data analyst

devops engineer

full stack engineer

ai developer

backend developer

data pipeline engineer

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

Techbridge Consultancy Services

Location: Siddique Trade Centre, Gulberg III, Lahore, Pakistan Job Type: Full-time (Onsite) Working Hours: 2:00 PM &ndash; 11:00 PM (PKT)About the RoleWe are looking for a motivated Python Data Engineer with 2&ndash;3 years of experience to join our growing data team. You will be responsible for building, optimizing, and maintaining data pipelines and solutions that support business intelligence, analytics, and automation. This is an onsite role in our Lahore office.Key Responsibilities<ul><li>Develop, maintain, and optimize ETL/ELT pipelines using Python and related libraries (Pandas, NumPy, PySpark).</li><li>Write and optimize complex SQL queries for PostgreSQL, SQL Server, and other RDBMS.</li><li>Work with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge) to design and manage scalable data workflows.</li><li>Handle data ingestion, transformation, and validation for reporting and analytics.</li><li>Automate manual processes and integrate data flows across different systems.</li><li>Collaborate with analysts and business teams to ensure reliable and timely delivery of datasets and reports.</li><li>Use Excel and other BI tools for quick data analysis and validation.</li><li>Ensure data quality, security, and compliance in all data operations.</li></ul>Required Skills<ul><li>2&ndash;3 years of professional experience in data engineering, ETL, or backend development.</li><li>Strong proficiency in Python (Pandas, NumPy, PySpark).</li><li>Solid knowledge of SQL (PostgreSQL, SQL Server, or similar).</li><li>Experience with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge).</li><li>Hands-on experience in Excel for data validation and reporting.</li><li>Familiarity with data warehousing concepts and big data tools.</li><li>Understanding of data modeling, schema design, and performance optimization.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>Preferred<ul><li>Experience with job orchestration tools (Airflow, Step Functions, etc.).</li><li>Exposure to BI/Reporting tools (e.g., Power BI, QuickSight, Tableau).</li><li>Knowledge of APIs, REST, and data integration techniques.</li><li>Experience with Git and version control.</li></ul>What We Offer<ul><li>Opportunity to work with modern data engineering tools and AWS Cloud.</li><li>Professional growth in a collaborative and supportive environment.</li><li>Onsite role at a prime location in Gulberg III, Lahore</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of professional experience do you have working with Python for data engineering or ETL pipelines?</li><li>How would you rate your proficiency in writing and optimizing SQL queries?</li><li>Are you comfortable working full-time onsite from 2:00 PM to 11:00 PM (PKT) in Gulberg III, Lahore?</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Python Data Engineer (ETL & AWS)

Seller Downtown

About Chai VisionChai Vision is a fast-growing e-commerce company that designs, sources, and sells wellness + lifestyle products across global marketplaces. We win by combining data, AI, and streamlined operations&mdash;exactly the stack you&rsquo;ll automate.Why this role mattersAs our first AI Automation Engineer, you&rsquo;ll lead the charge in turning manual, error-prone checks into smart, self-healing workflows. Starting with Amazon operations, you&rsquo;ll build the scripts, pipelines, and alerting logic that keep every SKU, order, and metric under automated watch&mdash;freeing teammates to think, not click.What you&rsquo;ll do<ul><li>Build &amp; deploy backend scripts/apps that eliminate repetitive checks</li><li>Integrate with Amazon SP-API, SellerCloud, Microsoft Teams, Monday.com, Google Sheets &amp; more</li><li>Design smart alerts (think: exceptions, threshold breaches, anomaly flags) delivered in real time</li><li>Translate logic from analysts and operators into production Python code</li><li>Iterate fast&mdash;ship, learn, and harden until failure rates stay under 5 %</li></ul>Tech you&rsquo;ll touchPython &middot; SQL &middot; REST/GraphQL APIs &middot; SellerCloud &middot; Amazon SP-API &middot; Monday.com &middot; Microsoft Teams &middot; Google SheetsSuccess looks like<ul><li>60 %+ reduction in manual monitoring across all departments within 9 months</li><li>Automated daily health checks on every SKU, order flow, and fulfillment step</li><li>Stable automations documented and handed off for easy scaling</li></ul>What makes you a great fit<ul><li>3&ndash;5 yrs building production Python automations or data pipelines</li><li>Strong grasp of scalable system design &amp; relational DBs</li><li>Hands-on experience with third-party APIs (bonus for e-commerce stacks)</li><li>Startup-speed execution; you ship MVPs, measure, and harden quickly</li><li>Clear communicator who enjoys partnering with ops, logistics, compliance, CS &amp; marketing</li><li>Nice-to-have: prior work with ML/AI trigger logic or alerting systems</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore Johar Town: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>AI Automation: 1 year (Required)</li><li>Software Development: 3 years (Required)</li></ul>Location:<ul><li>Lahore Johar Town (Required)</li></ul>Work Location: In personJob Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthWork Location: In person

AI Automation Engineer – Chai Vision - US Based Company Office in Lahore - USD Salary

Burq

<div>About Burq 
 
Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution. 
 
It's a big mission and now we want you to join us to make it even bigger! 
 
We're already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the globe. 
 
We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career. 
 
The Role 
 
As one of our first Data Engineers, you will be responsible for designing, building, and maintaining the pipelines and infrastructure that power our data-driven decision-making. You'll work closely with product, operations, and engineering teams to ensure that data is clean, reliable, and ready to drive insights, from optimizing delivery routes to improving customer experiences. 
 
This is a unique opportunity to build scalable data systems from the ground up and shape the foundation of our analytics and AI capabilities. 
 
What You'll Do 
<ul>
<li>
Design &amp; Build Pipelines: Develop and maintain scalable ETL/ELT processes to ingest, clean, and transform data from multiple sources (internal systems, third-party APIs, IoT devices)</li>
<li>Data Modeling: Design and implement efficient data models for analytics, machine learning, and operational systems</li>
<li>Infrastructure: Own the data infrastructure, leveraging cloud-native solutions (e.g., AWS, GCP, or Azure) and modern data tools</li>
<li>Collaboration: Partner with data scientists, analysts, and software engineers to deliver data products that enable smarter decision-making</li>
<li>Data Quality: Implement robust monitoring, validation, and governance to ensure accuracy, security, and compliance</li>
Scalability: Architect solutions that can handle rapid growth in data volume and complexity as the business scales 
<li>
</li>
</ul>Requirements
Requirements 
Experience: 3+ years of experience in data engineering, preferably in a startup or high-growth environment
Technical Skills:<ul>
<li>
Proficiency with SQL and at least one programming language (Python, Scala, or Java)</li>
<li>Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift)</li>
<li>Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect)</li>
<li>Hands-on experience with data streaming (Kafka, Kinesis) is a plus</li>
Mindset: A builder mentality&mdash;comfortable with ambiguity, fast iterations, and working in a small but mighty team 
<li>
</li>
</ul>Benefits
Investing in you 
At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status</div>

Data Engineer

<div>
 
 About Burq
 
 
 
 Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.
 
 
 It's a big mission and now we want you to join us to make it even bigger! 🚀
 
 
 We're already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the globe.
 
 
 We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.
 
 
 
 The Role
 
 
 
 As one of our first
 
 Data Engineers
 
 , you will be responsible for designing, building, and maintaining the pipelines and infrastructure that power our data-driven decision-making. You'll work closely with product, operations, and engineering teams to ensure that data is clean, reliable, and ready to drive insights, from optimizing delivery routes to improving customer experiences.
 
 
 This is a unique opportunity to build scalable data systems from the ground up and shape the foundation of our analytics and AI capabilities.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design &amp; Build Pipelines: Develop and maintain scalable ETL/ELT processes to ingest, clean, and transform data from multiple sources (internal systems, third-party APIs, IoT devices)
 </li>
 <li>
 Data Modeling: Design and implement efficient data models for analytics, machine learning, and operational systems
 </li>
 <li>
 Infrastructure: Own the data infrastructure, leveraging cloud-native solutions (e.g., AWS, GCP, or Azure) and modern data tools
 </li>
 <li>
 Collaboration: Partner with data scientists, analysts, and software engineers to deliver data products that enable smarter decision-making
 </li>
 <li>
 Data Quality: Implement robust monitoring, validation, and governance to ensure accuracy, security, and compliance
 </li>
 <li>
 Scalability: Architect solutions that can handle rapid growth in data volume and complexity as the business scales
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements
 
 
 
 Experience: 3+ years of experience in data engineering, preferably in a startup or high-growth environment
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficiency with SQL and at least one programming language (Python, Scala, or Java)
 </li>
 <li>
 Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift)
 </li>
 <li>
 Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect)
 </li>
 <li>
 Hands-on experience with data streaming (Kafka, Kinesis) is a plus
 </li>
 <li>
 Mindset: A builder mentality&mdash;comfortable with ambiguity, fast iterations, and working in a small but mighty team
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Investing in you
 
 
 At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
</div>

Architecture In Motion

<div>Job Summary: 


We are seeking an Azure Machine Learning MLOps Engineer to work in AI/ML team. 
As an ML Engineer, you'll be responsible for design, development and implementation of all cycles of MLOps including test, staging, monitoring and deployment of predictive models on cloud-based platform specifically Azure cloud. ML Engineer needs to ensure that our machine learning systems are reliable, scalable, and secure, and that they meet the needs of our customers. 


The ideal candidate will have an extended experiences of deployment and maintaining of AI / ML models in production, a deep understanding of the latest developments in machine learning &amp; artificial intelligence and working experience with both structured and unstructured data. 


Job Responsibilities: 

<ul>
<li>Collaborate closely with the AI / ML and software teams to improve the internal processes and integrate the Machine Learning models into our products and services.</li>
<li>MLOps and Automation that cover automating data pipelines, monitoring data processes, and managing deployments using tools like Azure DevOps, Azure Monitor, and Azure Automation to achieve continuous integration and delivery (CI/CD).</li>
<li>Deploy and manage AI/ML models in production.</li>
<li>Automating AI/ML model deployment and updating.</li>
<li>Setting up monitoring for the AI/ML pipeline.</li>
<li>Automating scalable CI/CD pipelines to account for data, codes, and model changes.</li>
<li>Development and setting up automated model retraining and test pipelines.</li>
<li>Prepare unit tests for AI / ML algorithms and models.</li>
<li>Contribution in design, development, and test of data ETL pipelines for ML models.</li>
<li>Provides best practices and running proof-of-concepts for automated and efficient model operations on a large scale.</li>
<li>Maintaining the infrastructure that supports the models and algorithms.</li>
<li>Design, build and deploy powerful BI solutions as per business requirements.</li>
<li>Participate in modeling Relational and NoSQL databases.</li>
<li>Host and optimize ML Artifacts on premise and on the cloud.</li>
<li>Contribution in projects documentation.</li>
<li>Investigating new technologies that meet corporate standards to enhance the team.</li>
<li>Work in a team oriented and agile environment based on designed scrums, sprints and daily stand ups.</li>
<li>Ability to work on your own and with the team.</li>
<li>Performs other duties as assigned.</li></ul> 


Qualifications: 


You MUST have the following: 

<ul>
<li>Bachelor&rsquo;s degree in computer science, Computer Engineering, Machine Learning, or related areas.</li>
<li>Proven experience as a ML Ops Engineer or similar role.</li>
<li>Understanding of data structures, data modeling and software architecture.</li>
<li>Ability to design and implement cloud solutions.</li>
<li>Ability to write robust codes in SQL and Python.</li>
<li>Experience working with Containers and Kubernetes.</li>
<li>High level knowledge of frameworks such as Keras, PyTorch, Tensorflow.</li>
<li>Ability to build MLOps pipelines including CI/CD Configuration Management, Containers &amp; Infrastructure Orchestration.</li>
<li>Experience with software development and preparation of Python packages.</li>
<li>Experience in using MLOps frameworks like MLFlow.</li>
<li>Working knowledge of orchestrating end to end ML pipelines.</li>
<li>Deep understanding of Azure, Private Networking, ML Studio and its sub-components, Azure Synapse, Azure DataBricks, Azure Stream Analytics, Azure Data factory, OpenAI, Github Actions, and Azure DevOps.</li>
<li>Experiences with version control tools such as Github.</li>
<li>Work experiences with typical data storage technologies and methodologies included data warehouse and data lake.</li>
<li>Work experience with APIs.</li>
<li>Expertise in SQL, NoSQL databases.</li>
<li>Ability to write Linux/Unix Shell Scripting.</li>
<li>Excellent communication skills.</li>
<li>Ability to work in a team.</li>
<li>Outstanding analytical and problem-solving skills.</li></ul> 


Working Hours:

Eastern Standard Time (EST)</div>

Azure Machine Learning Engineer - (Remote)

DevTech Fusion

Job description:The TalentBeacon is pleased to bring an exciting and high reward career opportunity at our partner company, DevTech Fusion!Position: IT Sales EngineerLocation: Lahore, PakistanExperience Required: Minimum 2 Years in IT SalesIndustry: Information Technology (SaaS, Product Development, Cyber Security Solutions)About the Role: We are seeking a dynamic and results-driven IT Sales Engineer to join our team in Lahore. The ideal candidate will have a proven track record of building and managing a Sales Pipeline, presenting IT solutions, and closing deals in the local market. This role requires a blend of technical knowledge, communication skills, and business acumen to effectively engage with clients and deliver value-driven IT solutions.Key Responsibilities<ul><li>Develop, manage, and expand the sales pipeline in the Lahore market.</li><li>Identify, qualify, and pursue business opportunities for IT Product Development (ERP, POS, Accounting, SaaS, Custom Software, Mobile Apps, etc.).</li><li>Conduct initial client presentations and demos to explain technical solutions in a business-friendly manner.</li><li>Actively promote and sell Cyber Security solutions, including firewalls, endpoint security, and network protection.</li><li>Collaborate with the technical and product teams to align solutions with client requirements.</li><li>Meet and exceed monthly/quarterly sales targets through proactive prospecting and client engagement.</li><li>Maintain accurate records of leads, opportunities, and customer interactions using CRM tools.</li><li>Stay updated with emerging IT technologies and market trends, particularly in SaaS and Cyber Security.</li><li>Build and maintain strong, long-term customer relationships.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, Business Administration, or related field.</li><li>Minimum 2 years of proven sales experience in IT solutions (SaaS / Product Development / Cyber Security).</li><li>Strong understanding of IT product lifecycle, SaaS models, and Cyber Security solutions. Excellent presentation, negotiation, and communication skills.</li><li>Ability to translate technical features into business benefits. Strong local market knowledge and existing sales pipeline in Lahore.</li><li>Self-motivated, target-driven, and capable of working independently.</li></ul>Preferred Skills:<ul><li>Experience with CRM tools (Clickup, Zoho, etc.).</li><li>Familiarity with cloud platforms (AWS, Azure, GCP).</li><li>Prior exposure to SMEs, enterprise clients, or government IT procurement.</li></ul>What We Offer:<ul><li>Competitive salary plus sales incentives/commissions.</li><li>Opportunity to work with cutting-edge IT solutions &amp;amp; cyber security products.</li><li>Professional growth in a rapidly scaling company.</li><li>Collaborative and innovation-driven work environment.</li></ul>Apply today!Job Type: Full-timeApplication Question(s):<ul><li>Have you completed your Bachelor's Degree?</li><li>Do you have experience building and managing sales pipeline?</li><li>How much experience do you have in IT sales?</li><li>Are you comfortable commuting to the job's location?</li></ul>Work Location: In person

IT Sales Engineer

Explore 767+ Data pipeline engineer in Lahore this October. Find roles across top companies and apply now to boost your career.

767 data pipeline engineer jobs IN Lahore

Data Engineer, Tech

Python Data Engineer (ETL & AWS)

AI Automation Engineer – Chai Vision - US Based Company Office in Lahore - USD Salary

Data Engineer

Data Engineer

Azure Machine Learning Engineer - (Remote)

IT Sales Engineer