data entry operator

data engineer

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data developer

Techbridge Consultancy Services

We are looking for a motivated Data Engineer with 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>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>Work Location: In person

Data Engineer

InvoZone

Job descriptionInvoZone is a leading software development company headquartered in the US with offices in Canada, Malaysia and Pakistan. We offer a combination of consulting, outsourcing, and specialized services to a global clientele across all types of web and mobile app development projects. The company was launched by experienced and visionary IT professionals with more than 10 years of industry experience in the fraternity of software development.We take pride in our diversified team that consists of people from both local and international backgrounds working together to strive for excellence. If you think you have the technical skills to contribute to our fast-growing business, feel free to apply. We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and machine learning initiatives for our clients. Key Responsibilities:<ul><li>Design, build, and maintain scalable ETL/ELT pipelines for processing large datasets.</li><li>Develop and optimize data architectures and data models to support analytics and business intelligence.</li><li>Integrate data from multiple sources such as APIs, databases, and third-party platforms.</li><li>Build and maintain data warehouses and data lakes.</li><li>Ensure data quality, reliability, and performance of data pipelines.</li><li>Collaborate with data analysts, data scientists, and software engineers to support data-driven applications.</li><li>Implement data governance, security, and compliance standards.</li><li>Monitor and troubleshoot data pipeline issues and optimize performance.</li><li>Document data flows, systems, and processes for internal teams and clients.</li></ul>Required Skills &amp; Expertise:<ul><li>3&ndash;5 years of experience in data engineering or a related role.</li><li>Strong experience with SQL and relational databases.</li><li>Hands-on experience building ETL pipelines.</li><li>Proficiency in Python, Scala, or Java for data processing.</li><li>Experience with data warehousing concepts and dimensional modeling.</li><li>Familiarity with big data frameworks such as Apache Spark or Hadoop.</li><li>Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Engineering, or a related field.</li></ul>Job Type: Full-timeJob Type: Full-timeWork Location: In person

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

AU Software

Full Stack Engineer / Web DeveloperLahore, Punjab, Pakistan Job DescriptionWe are seeking a full stack developer with adequate experience to work independently and with minimal supervision. The successful candidate will report to the Senior Web Developer.The successful candidate will work in Lahore, Pakistan. The role includes and is not limited to:<ul><li>Design database architecture and Implement the MySQL querying language.</li><li>Develop TypeScript.</li><li>Develop backend PHP architecture.</li><li>Develop Data Passing JSON structure between the current and new webpages.</li><li>Develop website's UI design</li><li>Taking responsibility for version controls in the project with branch merging, resolving merge conflicts and reviewing team codes before pushing to the server.  </li></ul>Frameworks used in website:<ul><li>Angular</li><li>Front end: HTML5, CSS, Typescripts</li><li>Data Passing: REST APIs (JSON)</li><li>Back end: Python and PHP</li><li>Server hosting: Amazon Web Services (AWS)</li><li>Query language: MySQL deployed in RDS</li><li>Version Control: Git</li><li>Process Management: JIRA &amp; Agile methodology</li></ul> Requirements for the Job:<ul><li>University level degree in computer science, software engineering or IT related field.</li><li>Experienced and a proven ability to work as a full stack web developer.</li><li>Ability to work independently.</li></ul> Qualifications- At least 3 years experience across the full development lifecycle- Must be able to work independently under minimal supervision- A strong working knowledge of Angular, Python and PHP.- Hands-on experience using relational databases like mySQL- High attention to detail with a problem-solving aptitude- Completed a degree in software engineering or computer science- To enjoy working in a startup culture. Additional InformationNo agencies, please.

Full Stack Engineer / Web Developer

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a skilled Data Engineer with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.
You will be responsible for ingesting, cleaning, validating, and structuring complex multi-source financial datasets to enable high-quality time-series model training and analytics.
This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.
Key Responsibilities<ul><li>
Design, develop, and maintain automated ETL/ELT pipelines from CSV/Excel exports within secure enterprise environments.
</li><li>Perform data cleaning, normalization, validation, and integrity checks on financial transaction datasets.
</li><li>Execute entity mapping, currency standardization, and data synthesis across multiple legal entities and G/L accounts.
</li><li>Build exploratory data analysis (EDA) pipelines, including statistical analysis of financial flow patterns and seasonality.
</li><li>Develop feature stores with pre-computed lag and rolling statistics for ML forecasting consumption.
</li><li>Ensure high data quality through validation frameworks and automated integrity checks.
</li><li>Document data pipelines, quality reports, and technical handoff materials for ML Engineering teams.
</li><li>Collaborate closely with ML engineers, domain subject matter experts, and stakeholders.</li></ul> 

Requirements 
<ul><li>
3+ years of hands-on experience building production-grade data engineering pipelines.
</li><li>Strong Python expertise (Pandas, NumPy) and SQL proficiency.
</li><li>Experience using Jupyter notebooks for EDA and reporting.
</li><li>Proven experience handling complex financial datasets (transactions, general ledger, settlements, multi-currency data).
</li><li>Strong knowledge of data validation frameworks and quality assurance methodologies.
</li><li>Experience parsing and processing large CSV/Excel datasets at scale.
</li><li>Familiarity with corporate network security protocols and access control environments.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.
</li></ul>Nice to Have<ul><li>
Financial domain experience (intercompany transactions, treasury operations).
</li><li>Experience preparing time-series datasets for ML forecasting models.
</li><li>Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
</li><li>Experience working with cloud data platforms (AWS S3, GCP BigQuery, Azure Data Lake).
</li></ul>Why Join CodeNinja?<ul><li>
Work on cutting-edge AI and financial forecasting solutions.
</li><li>Collaborate with high-performing engineers and AI specialists.
</li><li>Exposure to enterprise-grade secure environments and global clients.
</li><li>Opportunity to contribute to impactful, data-driven transformation initiatives.
</li><li>A culture that values ownership, growth, and continuous learning.
</li><li>Competitive compensation and career progression opportunities.
</li></ul>Equal Opportunity &amp; Disclaimer
CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, national origin, disability status, or any other characteristic protected by applicable laws.
Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

CodeNinja Inc.

<div>
 
 About CodeNinja
 
 
 
 
 CodeNinja
 
 is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
 
 
 
 Role Overview
 
 
 
 We are seeking a skilled
 
 Data Engineer
 
 with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.
 
 
 You will be responsible for ingesting, cleaning, validating, and structuring complex multi-source financial datasets to enable high-quality time-series model training and analytics.
 
 
 This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ETL/ELT pipelines from CSV/Excel exports within secure enterprise environments.
 </li>
 <li>
 Perform data cleaning, normalization, validation, and integrity checks on financial transaction datasets.
 </li>
 <li>
 Execute entity mapping, currency standardization, and data synthesis across multiple legal entities and G/L accounts.
 </li>
 <li>
 Build exploratory data analysis (EDA) pipelines, including statistical analysis of financial flow patterns and seasonality.
 </li>
 <li>
 Develop feature stores with pre-computed lag and rolling statistics for ML forecasting consumption.
 </li>
 <li>
 Ensure high data quality through validation frameworks and automated integrity checks.
 </li>
 <li>
 Document data pipelines, quality reports, and technical handoff materials for ML Engineering teams.
 </li>
 <li>
 Collaborate closely with ML engineers, domain subject matter experts, and stakeholders
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building production-grade data engineering pipelines.
 </li>
 <li>
 Strong Python expertise (Pandas, NumPy) and SQL proficiency.
 </li>
 <li>
 Experience using Jupyter notebooks for EDA and reporting.
 </li>
 <li>
 Proven experience handling complex financial datasets (transactions, general ledger, settlements, multi-currency data).
 </li>
 <li>
 Strong knowledge of data validation frameworks and quality assurance methodologies.
 </li>
 <li>
 Experience parsing and processing large CSV/Excel datasets at scale.
 </li>
 <li>
 Familiarity with corporate network security protocols and access control environments.
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Financial domain experience (intercompany transactions, treasury operations).
 </li>
 <li>
 Experience preparing time-series datasets for ML forecasting models.
 </li>
 <li>
 Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
 </li>
 <li>
 Experience working with cloud data platforms (AWS S3, GCP BigQuery, Azure Data Lake).
 
 
 </li>
 </ul>
 
 Why Join CodeNinja?
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI and financial forecasting solutions.
 </li>
 <li>
 Collaborate with high-performing engineers and AI specialists.
 </li>
 <li>
 Exposure to enterprise-grade secure environments and global clients.
 </li>
 <li>
 Opportunity to contribute to impactful, data-driven transformation initiatives.
 </li>
 <li>
 A culture that values ownership, growth, and continuous learning.
 </li>
 <li>
 Competitive compensation and career progression opportunities.
 
 
 </li>
 </ul>
 
 Equal Opportunity &amp; Disclaimer
 
 
 
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, national origin, disability status, or any other characteristic protected by applicable laws.
 
 
 Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund
 </li>
 <li>
 Gym Membership
 </li>
 <li>
 Leaves as per the company policy
 </li>
 <li>
 Company-paid trips
 </li>
 <li>
 Easy Loan Facility for Employees
 </li>
 <li>
 Yearly increment
 </li>
 <li>
 Maternity Benefits (Leaves &amp; WFH)
 </li>
 <li>
 Health Insurance (Maternity covered) - includes spouse and parents (till age 80)
 </li>
 </ul>
</div>

RMA Metering Private Limited

Backend Developer Intern Responsibilities<ul><li>Develop server-side logic for web applications</li><li>Build and maintain APIs (REST / GraphQL)</li><li>Integrate front-end components with backend services</li><li>Work with databases to store and retrieve data</li><li>Debug and optimize backend performance</li></ul>Skills RequiredImportant backend skills:<ul><li>Python, Java, or Node.js</li><li>Database management (MySQL, PostgreSQL, MongoDB)</li><li>Understanding of RESTful APIs</li><li>Version control with Git</li><li>Basic knowledge of server and hosting environments</li></ul>Tools/Frameworks Often Used<ul><li>Django</li><li>Spring Boot</li><li>Express.js</li><li>Postman</li></ul>Education Requirements<ul><li>Bachelor of Science in Computer Science</li><li>Bachelor of Science in Software Engineering</li><li>Bachelor of Science in Information Technology</li></ul>Internship Duration<ul><li>4 months</li></ul>Career PathAfter internship you can become:<ul><li>Junior Backend Developer</li><li>API Developer</li></ul>Internship Policy:<ul><li>Duration: 4 months</li><li>First Month: Unpaid (training &amp; evaluation phase)</li><li>Stipend: PKR 15,000 per month from 2nd month onward (subject to performance evaluation)</li><li>Certification: Internship Completion Certificate upon successful completion of 4 months; otherwise, no certificate will be issued</li><li>Post-Internship Review: A combined performance review meeting will be conducted involving HOD Department, PM, and HR to recommend suitable internees for employment</li><li>Employment Offer (if selected):</li><li>Starting Salary: PKR 30,000</li><li>Probation Period: 3 months</li><li>Post-Probation Increment: PKR 20,000 (subject to satisfactory performance)</li></ul>NOTE: If you successfully complete the four-month internship, you may be offer/ considered for a full-time job opportunity with the company.Pay: Rs15,000.00 per monthWork Location: In person

Internship -Backend Developer

Explore 674+ Data developer in Lahore this March. Find roles across top companies and apply now to boost your career.

674 data developer jobs In Lahore

Data Engineer

Data Engineer

Data Engineer, Tech

Full Stack Engineer / Web Developer

Data Engineer

Data Engineer

Internship -Backend Developer