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backend engineer (python, llm & ai agents, big data) Jobs in Karachi

backend engineer (python, llm & ai agents, big data)

data engineer

Confiz

<div>We are looking for a Data Engineer with 2&ndash;3 years of experience to join our team. The ideal candidate is passionate about data engineering and eager to learn and grow while supporting the development and maintenance of modern data pipelines and analytics solutions.
Responsibilities
<ul><li>Assist in designing, building, and maintaining ETL/ELT data pipelines.</li>
<li>Support data ingestion and integration from various source systems into cloud platforms.</li>
<li>Write and optimize SQL and Python scripts for data transformation and processing.</li>
<li>Work with senior engineers to ensure data accuracy, consistency, and reliability.</li>
<li>Implement basic monitoring and logging to ensure data pipelines run smoothly.</li>
<li>Document processes, workflows, and data models.</li>
<li>Collaborate with stakeholders to understand requirements and deliver data solutions.</li>
<li>Participate in code reviews and follow best practices in data engineering.</li>
</ul>
Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering</li>
<li>2&ndash;3 years of experience in data engineering, data integration, or ETL development.</li>
<li>Hands-on experience with SQL and Python.</li>
<li>Basic knowledge of data modeling and ETL processes.</li>
<li>Familiarity with cloud-based data platforms (Azure, AWS, or GCP).</li>
<li>Exposure to tools like ADF, Databricks, or Microsoft Fabric (a plus).</li>
<li>Understanding of version control tools (e.g., Git).</li>
<li>Strong problem-solving skills and eagerness to learn new technologies.</li>
<li>Good communication skills and ability to work collaboratively in a team.</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) 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 Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Data Engineer

Squarera

We are looking for a Jr. Data Engineer who has a strong foundation in SQL and a passion for data. You will work with our data team to build and maintain pipelines, support data modeling, and contribute to the overall data architecture. This is a great opportunity for someone early in their career to grow in a supportive and dynamic environment.Key Responsibilities:<ul><li>Design, build, and maintain reliable data pipelines using SQL and other ETL tools.</li><li>Collaborate with data analysts, engineers, and business stakeholders to gather requirements and deliver data solutions.</li><li>Clean, transform, and validate data for use in reporting and analytics.</li><li>Ensure data quality and integrity across multiple sources.</li><li>Monitor existing workflows and optimize queries for better performance.</li><li>Participate in code reviews and contribute to technical documentation.</li></ul>Required Skills and Qualifications:<ul><li>6 months to 1 year of hands-on experience in data engineering or a similar role.</li><li>Proficient in writing complex SQL queries (joins, window functions, CTEs, aggregations, etc.).</li><li>Basic understanding of ETL processes and data pipeline tools.</li><li>Familiarity with databases such as PostgreSQL, MySQL, or SQL Server.</li><li>Exposure to cloud platforms like AWS, GCP, or Azure is a plus.</li><li>Good problem-solving skills and attention to detail.</li><li>Excellent communication and collaboration abilities.</li></ul>Preferred (but not required):<ul><li>Experience with Python or any scripting language.</li><li>Familiarity with tools like Airflow, DBT, or data warehousing solutions like Snowflake/BigQuery/Redshift.</li><li>Exposure to version control systems (e.g., Git).</li></ul>What We Offer:<ul><li>A collaborative team environment.</li><li>Opportunities for learning and professional growth.</li><li>Competitive compensation.</li></ul>Job Type: Full-timeWork Location: In person

Data Engineer - Junior

ITKnocks

<div>
 September 29, 2025 Karachi, Open to Remote Candidates Across Pakistan Full-time, Hybrid
 
 
 <ul>
 <li>
 Experience: 5-7 Years
 </li>
 <li>
 Qualifications: Bachelor's Degree
 </li>
 <li>
 Skills: Azure Data Factory, Synapse Analytics, Azure Databricks, Azure Data Lake Storage Gen2
 </li>
 <li>
 Category: Permanent
 </li>
 <li>
 Job Timings: Monday to Friday, 6:00 AM &ndash; 3:00 PM (PKT)
 
 
 </li>
 </ul>
 We are seeking an experienced
 
 Senior Data Engineer
 
 with 5&ndash;7 years of expertise in building and maintaining data platforms on Microsoft Azure. The ideal candidate will have hands-on experience designing scalable data pipelines, managing data warehouses and lakes, and enabling enterprise reporting and analytics.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, develop, and optimise data ingestion pipelines using Azure Data Factory, Synapse Analytics, and Azure Databricks.
 </li>
 <li>
 Manage large-scale data storage solutions with Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
 </li>
 <li>
 Develop and optimise data lake and warehouse architectures using Azure Data Lake Storage Gen2, Delta Lake, and Fabric OneLake.
 </li>
 <li>
 Implement data transformation frameworks (ETL/ELT) for structured and unstructured data.
 </li>
 <li>
 Collaborate with business and analytics teams to design data models, warehouses, and marts.
 </li>
 <li>
 Develop dashboards and reports using Power BI, leveraging Direct Lake mode for real-time analytics.
 </li>
 <li>
 Perform data profiling, cleansing, and transformation using Power Query (M language).
 </li>
 <li>
 Write efficient DAX expressions for calculated columns, measures, and time-based analysis.
 </li>
 <li>
 Apply best practices for security, compliance, and Zero-Trust principles in Azure data solutions.
 </li>
 <li>
 Implement CI/CD pipelines for data workloads using Azure DevOps.
 </li>
 <li>
 Monitor, troubleshoot, and optimise pipelines to ensure reliability and performance
 
 
 </li>
 </ul>
 
 Great To Have
 
 
 
 <ul>
 <li>
 Microsoft Certified: Azure Data Engineer Associate or Azure Enterprise Data Analyst Associate.
 </li>
 <li>
 Knowledge of data architecture best practices and performance optimisation.
 
 
 </li>
 </ul>
 
 Why Join ITKnocks?
 
 
 
 <ul>
 <li>
 Be part of a growing, innovative team with a supportive and collaborative culture.
 </li>
 <li>
 Work on international projects that transform businesses through Microsoft technologies.
 </li>
 <li>
 Enjoy a hybrid work model that promotes work-life balance.
 </li>
 <li>
 Build a long-term career with ongoing training and development opportunities.
 
 
 </li>
 </ul>
 
 Apply Now
 
 
 
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</div>

Senior Data Engineer & Data Scientist

Inqline

Job Title: Backend Engineer (Python, LLM &amp; AI Agents, Big Data)Location: Karachi, Pakistan Job Type: Full-TimeAbout the Role:We are looking for a Backend Engineer with 2-3 years of experience in Python development, specializing in LLMs (Large Language Models), AI Agents, and Big Data handling. The ideal candidate should have hands-on experience working with LangGraph and AI-driven workflows. You will play a crucial role in designing and optimizing scalable backend systems that integrate AI models for automation and intelligent decision-making.Key Responsibilities:<ul><li>Develop and maintain backend services using Python with a focus on AI Agents, LLM-based applications, and LangGraph.</li><li>Build and optimize AI-driven workflows using LangGraph for reasoning and decision-making automation.</li><li>Design and implement scalable APIs and microservices for AI applications.</li><li>Work with Big Data processing frameworks to efficiently manage and process large datasets.</li><li>Develop data pipelines and integrate AI models into production environments.</li><li>Ensure system scalability, reliability, and performance in AI-powered applications.</li><li>Deploy AI-driven solutions on cloud platforms (AWS, GCP, or Azure).</li><li>Collaborate with ML engineers, data scientists, and frontend developers to build intelligent automation tools.</li><li>Write clean, maintainable, and well-documented code following best practices.</li></ul>Requirements:<ul><li>2-3 years of experience in backend development using Python (Django, FastAPI, Flask, etc.).</li><li>Strong experience with Large Language Models (LLMs) and AI-powered applications.</li><li>Hands-on experience with LangGraph for AI workflow orchestration.</li><li>Experience working with AI Agents (LangChain, OpenAI APIs, AutoGPT, etc.).</li><li>Knowledge of Big Data handling &ndash; experience with Apache Spark, Dask, Kafka, or similar is a plus.</li><li>Expertise in building APIs (RESTful, GraphQL) and microservices architecture.</li><li>Familiarity with databases (SQL and NoSQL &ndash; PostgreSQL, MongoDB, etc.).</li><li>Experience with cloud computing (AWS, GCP, Azure) for AI deployments.</li><li>Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul>Nice to Have:<ul><li>Experience with vector databases (e.g., Pinecone, Milvus, FAISS, Weaviate).</li><li>Exposure to NLP techniques and fine-tuning LLMs.</li><li>Experience with event-driven architectures and real-time data processing.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Backend development Python (Django, FastAPI, Flask, etc.): 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

Backend Engineer (Python, LLM & AI Agents, Big Data)

Elite Solutions

<div>
 We are expanding our AI-driven teams and hiring
 
 developers, engineers, and researchers
 
 who are passionate about building the next generation of artificial intelligence systems.
 
 
 Whether your strength lies in
 
 building user interfaces
 
 ,
 
 developing back-end logic
 
 ,
 
 training AI models
 
 , or
 
 designing infrastructure
 
 , we have a place for you!
 
 
 You don't need to know exactly where you fit&mdash;we'll guide you. Just read the descriptions below and tell us which area matches your skills and interests best.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Front-End Developer
 
 
 </li>
 </ul>
 Designs and implements user-facing applications and dashboards.
 
 
 
 Key Skills:
 
 React, JavaScript/TypeScript, TailwindCSS, Figma, UX principles.
 
 
 <ul>
 <li>
 Back-End Developer
 
 
 </li>
 </ul>
 Builds APIs and server-side systems that power AI tools and data pipelines.
 
 
 
 Key Skills:
 
 Python, FastAPI, Go, SQL/NoSQL, REST/GraphQL.
 
 
 <ul>
 <li>
 Full-Stack Engineer
 
 
 </li>
 </ul>
 Develops end-to-end applications connecting front-end interfaces with back-end AI logic.
 
 
 
 Key Skills:
 
 Combination of Front-End and Back-End skills, API design, CI/CD.
 
 
 <ul>
 <li>
 Machine Learning Engineer
 
 
 </li>
 </ul>
 Deploys, fine-tunes, and maintains AI models in production.
 
 
 
 Key Skills:
 
 PyTorch/TensorFlow, MLOps, model serving, inference optimization.
 
 
 <ul>
 <li>
 Data Engineer
 
 
 </li>
 </ul>
 Builds scalable data pipelines and manages datasets for training and evaluation.
 
 
 
 Key Skills:
 
 Apache Airflow, Spark, SQL, Python, BigQuery, ETL systems.
 
 
 <ul>
 <li>
 Research Engineer
 
 
 </li>
 </ul>
 Bridges the gap between AI theory and implementation by building prototypes.
 
 
 
 Key Skills:
 
 Python, ML libraries, LLM experimentation, rapid prototyping.
 
 
 <ul>
 <li>
 DevOps / Site Reliability Engineer (SRE)
 
 
 </li>
 </ul>
 Ensures reliability, monitoring, and automation across AI systems.
 
 
 
 Key Skills:
 
 Kubernetes, Docker, Prometheus, CI/CD, Python/Bash.
 
 
 <ul>
 <li>
 Infrastructure Engineer
 
 
 </li>
 </ul>
 Designs and maintains the cloud infrastructure supporting AI training and deployment.
 
 
 
 Key Skills:
 
 AWS/GCP, Terraform, distributed systems, cost optimization.
 
 
 <ul>
 <li>
 Security Engineer
 
 
 </li>
 </ul>
 Secures the platforms and services powering our AI stack.
 
 
 
 Key Skills:
 
 Cloud security, identity management, penetration testing, audits.
 
 
 <ul>
 <li>
 AI Researcher (LLM / CV / RL)
 
 
 </li>
 </ul>
 Conducts experiments to advance the science behind our models (e.g., LLMs, computer vision, reinforcement learning).
 
 
 
 Key Skills:
 
 Research publications, advanced ML theory, model development, experimentation.
</div>

AI Engineers, Software Developers, and Full-Stack Innovators

Datamatics Technology

<div>Position: BI Engineer (Tableau / MicroStrategy / Data Analytics) 
Experience Level: 7+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-time 
Industry Experience : Telecom<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking an experienced BI Engineer / Tableau Developer with a strong background in Business Intelligence, Data Visualization, and Analytics Engineering. The ideal candidate will have hands-on expertise in Tableau, MicroStrategy, QlikSense, Power BI, Teradata, SQL Server, and data governance. This role requires a blend of technical development, administration, performance optimization, and stakeholder engagement to deliver scalable, self-service BI platforms that empower data-driven decision-making.
The candidate should bring proven experience from telecommunications, financial services, and microfinance industries, with a track record of delivering impactful BI solutions, leading teams, and executing technology migration projects.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Analytics</h3><ul><li>
Design, develop, and maintain interactive dashboards and reports using Tableau, MicroStrategy, and QlikSense.</li><li>
Optimize BI extracts, data models, and performance for high efficiency and scalability.</li><li>
Conduct data analysis to support strategic decision-making and business initiatives.</li><li>
Collaborate with cross-functional teams to translate business requirements into BI solutions.</li></ul><h3 class="jobSectionHeader">
Tableau Development &amp; Administration</h3><ul><li>
Administer Tableau Server, including user management, roles, permissions, and governance.</li><li>
Implement best practices in dashboard design, data visualization, and performance optimization.</li><li>
Manage Tableau data sources, ensuring accuracy, consistency, and reliability.</li><li>
Troubleshoot and resolve BI/ETL performance and usability issues.</li></ul><h3 class="jobSectionHeader">
MicroStrategy Development &amp; Maintenance</h3><ul><li>
Develop and optimize MicroStrategy reports, dashboards, schema objects, and project architecture.</li><li>
Lead self-service BI initiatives to empower business users with advanced analytics tools.</li><li>
Ensure seamless integration of MicroStrategy with various databases (Teradata, SQL Server, Vertica, etc.).</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Technology Migration</h3><ul><li>
Support technology stack migrations (e.g., Teradata Vertica, SAP BO QlikSense).</li><li>
Maintain data pipelines, transformations, and semantic layers for BI systems.</li><li>
Ensure data integrity, governance, and compliance across reporting platforms.</li></ul><h3 class="jobSectionHeader">
Collaboration &amp; Leadership</h3><ul><li>
Lead BI/analytics projects and mentor junior team members.</li><li>
Engage with stakeholders to gather requirements, deliver insights, and drive adoption of BI tools.</li><li>
Document solutions, processes, and best practices for scalability and knowledge sharing.</li></ul><h2 class="jobSectionHeader"> 
Required Skills &amp; Competencies 
</h2><h3 class="jobSectionHeader">
Technical Skills</h3><ul><li>
BI Tools: Tableau, MicroStrategy, QlikSense, Power BI</li><li>
Databases &amp; ETL: Teradata, SQL Server, HP Vertica, Teradata Utilities</li><li>
Languages: SQL, DAX</li><li>
Design: Semantic Layer Design, SLJM</li><li>
Data Governance: Security roles, user management, data quality, compliance</li></ul><h3 class="jobSectionHeader"> 
Functional Skills</h3><ul><li>
Tableau dashboard development &amp; administration</li><li>
Data visualization best practices &amp; performance optimization</li><li>
Data source integration &amp; management</li><li>
Stakeholder engagement &amp; requirements gathering</li><li>
Troubleshooting, issue resolution, and process optimization</li></ul><h2 class="jobSectionHeader"> 
Industry Experience</h2><ul><li>
Telecommunications &ndash; Analytics, Reporting, Self-Service, Technology Migrations</li></ul><h2 class="jobSectionHeader"> 
Preferred Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Analytics, Information Systems, or related field.</li><li>
7+ years of hands-on experience in BI Development, Data Visualization, and Analytics Engineering.</li><li>
Proven experience leading BI projects and small teams.</li><li>
Strong communication and presentation skills for technical and non-technical stakeholders.</li></ul>
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BI Engineer (Tableau / MicroStrategy / Data Analytics)

Systems Limited

<div>Job Role: Data Ops Support Engineer 


Job Responsibilities:
<ul>
<li> Implement and manage continuous integration and deployment pipelines for various applications and services.</li>
<li>Proactively monitor data pipelines, system performance and troubleshoot any issues to maintain high availability and reliability of the infrastructure.</li>
<li>Collaborate with development and business teams to design and implement scalable and resilient solutions.</li>
<li>Automate routine tasks and processes to streamline operations and improve efficiency.</li>
<li>Conduct in-depth reviews of code and debug issues in data pipelines across multiple applications in production environments, with the ability to perform detailed code analysis and troubleshoot complex issues effectively.</li>
<li>Implement security best practices and ensure compliance with relevant regulations.</li>
<li>Participate in on-call rotation and respond to incidents promptly to minimize downtime.</li>
<li>Document processes and procedures to maintain an up-to-date knowledge base.</li>
<li>Stay updated with emerging technologies and industry trends to drive innovation and continuous improvement.</li></ul> 


Job Requirements:
<ul>
<li>Minimum one year development experience on big data tools with at least 2 years' experience in DevOps role or managed services operations role.</li>
<li>Knowledge and understanding of big data tools and AWS cloud services like MWAA, S3, Athena and Lambda is must.</li>
<li>Experience with Apache NiFi is must.</li>
<li>Proficiency in scripting languages like Python, Bash, or PowerShell is preferable.</li>
<li>Familiarity of containerization technologies like Docker and orchestration tools like Kubernetes.</li>
<li>Familiarity with monitoring and logging tools such as Yarn, CloudWatch etc.</li>
<li>Experience with version control systems like Git/Bitbucket.</li>
<li>Excellent communication and collaboration skills.</li>
<li>Ability to work independently and prioritize tasks effectively in a fast-paced environment.</li>
<li>Flexibility to operate across various time zones and schedules, including weekend shifts, is required.</li></ul></div><div></div>

Managing Consultant Data Engineering

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