planning engineer

ai engineer

data analyst

data scientist

senior data analyst

data pipeline engineer

Cosmo Resources

Role OverviewWe are looking for a Junior Data Engineer to support the design, development, and maintenance of data pipelines and data platforms. The role requires foundational experience in Azure-based data services and a basic understanding of modern data engineering practices. Exposure to Databricks is preferred.Key Responsibilities<ul><li>Assist in building and maintaining data pipelines using Azure data services</li><li>Support data ingestion, transformation, and integration from multiple sources</li><li>Work with structured and unstructured datasets to enable analytics and reporting</li><li>Collaborate with senior engineers and analysts to understand data requirements</li><li>Ensure data quality, consistency, and reliability across pipelines</li><li>Participate in debugging, monitoring, and optimizing data workflows</li><li>Document data processes, pipelines, and workflows</li></ul>Required Skills &amp; Qualifications<ul><li>1&ndash;3 years of experience in data engineering or related roles</li><li>Basic hands-on experience with Azure data services such as Azure Data Factory, Azure Data Lake, or Azure SQL</li><li>Strong SQL skills and understanding of relational databases</li><li>Familiarity with Python or similar programming language</li><li>Understanding of ETL/ELT processes and data pipeline concepts</li><li>Knowledge of data warehousing fundamentals</li></ul>Preferred Qualifications<ul><li>Exposure to Databricks or Apache Spark</li><li>Understanding of cloud-based data architectures</li><li>Familiarity with version control tools such as Git</li><li>Basic understanding of data modeling concepts</li></ul>Job Type: Full-timeWork Location: In person

Junior Data Engineer

Contour Software

<div>About Contour
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years. 
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers. 
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!<div><div>
The Division: 
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals &ndash; including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.</div><div>
The Position: 
We are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.</div><div>
The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&amp;D department.</div><div>
Role and Responsibilities:</div><div><ul><li>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</li></ul></div><div><ul><li>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</li></ul></div><div><ul><li>
Develop and expand the organization&rsquo;s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.</li></ul></div><div><ul><li>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</li></ul></div><div><ul><li>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</li></ul></div><div><ul><li>
Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.</li></ul></div><div><ul><li>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</li></ul></div><div><ul><li>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</li></ul></div><div>
Required Skills:</div><div><ul><li>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</li></ul></div><div><ul><li>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</li></ul></div><div><ul><li>
Deep understanding of data warehouse concepts, architectures, and structures.</li></ul></div><div><ul><li>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</li></ul></div><div><ul><li>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</li></ul></div><div><ul><li>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</li></ul></div><div><ul><li>
Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.</li></ul></div></div><div><div><ul><li>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</li></ul></div><div><ul><li>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</li></ul></div><div><ul><li>
Experience integrating Python applications with RESTful APIs and external services</li></ul></div><div><ul><li>
Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.</li></ul></div><div><ul><li>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</li></ul></div><div><ul><li>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</li></ul></div><div><ul><li>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</li></ul></div></div>
Exciting Benefits we offer:<ul><li>
Market-leading Salary</li><li>
Medical Coverage &ndash; Self &amp; Dependents</li><li>
Parents Medical Coverage</li><li>
Provident Fund</li><li>
Employee Performance-based bonuses</li><li>
Home Internet Subsidy</li><li>
Conveyance Allowance</li><li>
Profit Sharing Plan [Tenured Employees Only]</li><li>
Life Benefit</li><li>
Child Care Facility</li><li>
Company Provided Lunch/Dinner</li><li>
Professional Development Budget</li><li>
Recreational area for in-house games</li><li>
Sporadic On-shore training opportunities</li><li>
Friendly work environment</li><li>
Leave Encashment</li></ul>
Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</div>

Data Engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Note: Only CV which are as per JD will be contacted. 
 
Job Title: Data Engineer / Senior Data Engineer 
Location : UAE - Onsite 
</h2><h3 class="jobSectionHeader">
Role Purpose</h3>
Design, develop, and maintain scalable data pipelines and modern data platforms using Microsoft Fabric and Azure ecosystem. The role involves building efficient data solutions that support analytics, reporting, and advanced data use cases across the organization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric</li><li>
Develop and optimize data workflows using PySpark and SQL</li><li>
Implement and manage Lakehouse architecture using Medallion (Bronze, Silver, Gold) layers</li><li>
Work with Azure Data Lake Storage (ADLS) and Delta Lake for efficient data storage and processing</li><li>
Integrate data from multiple sources ensuring data quality, consistency, and reliability</li><li>
Collaborate with BI developers and analysts to enable data models and reporting solutions</li><li>
Monitor, troubleshoot, and optimize data pipelines and performance issues</li><li>
Ensure data governance, security, and compliance best practices</li></ul><h3 class="jobSectionHeader">
Additional Responsibilities (Senior Data Engineer)</h3><ul><li>
Lead the design and architecture of scalable data platforms and solutions</li><li>
Define data engineering standards, best practices, and frameworks</li><li>
Mentor junior data engineers and review code for quality and performance</li><li>
Optimize large-scale data processing and improve system efficiency</li><li>
Collaborate with stakeholders to translate business requirements into technical solutions</li><li>
Drive adoption of Microsoft Fabric and modern data engineering practices across teams</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><h4 class="jobSectionHeader">
For Data Engineer (3&ndash;5 Years)</h4><ul><li>
Hands-on experience with Azure Data Factory (ADF) and ADLS</li><li>
Strong programming skills in PySpark and SQL</li><li>
Experience in building ETL pipelines and working with structured/unstructured data</li><li>
Basic understanding of Lakehouse and Medallion architecture</li><li>
Familiarity with Delta Lake concepts</li><li>
Good problem-solving and debugging skills</li></ul><h4 class="jobSectionHeader">
For Senior Data Engineer (5&ndash;10 Years)</h4><ul><li>
Extensive experience in Azure data ecosystem and Microsoft Fabric</li><li>
Strong expertise in designing end-to-end data architectures</li><li>
Deep understanding of Lakehouse, Medallion architecture, and Delta Lake</li><li>
Proven experience in handling large-scale distributed data processing</li><li>
Strong performance tuning and optimization skills</li><li>
Experience leading projects and mentoring teams</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in Azure Databricks</li><li>
Knowledge of data modeling and data warehousing concepts</li><li>
Exposure to data governance and data quality frameworks</li><li>
Experience working in Agile environments</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong communication and stakeholder management skills</li><li>
Analytical thinking and problem-solving mindset</li><li>
Ability to work independently and in a collaborative team environment</li></ul>
Pi3WGqPOnG</div>

Data Engineer / Senior Data Engineer

Flatgigs

<div>
 FlatGigs is seeking a skilled
 
 Data Engineer (AI and Python)
 
 to join our dynamic team. In this role, you will build and maintain robust data pipelines and infrastructure that power AI-driven applications and analytics. You will work closely with data scientists and AI engineers to support scalable machine learning workflows and drive data innovation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL pipelines using Python to handle large volumes of structured and unstructured data
 </li>
 <li>
 Collaborate with AI teams to develop data solutions that enable efficient model training, evaluation, and deployment
 </li>
 <li>
 Implement data ingestion, cleansing, and transformation processes to ensure high-quality datasets for AI workflows
 </li>
 <li>
 Optimize data workflows and storage solutions for performance and reliability
 </li>
 <li>
 Work with cloud platforms (AWS, Azure, or GCP) to deploy and monitor data pipelines and related infrastructure
 </li>
 <li>
 Maintain documentation and enforce data governance and compliance policies
 </li>
 <li>
 Participate in code reviews, testing, and continuous integration to deliver robust production-ready data solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Data Science, or related field
 </li>
 <li>
 3+ years of professional experience in data engineering with a focus on AI and ML workflows
 </li>
 <li>
 Strong proficiency in Python programming and experience using libraries such as Pandas, NumPy, and Airflow
 </li>
 <li>
 Hands-on experience building and managing ETL/ELT pipelines
 </li>
 <li>
 Good understanding of cloud platforms (AWS, Azure, or GCP) and familiarity with deploying data infrastructure
 </li>
 <li>
 Experience with SQL and NoSQL databases
 </li>
 <li>
 Familiarity with container orchestration tools such as Docker and Kubernetes is a plus
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Knowledge of AI/ML concepts and ability to collaborate effectively with data science teams
 </li>
 <li>
 Experience with distributed data processing frameworks like Apache Spark
 </li>
 <li>
 Understanding of data security, compliance, and best practices in data engineering
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Market Competitive Salary
 
 
 Leaves
 
 
 Health Insurance
 
 
 Hybrid Work Model
</div>

Data Engineer - (AI and Python)

Mashreq

<div>
 Data &amp; Analytics Driven Organization: One Data Analytics &amp; AI Business Unit drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. Wholesale &amp; Ops Data team is a stream within One Data Organization driving this agenda for Wholesale &amp; Ops Banking function.
 
 
 - Data Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.
 
 - This role requires to have a knowledge of core system, payment systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan and other IBG regions etc.
 
 - Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
 
 - The work involves developing new requirements in both on-premises and cloud data lake&rsquo;s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank&rsquo;s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.
</div>

Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE

The Ghani IT Solutions

Role Overview:We are seeking a Senior AI Engineer to architect and build a high-performance, custom Voice AI infrastructure. This role focuses on developing an end-to-end real-time audio processing pipeline and an intelligent NLP engine capable of synthesizing complex regulatory data into actionable insights with sub-second latency.Key Responsibilities:- Custom Voice Infrastructure: Develop a proprietary, low-latency audio pipeline integrating Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS).- Intelligent Data Parsing: Architect agentic workflows to ingest complex documentation and translate technical/legal jargon into plain-language summaries.- Real-time Audio Streaming: Manage full-duplex audio transmission using WebSockets and WebRTC to achieve human-like conversational responsiveness.- Automated Information Retrieval: Build scalable scrapers and API consumers to monitor high-frequency data sources and public registries for real-time updates.- Advanced RAG Systems: Implement sophisticated Retrieval-Augmented Generation (RAG) using Vector Databases to provide the AI with deep contextual awareness.Technical Requirements:- Programming: Expert-level Python; experience with asynchronous programming and high-concurrency systems.- NLP &amp; AI: Proven experience with LangChain, LlamaIndex, and fine-tuning open-source LLMs.- Speech Processing: Experience with real-time transcription (STT) and neural speech synthesis (TTS) engines.- Data Systems: Proficiency with Vector DBs (e.g., Pinecone, Milvus) and SQL/NoSQL databases.- Protocols: Strong understanding of WebSockets, WebRTC, and real-time data streaming.Location: DHA Phase 6, KarachiShift: MorningWork Location: In person

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

Qureos

About Qureos Hiring is broken. Slow. Manual. Expensive.At Qureos, we’re rebuilding how companies hire using AI, structured processes, and smart automation.We move fast. We test aggressively. We scale what works.Now we’re looking for a GTM Engineer who can build the engine behind our revenue machine.If you enjoy scraping clean data, wiring tools together, automating workflows, and watching pipeline velocity improve because of systems you built — keep reading. The Role This isn’t traditional RevOps.This is hands-on, technical GTM engineering.You’ll sit at the intersection of:<ul><li>Sales</li><li>Growth</li><li>Data</li><li>Automation</li></ul> Your mission: Build and optimize the infrastructure that powers our entire revenue engine. What You’ll Own <ol><li>Lead Intelligence &amp; List Building - Scrape and enrich lead data using tools and scripts - Build high-quality, segmented lead lists - Use LinkedIn Sales Navigator, scraping tools, APIs, and enrichment platforms - Continuously improve data quality and targeting logic - Outbound shouldn’t rely on guesswork. It should run on signal.  </li><li>GTM Automations - Build automations using Make / Zapier - Connect HubSpot, Zoho, LinkedIn, Airtable, and other tools - Design workflows that eliminate manual tasks - Automate lead routing, enrichment, tagging, and lifecycle transitions - If it’s repetitive, it should be automated.  </li><li>Sales &amp; SDR Sequences - Set up and optimize outbound sequences - Structure email + LinkedIn cadences - Align messaging workflows with ICP segments - Improve conversion rates across touchpoints - Sequences are systems. Systems should be engineered.  </li><li>Integrations &amp; Infrastructure - Connect tools across the revenue stack - Build API-based integrations where needed - Write Python scripts for scraping and automation - Maintain data integrity across systems - Troubleshoot workflow issues proactively - You should be comfortable going from no-code to code when needed.  </li><li>Reporting &amp; Revenue Insights - Review performance numbers across the funnel - Track pipeline coverage and velocity - Maintain clean dashboards and reporting structures - Use Mixpanel, Airtable, CRM data to provide actionable insights - Identify bottlenecks and propose fixes - This role is not just building systems — it’s improving them.</li></ol> Who You Are <ul><li>2–5 years experience in GTM, RevOps, Growth Ops, or technical sales operations</li><li>Comfortable with both no-code tools and writing scripts</li></ul> Experience with: <ul><li>HubSpot</li><li>Zoho</li><li>LinkedIn Sales Navigator</li><li>Make / Zapier</li><li>Python (scraping / automation)</li><li>Mixpanel</li><li>Airtable</li><li>Strong understanding of outbound and pipeline mechanics</li><li>Numbers-driven, you care about conversion rates, velocity, and coverage</li><li>Builder mindset: high ownership, fast execution</li><li>Comfortable working in ambiguity</li><li>Thinks in systems, not tasks</li></ul> You don’t wait for instructions.You identify inefficiencies and fix them. What Good Performance Looks Like <ul><li>Clean, scalable GTM infrastructure</li><li>2–3x pipeline coverage maintained</li><li>Reduced manual work across SDR &amp; sales teams</li><li>Accurate reporting and visibility</li><li>Faster lead-to-meeting conversion</li><li>Revenue engine that runs smoother every month</li></ul> Why Join Qureos <ul><li>Build the backbone of a fast-scaling AI company</li><li>High ownership and autonomy</li><li>Direct impact on revenue growth</li><li>Work closely with growth and leadership</li><li>No bureaucracy. Just speed and execution.</li></ul> If building systems that drive revenue excites you more than maintaining spreadsheets, apply.Let’s engineer the growth engine.

Revenue Operations Specialist

Explore 870+ Data pipeline engineer in Karachi this April. Find roles across top companies and apply now to boost your career.