data entry operator

ai engineer

data analyst

data entry officer

devops engineer

big data engineer

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
 </li>
 <li>
 Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
 </li>
 <li>
 Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
 </li>
 <li>
 Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
 </li>
 <li>
 Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
 </li>
 <li>
 Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
 </li>
 <li>
 Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
 </li>
 <li>
 Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
 </li>
 <li>
 Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
 </li>
 <li>
 Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
 </li>
 <li>
 Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
 </li>
 <li>
 Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Familiarity with data integration and workflow management tools such as Apache Airflow
 </li>
 <li>
 Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
 </li>
 <li>
 Attention to detail and a strong commitment to delivering high-quality work within established timelines.
 </li>
 <li>
 Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.
 </li>
 </ul>
</div>

Senior Data Warehouse Engineer I

Systems Limited

<div>We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work closely with data scientists, analysts, and software engineers to ensure reliable data availability and optimize data systems for analytics and machine learning.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul>
<li>Design, develop, and maintain scalable data pipelines for processing large datasets.
</li>
<li>Build and manage ETL/ELT workflows for data ingestion, transformation, and loading.
</li>
<li>Develop and optimize data warehouse and data lake architectures.
</li>
<li>Ensure data quality, reliability, and integrity across data platforms.
</li>
<li>Work with cross-functional teams to understand data requirements.
</li>
<li>Implement data governance, security, and compliance standards.
</li>
<li>Monitor, troubleshoot, and optimize data systems for performance.
</li>
<li>Automate data workflows and scheduling processes.
</li>
</ul><h2 class="jobSectionHeader">Requirements:</h2>
<ul>
<li>Strong programming skills in Python, Java, or Scala
</li>
<li>Expertise in SQL
</li>
<li>Experience with Apache Spark, Apache Kafka, or Apache Airflow
</li>
<li>Knowledge of Hadoop ecosystem
</li>
<li>Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake
</li>
<li>Familiarity with cloud platforms like Amazon Web Services, Google Cloud, or Microsoft Azure
</li>
<li>Understanding of data modeling and database design</li></ul></div>

Senior Managing Consultant Data Analytics

CareCloud

Key Responsibilities:<ul><li>Develop, maintain, and optimize ETL/ELT data pipelines.</li><li>Extract, transform, and load healthcare data from multiple sources (EHR/EMR systems, billing systems, APIs, etc.).</li><li>Design and maintain databases, data warehouses, and data models.</li><li>Ensure data quality, integrity, and validation across systems.</li><li>Write efficient SQL queries for data extraction and reporting.</li><li>Collaborate with BI developers, analysts, and software engineers to deliver reliable datasets.</li><li>Support data integration with third-party healthcare systems.</li><li>Monitor and troubleshoot data pipeline issues.</li><li>Ensure compliance with healthcare regulations (e.g., HIPAA) and data security standards.</li><li>Maintain proper documentation of data processes and workflows.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Software Engineering, or related field.</li><li>1&ndash;2 years of hands-on experience in data engineering or data development.</li><li>Strong SQL skills and experience with relational databases (MySQL, PostgreSQL, SQL Server, etc.).</li><li>Basic understanding of data warehousing concepts and data modeling.</li><li>Experience with ETL tools or scripting (Python, Airflow, SSIS, or similar).</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.</li><li>Understanding of APIs and data integration techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and teamwork abilities.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthWork Location: In person

Data Engineer

ibex. Pakistan

<div>
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Manager &ndash; Data Engineering
 
 to lead the design, automation, governance, and optimization of enterprise data pipelines and modern data warehouse solutions. The ideal candidate will have strong expertise in ETL modernization, Snowflake environments, data quality controls, vendor integrations, and stakeholder collaboration to support executive reporting and business intelligence.
 
 
 This role requires both
 
 hands-on technical capability
 
 and
 
 team leadership
 
 , ensuring scalable, reliable, and governed data ecosystems.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Architecture &amp; ETL Modernization
 
 
 <ul>
 <li>
 Lead the transition from manual or legacy data processes to automated, scalable ETL frameworks.
 </li>
 <li>
 Design, build, and maintain robust ingestion pipelines using tools such as Informatica.
 </li>
 <li>
 Migrate and centralize transformation workflows to improve processing efficiency, scalability, and maintainability.
 </li>
 <li>
 Architect structured staging and transformation layers within Snowflake data warehouses.
 </li>
 </ul>
 
 
 2. Data Ingestion &amp; Integration
 
 
 <ul>
 <li>
 Manage end-to-end ingestion of financial and operational datasets from internal systems and vendor-hosted SFTP environments.
 </li>
 <li>
 Develop automated ingestion frameworks with post-load validation and structured data quality checks.
 </li>
 <li>
 Ensure reliable, secure, and governed data integration across multiple sources.
 </li>
 </ul>
 
 
 3. Data Quality, Governance &amp; Monitoring
 
 
 <ul>
 <li>
 Implement data validation frameworks, KPI monitoring, and anomaly detection mechanisms.
 </li>
 <li>
 Reduce vendor-related data incidents through proactive monitoring and root cause analysis.
 </li>
 <li>
 Establish best practices for data governance, documentation, and compliance.
 </li>
 <li>
 Maintain data integrity before downstream reporting and dashboard consumption.
 </li>
 </ul>
 
 
 4. Business Intelligence &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Partner with business stakeholders to ensure accurate executive reporting and evolving KPI alignment.
 </li>
 <li>
 Support and enhance Tableau dashboards by refining calculations, updating data models, and maintaining reporting logic.
 </li>
 <li>
 Act as the primary liaison between business users, vendors, and technical teams to resolve discrepancies and production issues.
 </li>
 </ul>
 
 
 5. Leadership &amp; Team Development
 
 
 <ul>
 <li>
 Mentor and guide data engineers on ETL best practices, automation, and data quality standards.
 </li>
 <li>
 Drive continuous improvement initiatives across data engineering processes.
 </li>
 <li>
 Promote scalable design patterns and performance optimization strategies.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years of experience in Data Engineering or related roles.
 </li>
 <li>
 Proven experience with:
 </li>
 <li>
 
 Snowflake
 
 data warehouse environments
 </li>
 <li>
 
 Informatica
 
 (or similar ETL tools)
 </li>
 <li>
 SQL (advanced querying &amp; performance optimization)
 </li>
 <li>
 Data modelling &amp; data warehousing concepts
 </li>
 <li>
 SFTP-based data integrations
 </li>
 <li>
 Experience migrating legacy transformation tools (e.g., Alteryx) to centralized ETL platforms.
 </li>
 <li>
 Strong understanding of data governance, validation frameworks, and quality controls.
 </li>
 <li>
 Experience supporting BI tools such as Tableau.
 </li>
 <li>
 Proficiency in Python for data processing and automation.
 </li>
 <li>
 Experience working with ERP and CRM data sources is preferred.
 </li>
 <li>
 Exposure to Databricks or modern data lake architectures is a plus.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or related field (Master&rsquo;s preferred).
 </li>
 </ul>
 
 
</div>

Datamatics Technologies

<div>
 Job Description
 
 
 Job Title:
 
 Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)
 
 
 Project:
 
 &nbsp;Demand Planning ML Models Initiative
 
 
 Role Level:
 
 Expert / Principal (Hands-on, Delivery-Focused)
 
 
 Employment Type:
 
 Full-Time
 
 
 Experience:
 
 &nbsp; 7+ Years
 
 
 Job Location:
 
 Remote
 
 
 Job Timing:
 
 Vietnam Time Zone
 
 Role Overview
 
 We are seeking an
 
 Expert Data Scientist
 
 with deep hands-on experience in
 
 machine learning&ndash;based demand forecasting
 
 to support the
 
 ANZ Demand Planning ML Models initiative
 
 .
 
 
 This role requires a senior practitioner capable of
 
 independently designing, developing, and delivering enterprise-grade demand forecasting models
 
 . The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.
 
 
 Key ResponsibilitiesDemand Planning &amp; Forecasting (Core Focus)
 <ul>
 <li>
 
 Lead the
 
 design, development, and optimization of ML-based demand forecasting models
 
 .
 
 </li>
 <li>
 
 Work extensively with
 
 time-series datasets related to sales, demand, and supply planning
 
 .
 
 </li>
 <li>
 
 Apply and optimize
 
 statistical forecasting techniques and machine learning algorithms
 
 .
 
 </li>
 <li>
 
 Perform
 
 advanced feature engineering
 
 incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.
 
 </li>
 <li>
 
 Conduct
 
 back-testing, validation, and scenario analysis
 
 to continuously improve forecast accuracy.
 
 
 </li>
 </ul>
 Data Science Leadership &amp; Delivery
 <ul>
 <li>
 
 Own the
 
 end-to-end data science lifecycle
 
 , from data exploration and model development to deployment support.
 
 </li>
 <li>
 
 Define, monitor, and optimize forecasting KPIs including
 
 MAPE, RMSE, and MAE
 
 .
 
 </li>
 <li>
 
 Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.
 
 </li>
 <li>
 
 Clearly communicate
 
 model logic, assumptions, and insights
 
 to business and executive stakeholders.
 
 
 </li>
 </ul>
 Collaboration &amp; Execution
 <ul>
 <li>
 
 Collaborate closely with
 
 Data Engineers, Analytics teams, and business stakeholders
 
 to operationalize forecasting models.
 
 </li>
 <li>
 
 Support
 
 production deployment, monitoring, and model performance improvements
 
 .
 
 </li>
 <li>
 
 Drive
 
 knowledge sharing and best practices
 
 in forecasting and machine learning across teams.
 
 
 </li>
 </ul>
 Required Experience
 <ul>
 <li>
 
 
 7+ years
 
 of experience in
 
 Data Science / Machine Learning
 
 .
 
 </li>
 <li>
 
 
 5+ years of hands-on experience in demand forecasting or demand planning using machine learning
 
 .
 
 </li>
 <li>
 
 Proven experience delivering
 
 production-grade or business-critical forecasting models
 
 .
 
 </li>
 <li>
 
 Strong experience working with
 
 enterprise-scale time-series datasets
 
 .
 
 
 </li>
 </ul>
 Technical Skills
 <ul>
 <li>
 
 Advanced
 
 Python for Data Science and Machine Learning
 
 .
 
 </li>
 <li>
 
 Strong expertise in
 
 time-series forecasting techniques
 
 (statistical and ML-based).
 
 </li>
 <li>
 
 Experience with machine learning models such as
 
 regression, tree-based models, and ensemble methods
 
 .
 
 </li>
 <li>
 
 Advanced
 
 feature engineering for demand and planning datasets
 
 .
 
 </li>
 <li>
 
 Strong
 
 SQL and data manipulation
 
 capabilities.
 
 </li>
 <li>
 
 Experience with
 
 forecast evaluation metrics (MAPE, RMSE, MAE)
 
 .
 
 
 </li>
 </ul>
 Soft Skills
 <ul>
 <li>
 
 Strong
 
 ownership and accountability mindset
 
 .
 
 </li>
 <li>
 
 Excellent
 
 analytical and problem-solving capabilities
 
 .
 
 </li>
 <li>
 
 Ability to
 
 communicate complex technical concepts to non-technical stakeholders
 
 .
 
 </li>
 <li>
 
 Comfortable working in
 
 fast-paced environments with tight delivery timelines
 
 .
 
 </li>
 </ul>
</div>

Expert Data Scientist

TechnoSys

Company Description: TechnoSys is a dynamic team of professionals serving the IT sector in Pakistan since 1998. We specialize in retail ERP software solutions and cater to Pakistan's top-notch local retail brands across various verticals, including Restaurant, Bakery, Supermarket, Fashion Retail, Optician, and Distributors. Our commitment to innovation and excellence has made us a leader in the industry. Join our team and contribute to shaping the future of retail technology.Role Description: This is a full-time on-site role for an Artificial Intelligence Engineer located in Karachi. The AI Engineer will be responsible for designing and developing AI models, implementing machine learning algorithms, and conducting research on advanced AI technologies. Day-to-day tasks include pattern recognition, natural language processing, and neural networks development. The AI Engineer will collaborate with cross-functional teams to integrate AI solutions into software products and enhance system capabilities.Requirements: <ul><li>Design, develop, and implement AI/ML models for various business applications.</li><li>Research and apply the latest AI technologies and best practices.</li><li>Train, test, and evaluate models using appropriate datasets.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Collaborate with software developers, data scientists, and product teams to integrate AI solutions into production systems.</li><li>Maintain and monitor deployed models to ensure reliability and performance.</li><li>Document model architecture, process flow, and performance metrics.</li><li>Contribute to innovation by proposing new AI-based features and tools.</li></ul>Qualification:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Proven experience in AI/ML development (minimum 2&ndash;3 years preferred).</li><li>Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras, etc.).</li><li>Strong understanding of data structures, algorithms, and statistical methods.</li></ul>Details: <ul><li>Timings: 9 am - 6 pm</li><li>Days: Monday to Friday</li><li>Market Competitive Salary package</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

BGB Group

<div>BGB Group

Power Platforms Engineer

Our Agency

BGB Group is a healthcare communications agency that offers a wide range of services, including advertising, medical education, payer marketing, and consulting services. Known for excellence and professionalism, we're hired as strategic and creative partners by our biopharmaceutical clients to drive category/brand awareness and growth.

Position Overview

The Power Platforms Engineer will design and deploy enterprise-grade automation solutions that streamline workflows, enhance data connectivity, and integrate seamlessly across Microsoft 365, Power BI, and Fabric environments.

Key Responsibilities:
<ul>
<li>Develop End-to-End Cloud Flows: 
Build scalable, event-driven Power Automate flows that replace manual processes across Finance, HR, PMO, and Operations. 
Leverage connectors for SharePoint, Teams, Outlook, Power BI, Salesforce &amp; OpenAir to create integrated business automations.</li>
<li>Integrate with Data &amp; BI Systems: 
Develop Power Automate processes that interface directly with Power BI Datasets, executing DAX or SQL queries to extract
 
and route data-driven insights dynamically. 
Orchestrate validation and sync processes between Fabric Lakehouse data &amp; Power BI models.</li>
<li>RPA (Robotic Process Automation): 
Streamline legacy or browser-based operations with unattended bots and UI-based automation. 
Configure unattended bots and virtual agents for operational consistency and time savings.</li>
<li>Connectivity &amp; Governance: 
Build secure, governed connections using service principals, Azure AD app registrations, and API authentication. 
Develop audit logs, error-handling layers, and alert systems to track data and data integrity.</li>
<li>Monitoring &amp; Optimization: 
Track and optimize performance through the Power Platform Admin Center. 
Implement alerting, error handling, and retry logic to maintain reliability and SLA compliance.</li>
</ul>
Qualifications:
<ul>
<li>Advanced expertise in Power Automate Cloud Flows, Power Automate Desktop, and Microsoft.</li>
<li>Strong understanding of HTTP requests, JSON schema parsing, Azure Logic Apps, and REST API integration.</li>
<li>Ability to work with Power BI REST API, Fabric Lakehouse APIs, Graph API, and OData endpoints.</li>
<li>Experienced in governance, version control, and environment management within the Power Platform</li></ul></div>

Power Platforms Engineer

Explore 686+ Big data engineer in Karachi this March. Find roles across top companies and apply now to boost your career.

686 big data engineer jobs In Karachi

Senior Data Warehouse Engineer I

Senior Managing Consultant Data Analytics

Data Engineer

Data Engineer

Expert Data Scientist

AI Engineer

Power Platforms Engineer