data analyst

database developer (sql)

devops engineer

ai engineer

artificial intelligence engineer Jobs in Karachi

artificial intelligence engineer

data engineer

Squarera

Are you a passionate pioneer in technology?If so, consider an opportunity with SQUARERA with a full career path within the firm. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills include familiarity with several programming languages.As a future Trainee Data Engineer, you should have the ability to share new ideas and collaborate within team. If you are detail-oriented, with excellent organizational skills and have some knowledge in this field, we&rsquo;d like to hear from you.Fresh graduates or done with their final semester candidates are encouraged to apply!Job Responsibilities:As a data engineer trainee, you will/may:<ul><li>Collect and process log events from multiple data sources to support the design, implementation, automation and deployment of our distributed system.</li><li>Design data schema and optimization of SQL/NoSQL database systems.</li><li>Work collaboratively in designing, development, and maintenance of ongoing metrics, reports, analyzes, and dashboards to drive key business decisions.</li><li>Monitor and troubleshoot operational or data issues in the data pipelines.</li><li>Develop visual automated data pipelines able to process millions of data points.</li><li>You will be responsible for the technical development of any new data integration solution to be plugged into the overall data architecture.</li><li>Undergraduates &amp; candidates outside of Karachi please do not apply.</li></ul>BASIC QUALIFICATIONS<ul><li>Currently enrolled in or will receive a Bachelor&rsquo;s in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline.</li><li>Strong knowledge of SQL.</li></ul>Key Competencies:<ul><li>Attention to detail</li><li>Data collection, management, and analysis</li><li>Problem analysis and problem-solving</li><li>Planning and organizing</li><li>Decision-making</li><li>Teamwork</li><li>Ability to think and work independently</li></ul>Perks &amp; Benefits (After selection as a full-time employee)<ul><li>Travel Abroad Opportunities</li></ul>Note: The selected trainees would have:<ul><li>To sign an undertaking for 27 months</li><li>Medical Insurance</li><li>Annual Bonus</li><li>Yearly Increment</li></ul>Job Type: Full-timeWork Location: In person

Trainee Data Engineer

Liquid Technologies

Liquid Technologies (LiqTeq) is an end-to-end Design and Development Agency. LiqTeq offers various services in DevOps, Data services, and AI to multiple businesses and organizations and those that are in the startup phase. We're a team of creators, thinkers, explorers, and judo trainees. We approach work and play with curiosity and experimentation, using what we learn to create meaningful digital products that connect with people, just like you.Job Description <ul><li>Assemble large, complex data sets and build data pipelines that meet functional, non-functional business and data monetization requirements.</li><li>Work with the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and cloud-based data storage and analytics services such as AWS, Snowflake etc</li><li>Build analytics tools that utilize the data pipeline to provide actionable insights</li><li>Architect and implement large scale data intelligence solutions around various warehouse solutions by various technologies</li><li>Understand data transformation and translation requirements and which tools to leverage to get the job done</li><li>Developing ETL pipelines in and out of data warehouse using a combination of Python and Snowflakes Snow SQL</li><li>Provide production support for Data Warehouse issues such as data load problems, transformation, and translation problems</li><li>Translate requirements for BI and Reporting to database design</li><li>Understanding data pipelines and modern ways of automating data pipelines using cloud</li><li>Ability to build conceptual, physical and logical data models</li><li>Utilize database and web application technologies to design, develop, and evaluate innovative business intelligence tools and automate reports</li><li>Merge BI platforms with enterprise systems and applications and document models, solutions, and implementations.</li><li>Work with various internal and stakeholders including the product, data and design teams to assist with data-related technical issues.</li></ul>Qualification - Experience Requirements:<ul><li>Minimum 2 years of experience in the data engineering role is a must.</li><li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.</li><li>Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.</li><li>Data engineering experience with database-centric and pipeline-centric roles ○ Strong analytic skills related to working with unstructured datasets.</li><li>Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.</li><li>A solid experience and understanding of architecting, designing and operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse is a must.</li><li>Solid proficiency in data warehousing concepts (ETL, Stage/Core layer, Dimensional Modeling, Data Marts etc.) and SQL programming</li><li>Ability to capture customer requirements and translate into functional and technical solutions</li><li>Past experience in using Enterprise BI tools like PowerBI, Tableau, Oracle BI, Oracle Analytics Cloud, AWS, Azure And GCP etc.</li><li>Ability to develop technical design documentation, training and presentation material</li><li>Understanding and experience of working in an agile project environment</li><li>Highly proficient in DDL, DML, DCL, TCL, and DQL</li><li>Experience with big data tools: Apache Hadoop, Spark, Kafka, Storm, Airflow is a plus.</li><li>Experience with relational SQL and NoSQL databases.</li><li>Experience with AWS cloud services: EC2, EMR and RDS is a plus</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with relational databases and SQL?</li><li>Have you worked with big data tools like Spark, Hadoop, or Kafka?</li><li>Have you built ETL pipelines using Python and Snowflake in a production environment?</li><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Are you comfortable to manage your commute to Zamzama DHA Phase V?</li></ul>Work Location: In person

Data Engineer

Confiz

<div>We are seeking an experienced Azure Data Engineer (5+ years) with strong expertise in data warehousing on lakehouse architecture, data engineering, data quality, and governance. The ideal candidate will design and build scalable data pipelines on Microsoft Fabric, implement data quality frameworks, and operationalize governance processes using Microsoft Purview. This role combines technical delivery with data compliance, ensuring trusted and well-governed data across the organization.
Key Responsibilities
<ul><li>Design and develop batch data pipelines using Fabric Pipelines and PySpark.</li>
<li>Implement data quality rules, validation checks, and monitoring dashboards.</li>
<li>Develop data catalog, lineage, classification, and business glossary in Microsoft Purview.</li>
<li>Enforce data governance policies, standards, and best practices across Microsoft Fabric</li>
<li>Collaborate with DevOps to automate deployments using Azure DevOps.</li>
<li>Integrate data quality in CI/CD pipelines through Azure DevOps.</li>
<li>Ensure compliance with data privacy regulations (e.g., PDPL).</li>
<li>Partner with business and data stewards to improve overall data integrity and usability.</li>
</ul>
Required Skills &amp; Experience
<ul><li>5+ years of experience in data engineering, quality, and governance roles.</li>
<li>Strong hands-on experience with Azure Data Factory, Apache Spark (PySpark), and Azure Synapse/Fabric.</li>
<li>Proven expertise in Microsoft Purview for governance and catalog management.</li>
<li>Proficient in Python and SQL for data processing and validation.</li>
<li>Understanding of data quality dimensions, profiling, and cleansing techniques.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Experience with Great Expectations or similar data validation tools is a plus.</li>
</ul>
Preferred Qualifications
<ul><li>Microsoft Certified: Fabric Data Engineer Associate or equivalent certification.</li>
<li>Experience with Microsoft Fabric and AI-driven metadata or quality tools.</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), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) 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>

Principal Data Engineer – Data Quality & Governance

10Pearls

<div>Company Overview:
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cyber security, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs and high growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity and successful delivery and execution.
Requirements:
We are looking for a &ldquo;Staff /Senior Data Engineer&rdquo;. Ideal candidate should have a Bachelor&rsquo;s degree in Computer Science with 5 &ndash; 8 years of programming AWS Glue, ETL pipeline Athena, Apache Spark, Apache Hudi (Apache Iceberg and DeltaLake are similar tech), and Pythonmust.
Responsibilities<ul><li>
Develop, construct, test and maintain optimal data pipeline architecture</li><li>
Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>
Identify ways to improve data reliability, efficiency and quality</li><li>
Prepare data for predictive and prescriptive modeling</li><li>
Use data to discover tasks that can be automated</li><li>
ETL pipeline build, deployment and operations, data quality, monitoring and alerting, CI/CD, governance, access control, etc</li><li>
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li><li>
Monitoring processes performance and advising any necessary changes</li><li>
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.</li><li>
Create data tools for analytics that assist in building and optimizing the product into an innovative industry leader</li><li>
Work with data and analytics experts to strive for greater functionality in our data systems.</li><li>
Demonstrate proficiency in data management and automation on Spark, Hadoop, and HDFS environments</li><li>
Knowledge in DS/ML, analytics, or data warehousing</li></ul>
Required Skills<ul><li>
Good communication skills</li><li>
Experience with Apache Hadoop, Hive, Spark, Airflow, Apache Livy, Scala, Java</li><li>
Experience in AWS EMR (HDFS, S3, Hbase), AWS Athena, PySpark or related technologies</li><li>
Experience with streaming technologies such as kafka</li><li>
Experience of working with programming languages like Scala, Java, SQL, Python, R etc.</li><li>
Experience in managing data in relational databases and developing ETL pipelines</li><li>
Exposure to enterprise level service such as Cloudera, Databricks, AWS, etc</li><li>
Exposure to AWS data services and technologies such as EC2, EMR, Kinesis, Lambda, DynamoDB are nice to have</li></ul>
omRJBsWMnE</div>

Staff/Senior Data Engineer - ETL/AWS/Python/Apache

MiHCM

Job Title: Database EngineerLocation: Karachi OfficeJob Type: Full-timeExperience: 0&ndash;1 yearJob Summary:We are looking for a passionate and detail-oriented Database Engineer to join our team. This is a great opportunity for fresh graduates or junior professionals to gain hands-on experience in database development, stored procedures, function optimization, API integrations, and reporting. You will work closely with senior engineers and cross-functional teams to build, manage, and optimize our data systems.Job Description- Design, develop, and optimize stored procedures and SQL scripts- Modify and maintain scalar functions to ensure performance and reliability- Integrate database systems with Open API platforms and external services- Work with SSRS to create and manage .rdl reports as per business requirements- Write and test custom SQL queries for reporting and data manipulation- Support data cleaning, validation, and transformation tasks- Assist with database backups, restoration, and performance monitoring of Microsoft Azure.- Document database processes, procedures, and integration flows- Collaborate with different teams to provide data and reporting solutions- Participate in technical discussions, peer code reviews, and knowledge-sharing sessionsRequirements:- Bachelor&rsquo;s degree in computer science, Software Engineering, or a related field- 0&ndash;1 year of experience in database development (fresh graduates encouraged to apply)- Solid understanding of SQL, stored procedures, and functions- Basic knowledge of integrating databases with APIs- Experience or familiarity with SSRS and creating/modifying .rdl reports- Willingness to learn cloud platforms (especially Microsoft Azure)- Strong analytical thinking and attention to detail- Good communication and teamwork skills- Knowledge of Power BI or similar tools is a plusSalary: 55k to 60kJob Type: Full-timeWork Location: In person

Executive- Data Base 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

We are looking for a motivated Snowflake Developer with 1&ndash;3 years of experience in data engineering and cloud-based data warehousing. The ideal candidate should have strong SQL skills, hands-on experience with Snowflake features, and a solid understanding of modern ETL/ELT processes.You will be responsible for building and optimizing scalable data pipelines, ensuring high data quality, and supporting analytics and reporting requirements across teams.Key Responsibilities:<ul><li>Develop, implement, and maintain data warehouse solutions using the Snowflake Cloud Data Platform.</li><li>Build and optimize ETL/ELT pipelines using tools such as dbt, Airflow, or Azure Data Factory.</li><li>Design and maintain data models, schemas, and transformations for analytics and reporting.</li><li>Implement data performance optimization, partitioning, and clustering strategies in Snowflake.</li><li>Manage data access, roles, and security policies.</li><li>Integrate Snowflake with cloud storage and BI tools like Power BI, Tableau, or Looker.</li><li>Troubleshoot and resolve issues in data ingestion, transformation, and performance.</li></ul>Required Skills &amp; Experience:<ul><li>1&ndash;3 years of experience as a Snowflake Developer or Data Engineer.</li><li>Strong command over SQL and data modeling concepts (star/snowflake schema).</li><li>Practical experience with Snowflake architecture (warehouses, Snowpipes, Streams, Tasks, etc.).</li><li>Familiarity with cloud environments (AWS, Azure, or GCP).</li><li>Experience working with structured and semi-structured data (JSON, Parquet, etc.).</li><li>Basic knowledge of Python for scripting and data manipulation.</li><li>Good understanding of ETL/ELT workflows and best practices.</li></ul>Preferred Qualifications:<ul><li>SnowPro Core Certification (a plus).</li><li>Experience in CI/CD pipelines and version control (Git, Jenkins).</li><li>Exposure to data governance and security compliance processes.</li></ul>Benefits:<ul><li>Market-competitive salary</li><li>Opportunity for international travel</li><li>Medical coverage</li><li>Annual performance-based bonus</li><li>Collaborative and innovative work environment</li></ul>Job Type: Full-timeWork Location: In person

Snowflake Developer

Explore 652+ Data engineer in Karachi this January. Find roles across top companies and apply now to boost your career.