data.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Lead conversion projects from SQL-based platforms to Snowflake.
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Programming &amp; Scripting:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Develop robust applications and scripts using C#, Java, and Python, or other relevant technologies.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Write efficient Snowflake functions and stored procedures using JavaScript.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement big data solutions using Spark and PySpark (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Cloud Integration:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Implement data storage solutions using Amazon S3 (AWS).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Integrate and manage data pipelines using AWS Glue (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Utilize AWS Lambda for serverless computing (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to cloud data strategies involving GCP (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Additional Database Management:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Work with Aurora and MSSQL for various data management tasks (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Languages:
 
 
 
 
 
 
 
 
 
 
 
 
 C#, Java, Python, or other relevant technologies
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Snowflake (Design, Develop), PostgreSQL
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 Amazon S3 (AWS)
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Scripting:
 
 
 
 
 
 
 
 
 
 
 
 
 JavaScript (for Snowflake functions and stored procedures)
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Big Data Technologies:
 
 
 
 
 
 
 
 
 
 
 
 
 Spark, PySpark
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 AWS Glue, AWS Lambda, GCP
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Aurora, MSSQL
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Conversion:
 
 
 
 
 
 
 
 
 
 
 
 
 SQL to Snowflake code conversion
 
 
 
 
 
 
</div>

Data Engineer(Snow Flake)

Datamatics Global Services Ltd

<div>Job Title: Data Integration / ETL Developer (Oracle Cloud Data Integration) 
Location: Offshore 
Experience: 5+ Years<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced Data Integration / ETL Developer responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
The role requires strong expertise in Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms, along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration.</li><li>
Design and implement ETL workflows to extract, transform, and load data into the analytics data layer.</li><li>
Build and maintain data mappings and transformation logic to support business reporting requirements.</li><li>
Support data preparation, cleansing, and dataset creation for dashboards and analytics solutions.</li><li>
Troubleshoot and resolve data pipeline issues, failures, and data availability problems.</li><li>
Collaborate with BI developers and analysts to ensure data structures support reporting and dashboard requirements.</li><li>
Optimize ETL pipelines for performance, reliability, and scalability.</li><li>
Ensure proper documentation of data pipelines, mappings, and transformation rules.</li><li>
Follow data governance and best practices for data integration and quality management.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Hands-on experience with Oracle Cloud Data Integration (OCI DI) or similar ETL tools.</li><li>
Strong proficiency in SQL and data transformation techniques.</li><li>
Experience designing and developing ETL pipelines for analytics and reporting solutions.</li><li>
Knowledge of data modelling concepts and data warehousing principles.</li><li>
Ability to work with large datasets and complex data transformation logic.</li><li>
Strong troubleshooting and problem-solving skills.</li><li>
Good collaboration skills to work with BI developers, analysts, and data teams.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud-based data platforms and analytics environments.</li><li>
Familiarity with data warehousing architectures such as star schema and dimensional modelling.</li><li>
Exposure to Agile or iterative data engineering development practices.</li></ul>
FOR9I6v9Ja</div>

Data Integration / ETL Developer (Oracle Cloud Data Integration)

Try Soft Ai

Try Soft AI is looking for a highly skilled AI Engineer with strong experience in AI Automation and Generative AI technologies to join our growing engineering team. The ideal candidate will have hands-on experience building AI-powered automation systems, AI agents, and voice AI solutions.Location: DHA Phase 2, Islamabad, Pakistan Job Type: Full-Time (Onsite) Working Hours: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time) Department: Artificial Intelligence / Automation EngineeringAbout the RoleWe are looking for a highly skilled AI Engineer with strong experience in AI Automation, LLM integrations, and workflow automation. The ideal candidate will design, develop, and deploy intelligent systems that automate business processes using AI models, APIs, and automation platforms.This role requires deep expertise in Generative AI, AI agents, API integrations, and automation pipelines. The engineer will work closely with product, engineering, and operations teams to build scalable AI-powered automation solutions for internal and client-facing applications.Key ResponsibilitiesAI Automation Development<ul><li>Design and develop AI-powered automation systems that streamline business workflows and operational processes.</li><li>Build AI agents, voice agents, and conversational assistants using LLMs and AI APIs.</li><li>Implement AI-driven automation pipelines for tasks such as lead qualification, customer support, appointment booking, and data processing.</li><li>Integrate AI models into production environments using APIs and microservices architecture.</li></ul>Generative AI &amp; LLM Implementation<ul><li>Develop applications using Large Language Models (LLMs) such as OpenAI GPT models, Claude, or similar AI platforms.</li><li>Design prompt engineering strategies to optimize LLM performance.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.</li><li>Build AI copilots, chatbots, and decision support systems.</li></ul>Automation &amp; Integration<ul><li>Develop advanced automation workflows using tools such as:</li><li>Make.com</li><li>Zapier</li><li>n8n</li><li>LangChain</li><li>LlamaIndex</li><li>Integrate AI systems with:</li><li>CRM platforms</li><li>Databases</li><li>SaaS products</li><li>Web applications</li><li>Third-party APIs</li></ul>Voice AI &amp; Conversational Systems<ul><li>Develop AI voice agents and voice-based automation systems.</li><li>Integrate platforms such as:</li><li>Vapi.ai</li><li>Twilio</li><li>ElevenLabs</li><li>Speech-to-Text and Text-to-Speech engines</li><li>Implement real-time conversational AI systems for customer interactions.</li></ul>Backend Development &amp; API Engineering<ul><li>Design and implement RESTful APIs and AI microservices.</li><li>Integrate AI services into web and mobile applications.</li><li>Ensure scalability, reliability, and security of AI automation systems.</li></ul>Data &amp; Model Integration<ul><li>Work with structured and unstructured data sources.</li><li>Implement vector search and embeddings using vector databases such as:</li><li>Pinecone</li><li>Weaviate</li><li>FAISS</li><li>ChromaDB</li><li>Optimize AI models for performance and cost efficiency.</li></ul>Monitoring &amp; Optimization<ul><li>Monitor AI system performance and improve model outputs.</li><li>Implement logging, error handling, and retry mechanisms for automation workflows.</li><li>Continuously optimize AI workflows for accuracy, reliability, and efficiency.</li></ul>Required Technical SkillsProgramming Languages<ul><li>Python (Highly preferred)</li><li>JavaScript / Node.js</li><li>TypeScript</li></ul>AI &amp; Machine Learning<ul><li>Generative AI</li><li>LLM Applications</li><li>Prompt Engineering</li><li>Retrieval-Augmented Generation (RAG)</li><li>AI Agents &amp; Autonomous Workflows</li></ul>AI Frameworks<ul><li>LangChain</li><li>LlamaIndex</li><li>OpenAI API</li><li>HuggingFace</li><li>Transformers</li></ul>Automation Platforms<ul><li>Make.com</li><li>Zapier</li><li>n8n</li><li>Custom automation frameworks</li></ul>Voice AI Technologies<ul><li>Vapi.ai</li><li>Twilio Voice / SMS APIs</li><li>ElevenLabs</li><li>Speech-to-Text &amp; Text-to-Speech systems</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Redis</li><li>Vector Databases (Pinecone, Weaviate, FAISS, Chroma)</li></ul>Cloud Platforms<ul><li>AWS / GCP / Azure</li><li>Docker</li><li>Serverless architectures</li></ul>Other Technical Skills<ul><li>REST APIs &amp; Webhooks</li><li>OAuth &amp; API authentication</li><li>Git / Version Control</li><li>CI/CD pipelines</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.</li><li>3+ years of experience in software development with exposure to AI technologies.</li><li>1&ndash;2+ years of hands-on experience building AI automation solutions.</li><li>Experience deploying AI-powered applications in production environments.</li><li>Excellent communication and collaboration skills. (MUST)</li></ul>Preferred Experience<ul><li>Experience building AI voice assistants or AI call agents.</li><li>Experience working with SaaS automation products.</li><li>Experience integrating AI systems with CRM platforms.</li><li>Experience in startup or fast-paced product environments.</li><li>Knowledge of AI security, privacy, and model governance.</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to design scalable automation architectures.</li><li>Excellent communication and collaboration skills. (MUST)</li><li>Ability to work independently during night shift operations.</li></ul>Work Environment<ul><li>Onsite role based in DHA Phase 2, Islamabad.</li><li>Night shift: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time).</li><li>Opportunity to work on cutting-edge AI automation and voice AI technologies.</li></ul>Work Location: In person

AI Engineer – AI Automation (Night Shift)

Sofnix(SMC-Private) Limited

JOB SUMMARYAssociate Engineer Machine Learning will help in discovering the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Must be able to extract features, select features, code, train model, validate and evaluate the models.MAIN TASKS AND RESPONSIBILITIES&middot; Selecting features, building and optimizing classifiers using machine learning techniques&middot; Data mining or extracting usable data from valuable data sources.&middot; Carrying out preprocessing of structured and unstructured data&middot; Enhancing data collection procedures to include all relevant information for developing analytic systems&middot; Processing, cleansing, and validating the integrity of data to be used for analysis.&middot; Analyzing large amounts of information to find patterns and solutions.&middot; Developing prediction systems and machine learning algorithms&middot; Propose solutions and strategies to tackle business challenges.&middot; Data mining using state-of-the-art methods.&middot; Doing ad-hoc analysis and presenting results in a clear manner&middot; Creating automated anomaly detection systems and constant tracking of its performanceMINIMUM QUALIFICATIONS&middot; 2+ years of Python development experience&middot; 2+ years of SQL experience (No-SQL experience is a plus)&middot; Proven Experience as Data Analyst or Data Scientist&middot; Must have knowledge of NLP modelling techniques, with a firm grasp of the mechanics of modelling methods&middot; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.&middot; Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.&middot; Data Wrangling &ndash; proficiency in handling imperfections in data&middot; Excellent Communication Skills&middot; Strong Software Engineering Background&middot; Hands-on experience with data science tools&middot; Problem-solving aptitude&middot; Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.&middot; Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc&middot; Degree in Computer Science, Data Science or relevant field is preferred.Work Location: In person

Engineer Machine

Systems Limited

<div>
 
 
 Experience required:
 
 5-8 Years
 
 
 
 Location
 
 : Islamabad
 
 
 
 
 
 Systems Limited is seeking a highly motivated
 
 AI Engineer
 
 to join our team in Islamabad. This role will be responsible for driving the implementation and ongoing management of the
 
 AI Management System (AIMS)
 
 in alignment with
 
 ISO/IEC 42001
 
 , while establishing strong AI governance, risk management, and compliance practices across the organization.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1. ISO/IEC 42001 Implementation &amp; Management
 
 
 <ul>
 <li>
 Lead the implementation and certification of
 
 ISO/IEC 42001 (AI Management System &ndash; AIMS)
 
 .
 </li>
 <li>
 Develop, implement, and maintain the organization&rsquo;s AI Management System.
 </li>
 <li>
 Establish policies, procedures, and documentation aligned with ISO 42001 requirements.
 </li>
 <li>
 Coordinate internal and external audits and act as the primary point of contact for auditors.
 </li>
 <li>
 Track, manage, and close audit findings through effective corrective and preventive actions.
 </li>
 <li>
 Ensure ongoing compliance through regular monitoring, reviews, and continuous improvement initiatives.
 </li>
 </ul>
 
 
 2. AI Governance &amp; Policy Framework
 
 
 <ul>
 <li>
 Design and implement the organization&rsquo;s
 
 AI governance framework
 
 , including policies, standards, and guidelines.
 </li>
 <li>
 Define acceptable and prohibited AI use cases across business functions.
 </li>
 <li>
 Develop AI usage guidelines and best practices for internal teams.
 </li>
 <li>
 Ensure alignment with
 
 data protection, privacy, and information security policies
 
 .
 </li>
 <li>
 Maintain an inventory of AI systems and ensure proper classification and documentation.
 </li>
 </ul>
 
 
 3. AI Risk Management &amp; Impact Assessments
 
 
 <ul>
 <li>
 Conduct and maintain
 
 AI Impact Assessments (AIIA)
 
 for AI systems and use cases.
 </li>
 <li>
 Identify and evaluate risks related to:
 </li>
 <li>
 Bias and fairness
 </li>
 <li>
 Privacy and data protection
 </li>
 <li>
 Security vulnerabilities
 </li>
 <li>
 Model reliability and performance
 </li>
 <li>
 Ethical considerations
 </li>
 <li>
 Maintain AI risk registers and define mitigation strategies.
 </li>
 <li>
 Ensure periodic reassessment of deployed AI systems to maintain compliance and risk control.
 </li>
 </ul>
 
 
 4. AI Tools Governance &amp; Vendor Evaluation
 
 
 <ul>
 <li>
 Evaluate and review new AI tools and technologies prior to adoption.
 </li>
 <li>
 Conduct risk and compliance assessments of
 
 third-party AI vendors and solutions
 
 .
 </li>
 <li>
 Ensure proper due diligence, governance controls, and contractual safeguards are in place.
 </li>
 <li>
 Establish and manage the approval workflow for AI tool adoption.
 </li>
 <li>
 Monitor and address
 
 shadow AI usage
 
 across the organization.
 </li>
 </ul>
 
 
</div>

AI Engineer

Technoworks (SMC-PVT) Ltd

Job Title: Business Development Engineer &ndash; Construction &amp; EngineeringLocation: Islamabad, Pakistan Industry: Construction / Engineering / EPC Job Type: Full-timeAbout the Company We are a PEC-registered engineering and construction company based in Islamabad, specializing in mechanical structures, steel fabrication, erection, and civil construction works. Our company executes projects across Pakistan in industrial, infrastructure, and commercial sectors.We are seeking a proactive and motivated Business Development Engineer to help expand our client base, develop relationships with contractors and consultants, and secure new project opportunities.Key Responsibilities<ul><li>Identify and develop new business opportunities in construction, industrial, and infrastructure sectors.</li><li>Build relationships with EPC contractors, engineering consultants, project owners, and developers.</li><li>Conduct market research to identify potential projects and clients.</li><li>Visit client offices, construction sites, and industrial facilities to introduce company services.</li><li>Monitor tender portals, procurement notices, and RFQs.</li><li>Prepare company introductions, capability presentations, and proposal submissions.</li><li>Coordinate with technical and management teams to prepare quotations and project proposals.</li><li>Maintain a database of leads, clients, and project opportunities.</li><li>Represent the company at industry meetings, networking events, and client meetings.</li></ul>Target Client Segments<ul><li>EPC Contractors</li><li>Industrial Plants &amp; Manufacturing Companies</li><li>Real Estate Developers</li><li>Engineering Consultants</li><li>Hydropower and Infrastructure Projects</li><li>Power Generation Companies</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Civil Engineering / Mechanical Engineering or related field</li><li>2&ndash;5 years experience in business development, sales, or project coordination within construction or engineering sector</li><li>Strong communication and client relationship skills</li><li>Knowledge of Pakistan construction market and contractors is preferred</li><li>Ability to travel for client meetings and site visits</li><li>Proficiency in MS Office and basic proposal preparation</li></ul>Preferred Skills<ul><li>Experience working with EPC contractors or consultants</li><li>Understanding of fabrication, structural steel, or civil construction works</li><li>Knowledge of tendering processes and vendor registration</li><li>Ability to identify project opportunities and develop client relationships</li></ul>What We Offer<ul><li>Competitive salary package</li><li>Performance-based incentives</li><li>Opportunity to grow with a rapidly expanding engineering company</li><li>Exposure to large industrial and infrastructure projects</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs80,000.00 per monthWork Location: In person

Business Development Engineer – Construction & Engineering

Explore 56+ Data engineer in Islamabad Pakistan this April. Find roles across top companies and apply now to boost your career.