web developer

business developer

data engineer

.net developer

senior data engineer

data developer

Gigalabs (Pvt) Ltd.

<div>
 
 Job Brief:
 
 
 
 Employment Type: Contract Based (Remote)
 
 
 Time Zone: EST (04 Hours Overlap within time zone)
 
 
 Experience: 5+ Years
 
 
 
 Responsibilities:
 
 
 
 
 Data Engineering and Integration
 
 
 
 Design, develop, and maintain data pipelines in Microsoft Fabric Ingest, transform, and model data from multiple sources into the data lakehouse/warehouse
 
 
 Ensure data integrity, scalability, and performance optimization.
 
 
 
 Analytics &amp; Reporting
 
 
 
 Develop and optimize complex SQL queries to support analytics and reporting. Build and maintain datasets and semantic models for Power BI.
 
 
 Design, implement, and modify advanced Power BI visualizations and dashboards Partner with stakeholders to deliver accurate and actionable insights.
 
 
 
 AI &amp; LLM Development
 
 
 
 Develop, fine-tune, and maintain large language models for enterprise use cases. Integrate LLM solutions with data assets in Microsoft Fabric and reporting environments.
 
 
 Monitor and retrain models as required to maintain performance.
 
 
 
 Requirements:
 
 
 
 BA or MS in Statistics, Mathematics, Computer Science, or other quantitative field.
 
 
 5+ years of industry experience delivering and scaling machine learning products both in scope and on time.
 
 
 Strong skills in Python and querying languages (e.g. SQL).Experience in production-level coding with broad knowledge of healthy code practices.
 
 
 Tech Stack:, Microsoft Fabric, Power BI, Dax, Python, MS SQL Server
 
 
 Excellent business acumen, with proven ability to understand, analyze and problem solve business goals in detail, developing effective solutions with clients.
 
 
 Critical thinker and good communicator Fluent English (both written and spoken) is required.
</div>

Data Scientist / Developer

<div>Job Brief: 
Employment Type: Contract Based (Remote) 
Time Zone: EST (04 Hours Overlap within time zone) 
Experience: 5+ Years 
 
Responsibilities:
Data Engineering and Integration 
Design, develop, and maintain data pipelines in Microsoft Fabric Ingest, transform, and model data from multiple sources into the data lakehouse/warehouse 
Ensure data integrity, scalability, and performance optimization.
Analytics &amp; Reporting 
Develop and optimize complex SQL queries to support analytics and reporting.Build and maintain datasets and semantic models for Power BI. 
Design, implement, and modify advanced Power BI visualizations and dashboardsPartner with stakeholders to deliver accurate and actionable insights.
AI &amp; LLM Development 
Develop, fine-tune, and maintain large language models for enterprise use cases.Integrate LLM solutions with data assets in Microsoft Fabric and reporting environments. 
Monitor and retrain models as required to maintain performance.
Requirements:
BA or MS in Statistics, Mathematics, Computer Science, or other quantitative field. 
5+ years of industry experience delivering and scaling machine learning products both in scope and on time. 
Strong skills in Python and querying languages (e.g. SQL).Experience in production-level coding with broad knowledge of healthy code practices. 
Tech Stack:, Microsoft Fabric, Power BI, Dax, Python, MS SQL Server 
Excellent business acumen, with proven ability to understand, analyze and problem solve business goals in detail, developing effective solutions with clients. 
Critical thinker and good communicator Fluent English (both written and spoken) is required.</div>

Core Edge Solutions

Database Engineer (PostgreSQL / SQL Developer) &ndash; Night Shift | On-site LahoreCompany: Core Edge Solutions Location: Gulberg 3, Lahore, Pakistan Job Type: Full-time | On-site | Night Shift Schedule: Monday to Friday, 7:00 PM &ndash; 4:00 AM Days Off: Saturday &amp; SundayAbout Core Edge SolutionsCore Edge Solutions is a fast-growing technology and data services company providing data management, analytics, and software solutions to international clients.We&rsquo;re hiring a Database Engineer skilled in PostgreSQL and SQL optimization to manage large-scale data systems and ensure top performance. This position is ideal for professionals who enjoy problem-solving, data engineering, and working on challenging international projects.Key Responsibilities<ul><li>Design, develop, and maintain PostgreSQL databases and data models</li><li>Write, optimize, and debug complex SQL queries, functions, and stored procedures</li><li>Manage database performance, indexing, and query optimization</li><li>Monitor, back up, and restore databases to ensure data integrity and reliability</li><li>Work with developers and analysts to enhance data workflows and app performance</li><li>Implement ETL processes, data pipelines, and migration solutions</li><li>Identify and resolve performance bottlenecks in large datasets</li><li>Maintain technical documentation and apply database best practices</li></ul>Requirements<ul><li>1+ years of experience as a Database Engineer, SQL Developer, or related role</li><li>Strong hands-on experience with PostgreSQL (schema design, indexing, optimization, partitioning)</li><li>Proficiency in SQL, query tuning, and database debugging</li><li>Good understanding of data modeling, normalization, and relational database design</li><li>Experience with ETL and data integration workflows</li><li>Familiarity with Linux-based systems and command-line tools</li><li>Knowledge of backup strategies, replication, and database security</li><li>Excellent analytical and problem-solving abilities</li><li>Strong English communication skills (spoken &amp; written)</li><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field</li></ul>What We Offer<ul><li>Market-competitive salary based on skills and experience</li><li>Performance-based bonuses and growth opportunities</li><li>Work on international data projects and enterprise-scale systems</li><li>Continuous learning and professional development support</li><li>Supportive and collaborative work environment</li></ul>Job Details<ul><li>Shift: Night (7:00 PM &ndash; 4:00 AM, Monday to Friday)</li><li>Days Off: Saturday &amp; Sunday</li><li>Location: On-site &ndash; Gulberg 3, Lahore</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs80,000.00 per monthWork Location: In person

Database Engineer (PostgreSQL / SQL Developer) – Night Shift | On-site Lahore

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

Game District

We&rsquo;re seeking a Data Engineer to help build scalable data pipelines and models that power marketing, user acquisition, and monetization analytics. You&rsquo;ll work with data from Adjust, ad networks, and in-game sources, transforming it within our data stack to support analysts and data scientists across the company.Key Responsibilities<ul><li>Develop and maintain reliable ETL/ELT pipelines for MMPs, ad networks, and</li><li>monetization data.</li><li>Support data ingestion, transformation, and quality processes in AWS S3 and Iceberg.</li><li>Design and optimize data models for analytics and reporting in StarRocks.</li><li>Collaborate with data analysts and marketing teams to meet data needs.</li><li>Monitor and troubleshoot pipelines to ensure data accuracy and freshness.</li><li>Contribute to documentation, testing, and CI/CD for data workflows.</li></ul>Requirements<ul><li>3+ years of professional experience in data engineering.</li><li>Bachelor&rsquo;s degree in a STEM field (Computer Science, Engineering, Mathematics, or</li><li>related).</li><li>Strong experience with AWS (S3, Glue, Lambda, Athena).</li><li>Working knowledge of Iceberg or other modern data lakehouse frameworks.</li><li>Proficiency in SQL and Python (pandas, PySpark, or similar).</li><li>Experience integrating marketing and ad network APIs.</li><li>Familiarity with data orchestration tools (Airflow, dbt, etc.).</li><li>Understanding of data modeling and ETL best practices.</li></ul>Nice to Have<ul><li>Experience with CelerData StarRocks, ClickHouse, or similar analytical databases.</li><li>Background in the gaming industry or mobile app analytics.</li><li>Knowledge of MMPs like Adjust, Appsflyer, or Singular.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary? </li><li>What is your expected salary? </li><li>Please mention your total relevant experience. </li></ul>Work Location: In person

Data Engineer

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>

CHROMEIS

<div><h4 class="jobSectionHeader">Overview:</h4>

We are seeking a detail-oriented Data Engineer responsible for designing, developing, and maintaining scalable data systems. The ideal candidate will build robust data pipelines, ensure data quality, and collaborate across teams to support analytics and reporting. This role requires a strong understanding of data modeling, data warehousing, integration techniques, and the ability to translate business needs into technical solutions.
<h4 class="jobSectionHeader">
Responsibilities:</h4>
<ul><li>Design and implement scalable data pipelines for ingesting, processing, and storing data from diverse sources, ensuring optimal performance and reliability.</li>
<li>Develop and maintain data models that support analytical and operational needs, using techniques that balance normalization and denormalization.</li>
<li>Build and optimize data warehousing solutions, incorporating strategies for partitioning, indexing, and backup to enhance query performance.</li>
<li>Integrate data from various sources through effective ETL processes, resolving format and structure differences to ensure consistency and integrity.</li>
<li>Create clear and actionable data visualizations to communicate data trends and insights to stakeholders.</li>
<li>Write and maintain clean, efficient code for data processing tasks and basic SQL queries, ensuring the solutions are scalable and maintainable.</li>
<li>Collaborate with cross-functional teams to translate business requirements into technical designs and document data architectures.</li>
<li>Employ logical reasoning and problem-solving skills to troubleshoot issues in data flows and optimize system performance.</li>
<li>Communicate effectively, both in writing and verbally, to document processes, share insights, and support decision-making.</li>
</ul><h4 class="jobSectionHeader">Qualifications:</h4>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field, or equivalent experience.</li>
<li>Proven experience in building data pipelines, data warehousing, and data integration projects.</li>
<li>Proficiency in SQL and familiarity with at least one programming language (e.g., Python, Java, or similar) used in data processing.</li>
<li>Solid understanding of data modeling techniques, including strategies for handling OLAP systems and large datasets.</li>
<li>Experience with data visualization tools and practices.</li>
<li>Strong analytical and logical reasoning skills, combined with excellent English writing and communication abilities.</li>
<li>Ability to work independently and collaboratively in a dynamic, fast-paced environment.</li>
<li>This position offers an exciting opportunity for a motivated Data Engineer to contribute to the overall data strategy, ensuring efficient data capture, storage, and analysis that drives informed decision-making.</li>
</ul><h4 class="jobSectionHeader">Application Process:</h4>
<div><ul><li>Please send your resume to [careers@chromeis.com] with a relevant subject line.</li></ul>
<ul><li>If your resume is shortlisted, you will be invited to take an online AI-based assessment.</li></ul>
<ul><li>Candidates who pass this test will move on to the next stage: an on-call interview with the end client.</li></ul>
<ul><li>Successful candidates from all rounds will receive an offer based on the initial discussion during the first call.</li></ul></div></div>

Explore 1063+ Data developer in Lahore this October. Find roles across top companies and apply now to boost your career.

1063 data developer jobs IN Lahore

Data Scientist / Developer

Data Scientist / Developer

Database Engineer (PostgreSQL / SQL Developer) – Night Shift | On-site Lahore

Data Engineer, Tech

Data Engineer

Data Engineer

Data Engineer