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senior 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

Confiz

<div>We are looking for a Data Engineer with 2&ndash;4 years of experience to design, build, and maintain data pipelines that enable efficient data processing and analytics. The ideal candidate will have expertise in SQL, data modeling, and modern data engineering tools and frameworks, and will work closely with data analysts, BI developers, and business teams to ensure reliable and high-quality data flows.
Responsibilities:
<ul><li>Design, develop, and maintain ETL/ELT data pipelines to support business analytics and reporting</li>
<li>Implement data models optimized for performance, scalability, and business needs</li>
<li>Develop and manage data integration workflows using modern ETL tools and orchestration frameworks</li>
<li>Ensure data quality, integrity, and consistency across various systems</li>
<li>Optimize SQL queries and database performance for efficient data retrieval</li>
<li>Collaborate with data scientists, analysts, and BI teams to provide well-structured data for insights</li>
<li>Monitor and troubleshoot data pipeline failures, ensuring minimal downtime</li>
<li>Implement best practices in data engineering, including documentation, version control, and automation</li>
</ul>
Requirements :
<ul><li>2&ndash;4 years of experience in data engineering, ETL/ELT, and data pipeline development (Oracle, Informatica, Azure)</li>
<li>Strong proficiency in SQL for data transformation, query optimization, and performance tuning</li>
<li>Hands-on experience with modern ETL/ELT tools and orchestration frameworks (e.g., ADF, Informatica, Apache Airflow, dbt, or similar)</li>
<li>Knowledge of data modeling principles (dimensional modeling, normalization, denormalization)</li>
<li>Familiarity with relational database systems such as Oracle, MS SQL Server, or similar</li>
<li>Experience with a programming language such as Python for data processing and automation</li>
<li>Strong problem-solving skills with the ability to troubleshoot and optimize data workflows</li>
<li>Ability to work independently and collaborate with cross-functional teams</li>
<li>Good understanding of data governance, security, and compliance best practices</li>
</ul>
Preferred Qualifications :
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent experience)</li>
<li>Experience with cloud data platforms (AWS, Azure, or GCP)</li>
<li>Exposure to CI/CD for data pipelines and version control systems like Git</li>
<li>Familiarity with big data technologies (e.g., Apache Spark) or data warehousing solutions</li>
</ul>
We have a global team of 700 + amazing individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. 
 
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. 
 
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. 
To know more about Confiz, visit: https://www.linkedin.com/company/confiz/</div>

<div>
 We are seeking a
 
 Principal Data Engineer
 
 with 5+ years of hands-on experience in the modern cloud data stack. This role is ideal for someone passionate about building robust, scalable data solutions and who thrives in agile, collaborative environments.
 
 
 The core technical stack centers around
 
 Databricks / PySpark
 
 for large-scale data processing,
 
 DBT
 
 for transformation,
 
 Astronomer / Airflow
 
 for orchestration (with
 
 Cosmos
 
 to run DBT DAGs natively in Airflow), and
 
 Snowflake
 
 as the cloud data warehouse.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines using DBT and Astronomer/Airflow for batch and incremental data processing.
 </li>
 <li>
 Develop modular DBT transformation layers (staging &rarr; intermediate &rarr; mart) with robust testing, documentation, and incremental model strategies.
 </li>
 <li>
 Orchestrate end-to-end workflows on Astronomer / Airflow, using Cosmos to trigger and manage DBT models as native Airflow DAGs.
 </li>
 <li>
 Design and optimize Snowflake schemas, queries, and cost controls for analytical workloads.
 </li>
 <li>
 Enforce data quality standards through DBT tests and pipeline observability tooling.
 </li>
 <li>
 Write clean, well-tested Python and SQL code and actively participate in code reviews.
 </li>
 <li>
 Lead and mentor a team of data engineers; contribute to sprint planning, architectural decisions, and technical standards.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Databricks &amp; PySpark: Delta Lake, batch and streaming workloads, cluster and cost optimization.
 </li>
 <li>
 DBT (Core &amp; Cloud): Advanced data modelling patterns, incremental strategies, custom tests, and CI/CD integration.
 </li>
 <li>
 Astronomer / Airflow: DAG authoring, Cosmos for DBT orchestration, and pipeline observability.
 </li>
 <li>
 Snowflake: Data modelling, query performance tuning, access control, and cost governance.
 </li>
 <li>
 Python and SQL: Strong programming skills with a focus on modular, maintainable, and testable code.
 </li>
 <li>
 Cloud platform: Hands-on experience with Azure or AWS.
 </li>
 <li>
 Agile &amp; CI/CD: Comfortable working in agile teams with a CI/CD development mindset.
 </li>
 <li>
 Degree: Bachelor&rsquo;s in Computer Science or a related discipline.
 
 
 </li>
 </ul>
 We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
 
 
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 
 ISO 9001:2015
 
 (QMS),
 
 ISO 27001:2022
 
 (ISMS),
 
 ISO 20000-1:2018
 
 (ITSM),
 
 ISO 14001:2015
 
 (EMS),
 
 ISO 45001:2018
 
 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 
 
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 
 
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>

Principal Data Engineer (Databricks / PySpark, DBT & Astronomer / Airflow)

International Rescue Committee

<div>The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.
Technology and Operations support the organization's work by providing reliable and scalable solutions for the IRC's offices around the world. The Data Team at IRC is responsible for the design and delivery of global data strategies and the systems and products that deliver on it. 
Job Overview / Summary 
The Data Engineer will support the implementation, configuration, and maintenance of data pipelines and transformation workflows across IRC's data environment. This role plays an active part in building and operating ELT processes, dbt models, and cloud-based data platforms including Azure Databricks and the IRC Lakehouse. 
The successful candidate has foundational to growing expertise in dbt, SQL, and Databricks, and is eager to take on increasing ownership of data engineering deliverables. Working closely with senior engineers and the Data Architect, this role contributes to data modeling, pipeline development, and platform reliability in a collaborative and fast-paced environment. 
Major Responsibilities<div> 
Pipeline Engineering &amp; Orchestration 
<ul><li>Build and maintain ELT data pipelines using Databricks Workflows and Azure Data Factory for batch and scheduled processing from internal and external sources.</li><li>Support the ingestion of data from key systems (e.g., D365 CRM, ServiceNow) into Lakehouse.</li><li>Monitor pipeline execution, identify failures, and troubleshooting issues in collaboration with senior engineers.</li><li>Contribute to pipeline documentation and help maintain runbooks and process standards.</li></ul></div><div> 
dbt Development 
<ul><li>Develop and maintain dbt models across staging, intermediate, and mart layers under the guidance of senior team members.</li><li>Write dbt tests and contribute to source freshness checks to support data quality.</li><li>Learn and apply dbt best practices including modular design, ref dependencies, and incremental model patterns.</li><li>Work with analysts and business teams to translate data requirements into dbt models.</li></ul></div><div> 
SQL &amp; Data Transformation 
<ul><li>Write intermediate to advanced SQL for data extraction, transformation, and validation tasks.</li><li>Apply SQL techniques including joins, CTEs, window functions, and aggregations to support reporting and analytics needs.</li><li>Assist in query optimization and performance troubleshooting within</li></ul></div><div>
Databricks SQL environments. 
<ul><li>Support data model maintenance and help accommodate new source fields or schema changes.</li></ul></div><div> 
Databricks &amp; Cloud Platform 
<ul><li>Develop and maintain Databricks notebooks and jobs for data transformation workloads.</li><li>Gain hands-on experience with Delta Lake concepts and PySpark for data processing.</li><li>Follow Lakehouse design patterns (Bronze/Silver/Gold) as defined by the Data Architect.</li><li>Support cloud resource management including basic cluster configuration and job scheduling.</li></ul></div><div> 
Collaboration &amp; Learning 
<ul><li>Actively collaborate with the Data Team on pipeline design, troubleshooting, and delivery.</li><li>Participate in code reviews and incorporate feedback to improve code quality.</li><li>Support documentation of processes, standards, and data flows.</li><li>Engage with Finance, FP&amp;A, and other business teams to understand data needs and assist in solution delivery.</li></ul></div><div> 
Key Working Relationships 
<ul><li>Data Team (Data Architect, Lead Data Engineer, Data Analysts)</li><li>Business / Departmental Priority Setters (Finance, FP&amp;A, Operations)</li><li>Enterprise Systems Owners (D365 CRM, Integra)</li></ul>
Position Reports To</div> 
Lead Data Engineer 
Position Supervises: None 
Travel Requirements 
Special projects may require travel to enable on-the-ground learning to support data strategy deliverables. 
Minimum Requirements<div> 
Experience 
<ul><li>3&ndash;6 years of hands-on experience in data engineering, analytics engineering, or a related technical role.</li><li>Demonstrated experience building or maintaining data pipelines in a professional setting.</li><li>Exposure to cloud-based data platforms, preferably Azure (Databricks, Data Factory, or Synapse).</li></ul></div><div> 
Technical Skills &mdash; Required 
dbt: 
<ul><li>Working knowledge of dbt model development including staging and mart layers.</li><li>Familiarity with dbt tests, documentation, and source configurations.</li><li>Eagerness to deepen dbt skills including incremental models and CI/CD integration.</li></ul></div><div> 
Databricks: 
<ul><li>Hands-on experience with Databricks notebooks and basic job/workflow setup.</li><li>Familiarity with Delta Lake concepts and Databricks SQL.</li><li>Exposure to PySpark for data transformation tasks.</li></ul></div><div> 
SQL: 
<ul><li>Solid SQL skills: joins, CTEs, window functions, aggregations, and basic performance awareness.</li><li>Experience writing SQL for data transformation and validation in a cloud data warehouse.</li></ul></div><div> 
Pipeline Engineering: 
<ul><li>Experience building or supporting ELT pipelines with monitoring and basic data validation.</li><li>Familiarity with pipeline orchestration tools such as Azure Data Factory or Databricks Workflows.</li></ul></div><div> 
Python: 
<ul><li>Basic to intermediate Python skills for data processing, scripting, and automation.</li><li>Familiarity with PySpark is a plus.</li></ul></div><div> 
Data Modeling: 
<ul><li>Understanding of star/snowflake schemas and fact &amp; dimension table concepts.</li><li>Exposure to Lakehouse or medallion architecture (Bronze/Silver/Gold) is a plus.</li></ul></div><div> 
Soft Skills 
<ul><li>Curious and eager to learn with a proactive approach to problem-solving.</li><li>Good communication skills &mdash; able to collaborate across technical and non-technical teams.</li><li>Attention to detail and a strong sense of data quality.</li><li>Comfortable working in a collaborative, fast-paced, and remote team environment.</li></ul></div><div> 
Preferred Additional Requirements 
<ul><li>Experience with Databricks or Azure Synapse Analytics.</li><li>Familiarity with D365 CRM or Similar data structures.</li><li>Exposure to Git-based workflows and CI/CD practices for data pipeline deployments.</li><li>Experience in a humanitarian, nonprofit, or international development context.</li></ul></div> 
Working Environment 
Remote 
PROFESSIONAL STANDARDS
All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.
Cookies: https://careers.rescue.org/us/en/cookiesettings
#li-1</div>

Data Engineer

Smart Innovations (Pvt) Ltd.

Smart Innovations Private Limited is expanding its technical team in Islamabad. We are seeking a motivated and detail-oriented Junior Power System Engineer to support our growing portfolio of electric vehicle infrastructure and advanced DC power projects. This is an excellent opportunity for an early-career engineer to work under expert mentorship in the renewable energy sector.Key ResponsibilitiesTechnical Support: Assist the Lead Power System Engineer in the design and modeling of EV DC charging solutions and DC power distribution networks.Documentation: Prepare technical drawings, specifications, and project documentation for emerging power solutions.Testing &amp; Commissioning: Participate in the on-site installation, testing, and troubleshooting of power systems.Sales Engineering: Assist the sales team by preparing technical proposals and providing data-driven insights for client presentations.Research: Stay updated on the latest trends in emerging power solutions to help improve company service offerings.Required Qualifications &amp; SkillsExperience: 1&ndash;2 years of experience in power engineering (internships in relevant fields will be considered).Core Knowledge:Foundational understanding of DC power systems and power electronics.Interest or basic knowledge in EV charging technology and infrastructure.Familiarity with power system simulation software (e.g., ETAP, MATLAB, or similar).Soft Skills:Strong communication skills to support technical sales and client interactions.A proactive attitude and a strong desire to learn from a senior engineering team.Education: Bachelor&rsquo;s degree in Electrical Engineering (Power) or a related engineering discipline.Why Join Smart Innovations?Hands-on experience with cutting-edge EV and DC technology.Mentorship from industry leaders in power systems.Competitive entry-level salary and growth opportunities.A vibrant work culture located in a prime Islamabad hub.How to ApplyInterested candidates should submit their CV and a brief cover letter to:Email: hr.admin@smartinnovations.com.pkOffice Address:Smart Innovations Private Limited,Gate No. 4, Main G.T. Road,Opposite DHA Phase 2,Islamabad, PakistanPay: Rs40,000.00 - Rs60,000.00 per monthWork Location: In person

Junior System Power Engineer

Ciklum Pakistan

<div>
 
 Job Description
 
 
 
 
 Ciklum
 
 is looking for a
 
 Senior Full Stack Engineer
 
 to join our team full-time in Pakistan.
 
 
 We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
 
 
 
 About The Role
 
 
 
 As a Senior Full Stack Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. This is an opportunity to work at the heart of an entrepreneurial tech team, shaping how grows and supporting the drivers of our success.
 
 
 You&rsquo;ll collaborate closely with other engineers, our Product team, and our Data team to design, build and deliver high-quality technology and customer experiences. While experience as a Software Engineer is essential, we&rsquo;re pretty open on which languages and frameworks you&rsquo;ve worked with. Our current stack includes Python, Django, Typescript, React, React Native and AWS serverless technologies (Lambda, S3, DynamoDB, API Gateway, SNS/SQS). You&rsquo;ll work across frontend, backend, and platform infrastructure, with learning opportunities throughout your time to expand your skills.
 
 
 Join our client, a growing company in the sustainability-focused tech space, operating in a product focused environment. Be part of a purpose driven team working to reduce waste and improve how resources are used more efficiently across supply chains. The impact goes beyond the product itself, contributing to broader environmental outcomes.
 
 
 Working in a collaborative, hybrid setup, you&rsquo;ll contribute to shaping and delivering solutions, with the opportunity to influence how things are built and improved over time.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leading on the successful delivery of complex projects and features across both the backend and frontend of our tech stack, contributing directly to key product goals by working on technical designs and building quality solutions
 </li>
 <li>
 Increasing team velocity and efficiency through the adoption of engineering best practices
 </li>
 <li>
 Take ownership of code quality through testing, code reviews, and documentation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Extensive experience with designing, developing and delivering robust engineering solutions in commercial environments (we primarily use Python, Typescript and AWS)
 </li>
 <li>
 Solid understanding of cloud infrastructure and CI/CD (e.g., AWS, Github Actions)
 </li>
 <li>
 Familiarity with modern software architecture and cloud design patterns
 </li>
 <li>
 Comfortable working in high-autonomy, collaborative environments, balancing urgency with quality
 </li>
 <li>
 Excellent problem-solving and technical debugging skills, with the ability to mitigate and solve complex issues
 </li>
 <li>
 Strong communication and stakeholder engagement abilities &ndash; able to explain technical concepts to all audiences
 
 
 </li>
 </ul>
 
 Personal Skills
 
 
 
 <ul>
 <li>
 Pragmatic &ndash; understand the trade-offs of software delivery
 </li>
 <li>
 Delivery-focused &ndash; success is measured by shipping great products, not just writing code
 </li>
 <li>
 Curious &ndash; ask questions, explore problems, and seek better solutions
 </li>
 <li>
 Collaborative &ndash; work independently when needed, but know when to bring others in
 </li>
 <li>
 Communicative &ndash; able to zoom in to technical detail or step back to evaluate the big picture
 
 
 </li>
 </ul>
 
 What`s in it for you?
 
 
 
 <ul>
 <li>
 Care: your mental and physical health is our priority. We offer competitive benefits package that includes but is not limited to comprehensive medical coverage, life-insurance, gym membership, fuel, internet and mobile allowances and provident fund
 </li>
 <li>
 Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
 </li>
 <li>
 Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
 </li>
 <li>
 Flexibility: Own your schedule &ndash; you are the one to decide when to start your working day. Just don&rsquo;t miss your regular team stand-up
 </li>
 <li>
 Opportunities: we value our specialists and always find the best options for them. Our Internal
 </li>
 <li>
 Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
 </li>
 <li>
 Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
 </li>
 <li>
 Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.
 
 
 With over 14 years of presence in Islamabad, our Pakistan team is a trusted force in redefining industries. We value every voice and invite experienced professionals to help shape tomorrow&rsquo;s digital experiences.
 
 
 Want to learn more about us? Follow us on Instagram , Facebook , LinkedIn .
 
 
 
 Explore, empower, engineer with Ciklum!
 
 
 
 Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.
 
 
</div>

Senior Full Stack Engineer

Cplus Soft (Pvt) Ltd

We are hiring a Senior AI Engineer to design and build a next-generation agentic OCR and document processing system. You will own the end-to-end development of a multi-agent pipeline that extracts, validates, and delivers structured data from business documents using AI.This role goes beyond traditional OCR &mdash; you will architect intelligent, self-healing systems that improve accuracy and reduce manual review through targeted AI workflows.Key Responsibilities<ul><li>Design and build a multi-layer AI agent pipeline for document processing</li><li>Develop OCR extraction, classification, and schema mapping systems</li><li>Implement confidence scoring and automated validation logic</li><li>Build self-healing workflows for low-confidence data extraction</li><li>Orchestrate workflows using LangGraph and AWS Step Functions</li><li>Develop and integrate MCP-based AI tools and APIs</li><li>Optimize OCR engines for accuracy, cost, and performance</li><li>Build scalable infrastructure using AWS, Docker, and Terraform</li><li>Ensure system reliability with monitoring, testing, and observabilityRequirements</li><li>5+ years of Python development (production-level)</li></ul>Good to Have<ul><li>Computer vision / OpenCV experience</li><li>Document classification &amp; schema mapping</li><li>Human-in-the-loop (HITL) systems</li><li>LLM observability tools (LangSmith, Arize, etc.)</li><li>Experience with logistics, manufacturing, or document-heavy industries</li><li>2+ years working with LLMs and AI systems</li><li>Experience with LangChain / LangGraph or similar frameworks</li><li>Strong hands-on experience with AWS (Bedrock, Lambda, S3, ECS, Step Functions)</li><li>Solid understanding of OCR and document processing systems</li><li>Experience building APIs (FastAPI) and working with PostgreSQL / OpenSearch</li><li>Familiarity with Docker, Terraform, and cloud infrastructure</li><li>Strong English communication skills (B2+)</li></ul>Application Question(s):<ul><li>What is your current and expected salary?</li><li>Can you join on an immediate basis?</li></ul>Work Location: In person

Senior AI Engineer – Agentic OCR & Document Intelligence

Explore 318+ Senior data engineer in Islamabad this May. Find roles across top companies and apply now to boost your career.

318 senior data engineer jobs In Islamabad

Senior Data Engineer

Senior Data Engineer

Principal Data Engineer (Databricks / PySpark, DBT & Astronomer / Airflow)

Data Engineer

Junior System Power Engineer

Senior Full Stack Engineer

Senior AI Engineer – Agentic OCR & Document Intelligence