data platform engineer Jobs in Rawalpindi

data platform engineer

database developer

planning engineer

senior bi developer

senior data engineer

data engineer

Alpha Beta Partners Ltd (UK based company)

Introduction to Company Established in 1989, Metropolitan Warehouse &amp; Delivery (MWD) is a leading provider of premier White Glove furniture delivery services in the USA. With operations in more than 40 cities and a dedicated team of over 1,200 professionals, MWD specializes in eCommerce furniture delivery, warehousing, and comprehensive white-glove logistics solutions. The company manages thousands of deliveries daily through its nationwide hub network and leverages modern data infrastructure to support operational efficiency and business intelligence.Job Specifications<ul><li>Time: 5:00 PM &ndash; 2:00 AM (Night Shift)</li><li>Location: Civic Center, Phase IV, Bahria Town, Rawalpindi</li><li>Job Type: Onsite &ndash; Full Time</li><li>Education: Bachelor&rsquo;s in Computer Science, Information Systems, Data Science, or related field</li><li>Experience: 2 &ndash; 5 Years in Business Intelligence / Data Engineering</li></ul>Skill Set: Python, Advanced SQL (PostgreSQL), dbt, Power BI, Grafana, Linux, Data Pipelines, Backend Systems, System Design, DSA.Key ResponsibilitiesData Systems &amp; EngineeringDesign and develop scalable data platforms supporting analytics and operational workloadsData Pipelines &amp; Architecture<ul><li>Build and maintain ETL/ELT pipelines across multiple data sources</li><li>Design data models supporting analytics and reporting systems</li><li>Implement robust data ingestion from databases, APIs, files, and event streams</li><li>Ensure data consistency, reliability, and fault tolerance across systems</li></ul>Performance &amp; Optimization<ul><li>Optimize database queries and backend services for performance at scale</li><li>Design efficient data structures and storage models</li><li>Improve latency and throughput of data pipelines</li></ul>Collaboration &amp; Engineering Practices<ul><li>Work with analytics, BI, and product teams to deliver reliable data products</li><li>Participate in system design discussions and architecture reviews</li><li>Write clean, maintainable, and testable production code</li><li>Use Git-based workflows and engineering best practices</li></ul>Required Skills &amp; Experience<ul><li>2&ndash;5 years experience in Backend Engineering, Data Engineering, or Platform Engineering</li><li>Strong proficiency in Python or Java (production-level coding)</li><li>Advanced SQL skills (joins, indexing, query optimization, analytics queries)</li><li>Experience building scalable data pipelines or backend systems</li><li>Understanding of system design fundamentals (APIs, caching, distributed systems basics)</li><li>Familiarity with data structures and algorithms</li><li>Build backend services and APIs for data ingestion, processing, and access</li><li>Develop high-performance Python services for data processing pipelines</li><li>Work with large-scale datasets using SQL and distributed processing concepts</li></ul>Employee Benifits<ul><li>Market Competetive Salaries</li><li>Promotions &amp; Yearly increments (Based on Performance)</li><li>EOBI &amp; Gratuity</li><li>2 Yearly Bonuses</li><li>Medical Insurance (Employee, Spouce &amp; Children)</li><li>Employee Health Care Program (Gym, Kitchen/Mess Services, Inhouse doctor)</li><li>Employee Social Activity Program (Tours, Office Celebrations, Team collaboration)</li></ul>Job Type: Full-timeWork Location: In person

Data Engineer

Polarity Holdings

Starting Salary: Rs 501,000 PKR / monthSchedule: U.S. Eastern, Monday through FridayLocation: 100% Remote, Full-TimeAbout the RoleFalcon Scaling and PolarityIQ build private capital markets intelligence products. Our clients are family offices, institutional LPs, fund managers, investment banks, and registered investment advisors. They pay premium prices for verified, decision-maker-level intelligence on capital allocators worldwide.We operate a commercially active library of more than two hundred data products spanning family offices, institutional investors, venture capital, private equity, fund of funds, mutual funds, real estate, and high net worth individuals. Our flagship products include Family Office MAX (25,000+ executives across 10,000+ family offices) and LP MAX Bundle (80,000+ contacts across 17,000+ institutional LPs representing over $2 trillion in AUM).The Senior Data Engineer (Full Chain Builder) owns Project NOVA: the three-stage production pipeline that acquires records at scale, enriches them to the granularity capital allocators will pay for, and activates them inside PolarityIQ through agentic retrieval that surfaces signals autonomously.This is hands-on, high-autonomy work. You will build original scraping pipelines, architect multi-provider enrichment waterfalls, deploy production RAG systems, and build the agentic retrieval layer across our intelligence library. You ship products paying customers rely on, not internal demos.Before You ApplyIf your resume does not name a specific client, a real user volume, and what breaks when your system goes down: do not apply.If you have not deployed at least one production RAG system that a non-technical user relied on: do not apply.If Claude Code is not already part of your daily workflow, this role will move too fast for you.CompensationStarting salary is Rs 501,000 PKR per month. The role includes a revenue-sharing component tied directly to your contributions. You are paid weekly, on time.Strong performers regularly see total earnings scale meaningfully within the first four to eight weeks, with continued upside as contributions compound. On-target monthly earnings can exceed Rs 1,000,000 PKR within six to eight months.How You Enter &mdash; The 30-Day SprintThis role begins with a paid, deliverable-based 30-Day Build and Monetization Sprint at Rs 501,000 per month. You do not need to leave your current position. You operate on your own schedule, deploy existing products against real demand, and report what happens when your work meets the market.This is not a trial period. It is a real operating environment. At day 31, both sides hold 30 days of evidence. You will know whether the earnings trajectory and autonomy are real. We will know how you operate under real conditions.What You'll OwnAcquire &mdash; Sourcing and Scraping<ul><li>Build scraping pipelines against family office sites, regulatory filings, SEC EDGAR, state corporate registration databases, and professional networks.</li><li>Handle production anti-bot environments &mdash; Cloudflare, DataDome, PerimeterX &mdash; through residential proxies, CAPTCHA solvers, and stealth browser configurations.</li><li>Orchestrate recurring scraping with Apache Airflow, Prefect, or equivalent. Scheduled, monitored, recoverable.</li><li>Validate sourced records against schema contracts using Pydantic or equivalent. Every record passes the validation gate before entering the pipeline.</li></ul>Enrich &mdash; Multi-Provider Waterfalls<ul><li>Build and manage multi-source enrichment waterfalls using Clay.com, Apollo, Hunter, People Data Labs, Clearbit, and similar platforms.</li><li>Know the cost, coverage, and reliability tradeoffs between providers field by field. Build waterfalls that minimize cost while maximizing coverage.</li><li>Add granularity dimensions that matter: decision-maker layer, investment thesis, activity signals, relationship graph, structural classification, validation metadata.</li><li>Apply data hygiene principles across all pipelines: bounce rates, email verification, contact scoring, stale record detection.</li><li>Operate orchestration tooling that lets enrichment chains run end-to-end without manual stitching: n8n, Apache Airflow, Prefect, Make, or equivalent. The waterfall is one workflow, not a sequence of disconnected scripts.</li><li>Build cost-efficient pipelines that scale without proportional cost growth.</li></ul>Activate &mdash; Agentic RAG and RetrievalPolarityIQ's core intelligence layer is built on RAG. This is not experimental. It is the foundation of how our platform transforms raw family office data into queryable, actionable intelligence.<ul><li>Architect end-to-end RAG systems: document ingestion, chunking strategy, embedding model selection, vector database architecture, retrieval pipeline design.</li><li>Select and justify vector database choices (ChromaDB, Pinecone, Supabase pgvector, Weaviate, or equivalent) based on cost, latency, and scale requirements.</li><li>Implement hybrid retrieval strategies combining semantic vector search with keyword matching (BM25) for higher relevance and accuracy.</li><li>Build retrieval evaluation loops. Assess whether your system returns accurate, grounded results and diagnose when it does not.</li><li>Design and deploy autonomous AI agents using LangChain, CrewAI, or equivalent frameworks. Agents that gather, validate, and synthesize intelligence across data sources.</li><li>Integrate agentic workflows into the PolarityIQ platform so users receive signal delivery, not just search results.</li></ul>Database Architecture<ul><li>Own the architecture, integrity, and growth of PolarityIQ's core intelligence database.</li><li>Design and manage relational schema across Supabase/PostgreSQL, ensuring normalization, indexing, and query performance at scale.</li></ul>Technical StackScraping and AcquisitionScrapy, Playwright, curl_cffi, BeautifulSoup, Requests. Apify, Phantombuster, Browse AI at production scale. Anti-bot fluency: Cloudflare, DataDome, PerimeterX (named experience, not theoretical). Proxies: Bright Data, Oxylabs, Zyte, Smartproxy. CAPTCHA solvers: 2Captcha, Anti-Captcha, CapSolver. Orchestration: Apache Airflow, Prefect, AWS Lambda.EnrichmentClay.com as primary environment: tables, waterfalls, formulas, AI columns. Provider depth: Apollo, Hunter, People Data Labs, Clearbit, BetterContact, Cognism. Validation: Pydantic, Pandera, or Great Expectations applied to scraping output.RAG and Agentic SystemsProduction RAG deployment covering document ingestion, chunking, embeddings, hybrid retrieval, re-ranking, grounding. Vector databases: ChromaDB, Pinecone, Supabase pgvector, Weaviate. Agent frameworks: LangChain, CrewAI, LlamaIndex. LLM APIs: OpenAI, Anthropic Claude, Gemini, with understanding of cost, latency, and reliability tradeoffs.Claude Code &mdash; Non-NegotiableYou operate Claude Code in terminal-based, agentic workflows. Not as a code completer but as a development collaborator you direct, correct, and build with autonomously. You know its limits and call them without hand-holding.Development and InfrastructureBackend with Python, Node.js, or similar. SQL, relational schema design, query optimization. Managed platforms (Supabase, PostgreSQL). API integration (REST, GraphQL, webhooks). Git / GitHub.Who You AreThe technical skills matter. This section matters more.You take ownership before being asked. You measure yourself by outcomes, not activity. You are honest, even when it is uncomfortable. You are reliable, not occasionally but consistently. You are resourceful enough to treat every dollar spent like it is coming out of your own pocket.Your thought process is disciplined. You verify before you assert. You distinguish between facts, inferences, and conclusions, and you never conflate them. You test your assumptions before acting. You are willing to challenge your own hypotheses when the evidence points elsewhere.You use AI extensively but think independently first. Claude Code feels like a natural extension of how you work. You know when it is wrong, when it is shallow, and when to apply the human layer of judgment no prompt can replicate.You communicate in flawless English. Your first draft should be publishable. You do not require heavy editing cycles.Job Type: Full-timePay: Rs501,000.00 per monthEducation:<ul><li>Master's (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Senior Data Engineer

Job description:Introduction to Company Established in 1989, Metropolitan Warehouse &amp; Delivery (MWD) is a leading provider of premier White Glove furniture delivery services in the USA. With operations in more than 40 cities and a dedicated team of over 1,200 professionals, MWD specializes in eCommerce furniture delivery, warehousing, and comprehensive white-glove logistics solutions. The company manages thousands of deliveries daily through its nationwide hub network and leverages modern data infrastructure to support operational efficiency and business intelligence.Job Specifications<ul><li>Time: 5:00 PM &ndash; 2:00 AM (Night Shift)</li><li>Location: Civic Center, Phase IV, Bahria Town, Rawalpindi</li><li>Job Type: Onsite &ndash; Full Time</li><li>Education: Bachelor&rsquo;s in Computer Science, Information Systems, Data Science, or related field</li><li>Experience: 2 &ndash; 5 Years in Business Intelligence / Data Engineering</li></ul>Skill Set: Python, Advanced SQL (PostgreSQL), dbt, Power BI, Grafana, Linux, Data Pipelines, Backend Systems, System Design, DSA.Key ResponsibilitiesData Systems &amp; EngineeringDesign and develop scalable data platforms supporting analytics and operational workloadsData Pipelines &amp; Architecture<ul><li>Build and maintain ETL/ELT pipelines across multiple data sources</li><li>Design data models supporting analytics and reporting systems</li><li>Implement robust data ingestion from databases, APIs, files, and event streams</li><li>Ensure data consistency, reliability, and fault tolerance across systems</li></ul>Performance &amp; Optimization<ul><li>Optimize database queries and backend services for performance at scale</li><li>Design efficient data structures and storage models</li><li>Improve latency and throughput of data pipelines</li></ul>Collaboration &amp; Engineering Practices<ul><li>Work with analytics, BI, and product teams to deliver reliable data products</li><li>Participate in system design discussions and architecture reviews</li><li>Write clean, maintainable, and testable production code</li><li>Use Git-based workflows and engineering best practices</li></ul>Required Skills &amp; Experience<ul><li>2&ndash;5 years experience in Backend Engineering, Data Engineering, or Platform Engineering</li><li>Strong proficiency in Python or Java (production-level coding)</li><li>Advanced SQL skills (joins, indexing, query optimization, analytics queries)</li><li>Experience building scalable data pipelines or backend systems</li><li>Understanding of system design fundamentals (APIs, caching, distributed systems basics)</li><li>Familiarity with data structures and algorithms</li><li>Build backend services and APIs for data ingestion, processing, and access</li><li>Develop high-performance Python services for data processing pipelines</li><li>Work with large-scale datasets using SQL and distributed processing concepts</li></ul>Employee Benifits<ul><li>Market Competetive Salaries</li><li>Promotions &amp; Yearly increments (Based on Performance)</li><li>EOBI &amp; Gratuity</li><li>2 Yearly Bonuses</li><li>Medical Insurance (Employee, Spouce &amp; Children)</li><li>Employee Health Care Program (Gym, Kitchen/Mess Services, Inhouse doctor)</li><li>Employee Social Activity Program (Tours, Office Celebrations, Team collaboration)</li></ul>Job Type: Full-timeWork Location: In person

Data Platform Engineer

CareCloud

<div></div><div><div>Department: INFORMATION TECHNOLOGY Experience: 16 YearsDeadline: May 31, 2026Location: Rawalpindi, Pakistan</div><div><h4 class="jobSectionHeader">
Job Profile</h4><div>
Key Responsibilities
<ul><li>Design, develop, and maintain database objects including tables, views, indexes, stored procedures, triggers, and functions.</li>
<li>Write efficient SQL queries for data retrieval, reporting, and application support.</li>
<li>Develop and maintain ETL processes for data integration and transformation.</li>
<li>Analyze and optimize slow-running queries and database performance issues.</li>
<li>Implement indexing strategies and improve query execution plans.</li>
<li>Monitor database performance and recommend improvements.</li>
<li>Ensure data integrity, accuracy, and consistency across databases.</li>
<li>Maintain data models and database documentation.</li>
<li>Support data migration, data archiving, and data lifecycle management.</li>
<li>Work closely with software developers and analysts to design database solutions.</li>
<li>Provide database support for applications, reporting systems, and analytics platforms.</li>
<li>Troubleshoot and resolve database-related issues.</li>
<li>Implement database security best practices including access control and encryption.</li>
<li>Ensure compliance with organizational data governance policies.</li>
<li>Maintain technical documentation for database structures and procedures.</li>
<li>Support reporting tools such as Power BI, Tableau, or other BI platforms.</li>
</ul>
</div><div><h4 class="jobSectionHeader">Tools / Skills</h4><div>
Required Skills
Technical Skills
<ul><li>Strong experience in SQL Server / MySQL / PostgreSQL / MongoDB</li>
<li>Proficiency in SQL programming</li>
<li>Experience with stored procedures, triggers, views, and indexing</li>
<li>Knowledge of database performance tuning</li>
<li>Experience with ETL processes and data integration</li>
<li>Familiarity with database backup and recovery concepts</li>
</ul>
Analytical Skills
<ul><li>Strong problem-solving and troubleshooting skills</li>
<li>Ability to analyze complex data structures and queries</li>
</ul>
Preferred Skills
<ul><li>Experience with data warehousing and data modeling</li>
<li>Knowledge of Power BI, Tableau, or other reporting tools</li>
<li>Familiarity with cloud databases (Azure, AWS, GCP)</li>
<li>Understanding of DevOps and CI/CD for database deployments</li>
</ul>
Education &amp; Experience
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.</li>
<li>2&ndash;5 years of experience in database development or related roles.</li></ul></div></div></div></div>
 <div><h5 class="jobSectionHeader">Additional Information</h5><div><div>
Total Position(s)
1 Positions</div><div>
Gender
Does not matter</div><div>
Minimum Education
Bachelors Degree</div><div>
Degree Title
Bachelors Degree</div><div>
Shift
Evening</div><div>
Nature of Job
Work From Office</div></div></div>

Database Developer

Introduction to Company Established in 1989, Metropolitan Warehouse &amp; Delivery (MWD) is a leading provider of premier White Glove furniture delivery services in the USA. With operations in more than 40 cities and a dedicated team of over 1,200 professionals, MWD specializes in eCommerce furniture delivery, warehousing, and comprehensive white-glove logistics solutions. The company manages thousands of deliveries daily through its nationwide hub network and leverages modern data infrastructure to support operational efficiency and business intelligence.Job Specifications<ul><li>Time: 5:00 PM &ndash; 2:00 AM (Night Shift)</li><li>Location: Plaza 145, Civic Center, Phase IV, Bahria Town, Rawalpindi</li><li>Job Type: Onsite &ndash; Full Time</li><li>Education: Bachelor&rsquo;s in Computer Science, Information Systems, Data Science, or related field</li><li>Experience: 2 &ndash; 5 Years in Business Intelligence / Data Engineering</li><li>Skill Set: PostgreSQL, Power BI, Python, dbt, Grafana, SQL, Linux Administration</li></ul>Job Description<ul><li>Design and maintain Bronze, Silver, and Gold layers of a Medallion Architecture using PostgreSQL.</li><li>Build and manage dbt Core transformation models with proper testing, documentation, and incremental strategies.</li><li>Optimize PostgreSQL schemas, indexes, and materialized views for analytical workloads.</li><li>Develop automated Python pipelines to ingest data from databases, APIs, Excel/CSV files, and email sources.</li><li>Use Python libraries such as pandas, SQLAlchemy, psycopg2, watchdog, and imaplib for ingestion and processing.</li><li>Maintain and enhance Power BI semantic models including DAX calculations, relationships, RLS, and drill-through reporting.</li><li>Build and manage Grafana dashboards to monitor operational metrics such as delivery SLAs, hub performance, and logistics KPIs.</li><li>Administer Ubuntu Linux servers including Docker Compose deployments, service monitoring, and scheduling tasks with cron.</li><li>Collaborate with Operations and Finance teams to translate business requirements into scalable data solutions.</li><li>Maintain proper documentation for pipelines, dbt models, and data sources.</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Power BI Data Analyst Associate (PL-300)</li><li>dbt Certified Developer</li><li>PostgreSQL Professional Certification (PGCP)</li><li>Linux Foundation Certified System Administrator (LFCS)</li><li>Microsoft Azure Data Fundamentals (DP-900)</li></ul>Employee Benefits<ul><li>Market Competitive Salaries</li><li>Promotions &amp; Yearly Increments (Based on Performance)</li><li>EOBI &amp; Gratuity</li><li>Two Annual Bonuses</li><li>Medical Insurance (Employee, Spouse &amp; Children)</li><li>Life Insurance</li><li>Employee Health Care Program (Gym, Kitchen/Mess Services, In-House Doctor)</li><li>Employee Social Activity Program (Tours, Office Celebrations, Team Collaboration)</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>License/Certification:<ul><li>Power BI experience or certification (Preferred)</li></ul>Location:<ul><li>Rawalpindi (Preferred)</li></ul>Work Location: In person

Senior BI Developer

Elite Steel

<div>
 
 No. of Positions: 01
 
 
 
 
 Location:
 
 Rawalpindi
 
 
 
 Education:
 
 BS Engineer
 
 
 
 Experience:
 
 4-5 Years Experience In Hse
 
 
 
 Key Responsibilities
 
 
 
 ■ Should Be Able To Handle Daily, Monthly Hse Reports And Dashboards.
 
 
 
 Salary And Benefits
 
 
 
 We offer a market-driven salary package and other benefits like Provident Fund, Health Insurance for self and family, Group Insurance, paid leave, etc.
 
 
 
 Note:
 
 Please mention the position in the subject line!
 
 
 Email your CV at jobs@eliteengineering.com.pk
 
 
 
 SITE: Rawalpindi
 
 
 
 www.eliteengineering.com.pk
 
 
 
 Job Location:
 
 Rawalpindi
 
 
 Apply for this position
 
 
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</div>

HSE OFFICER

IZOC Solutions

We&rsquo;re Hiring: SEO Expert (Not a Typical SEO Role)At IZOC Solutions, we&rsquo;re not hiring someone to &ldquo;do SEO.&rdquo;We&rsquo;re hiring someone to engineer organic dominance across search ecosystems, AI engines, and large-scale digital infrastructure.If your experience is limited to keyword research, meta tags, and backlink building, this role is not for you.We are building a high-performance SEO system tightly integrated with Service Hub, and Growth teams, not a siloed marketing function.What You&rsquo;re Actually BuildingYou will be responsible for building and scaling a next-generation SEO engine that performs across:<ul><li>Traditional search engines like Google</li><li>AI-driven systems like ChatGPT, Claude, Google Gemini, Grok</li><li>Answer engines like Perplexity AI</li><li>Community-driven discovery platforms like Reddit</li></ul>This is not about ranking pages.This is about owning visibility across all modern discovery systems in 2026 and beyond.Core Responsibilities (High-Level Execution Role)You will be deeply involved in execution, not just strategy:1. Programmatic SEO at Scale<ul><li>Build real systems, not templates</li><li>Design scalable SEO architecture for thousands to millions of pages</li><li>Automate content + indexing systems with measurable impact</li></ul>2. Technical SEO at Infrastructure Level<ul><li>Deep understanding of JavaScript rendering, crawl behavior, and indexing pipelines</li><li>Fix and optimize large-scale technical SEO issues across multi-market platforms</li><li>Work directly with engineers on performance, rendering, and architecture decisions</li></ul>3. AI Search &amp; GEO Optimization<ul><li>Optimize for Generative Engine Optimization (GEO)</li><li>Build entity-driven SEO systems for AI search visibility</li><li>Understand how modern LLMs interpret, rank, and retrieve content</li></ul>4. Algorithm Mastery (Non-Negotiable)<ul><li>Deep understanding of Google algorithm systems and updates, including Helpful Content systems and continuous ranking evolution</li><li>Ability to interpret ranking volatility and reverse-engineer patterns</li><li>Constant adaptation to search evolution, not outdated SEO playbooks</li></ul>5. Experimentation &amp; Growth Loops<ul><li>Run structured SEO experiments (A/B testing, rollouts, rollback strategies)</li><li>Measure impact beyond traffic: activation, retention, revenue contribution</li><li>Build feedback loops between SEO and product growth</li></ul>Platforms You Must Understand DeeplyYou are expected to know how to influence visibility across:<ul><li>Google SERPs, snippets, and indexing systems</li><li>People Also Ask ecosystems</li><li>AI Overviews and generative results</li><li>ChatGPT responses and AI search behavior</li><li>Google Gemini and multimodal search outputs</li><li>Claude reasoning-based retrieval systems</li><li>Grok conversational search behavior</li><li>Perplexity AI answer engine ranking logic</li><li>Reddit content discovery and community ranking signals</li></ul>If you only understand Google, you are already behind.What You Will Own End-to-End<ul><li>Full SEO roadmap across multiple markets</li><li>KPI definition, measurement systems, and reporting logic</li><li>Execution strategy from crawl to conversion</li><li>Cross-functional collaboration with Product and Engineering</li><li>Scaling SEO into a core revenue channel, not a support function</li></ul>Required Experience (Strict Filter)We are only considering candidates who have:<ul><li>Proven experience in programmatic SEO systems that are already live and ranking</li><li>Strong technical SEO background (JavaScript, indexing, crawling, architecture)</li><li>Hands-on experience working with engineers in real production environments</li><li>Experience with AI-driven search or modern discovery systems</li><li>Strong data interpretation skills (not just reporting, actual decision-making from data)</li></ul>Mandatory Requirement (Non-Negotiable)You must have your own website or your personal live project.Not a portfolio.Not a case study document.A real, functioning website that proves:<ul><li>You can rank pages in competitive environments</li><li>You understand technical + content + algorithm interaction</li><li>You can diagnose and fix real-time SEO problems</li><li>You can show measurable growth outcomes</li></ul>If you cannot show this, do not apply.What We Expect From YouWe are NOT looking for:<ul><li>Task executors</li><li>Template SEO specialists</li><li>Link builders</li><li>Keyword planners</li></ul>We are looking for someone who:<ul><li>Thinks like a systems engineer</li><li>Understands search as a complex evolving ecosystem</li><li>Can bridge SEO, product, and engineering</li><li>Can build scalable organic growth machines from scratch</li></ul>This role is intense, technical, and high-responsibility.You will not be &ldquo;doing SEO.&rdquo;You will be designing how visibility works across modern search ecosystems.If that excites you more than it scares you, you might be the person we&rsquo;re looking for.Location : Bahria Phase 4, Civic Center , Rawalpindi Timings: 3:00 PM - 12:00 AM Monday to FridayPLEASE NOTE THAT THIS IS A FULL TIME ON SITE ROLE, WE DO NOT HIRE REMOTELYJob Type: Full-timePay: Rs70,000.00 - Rs100,000.00 per monthExperience:<ul><li>SEO : 3 years (Preferred)</li></ul>Work Location: In person

Senior SEO Executive

Explore 143+ Data engineer in Rawalpindi this May. Find roles across top companies and apply now to boost your career.