data engineer

senior data engineer

data analyst

data scientist

data transformation specialist Jobs in Lahore

data transformation specialist

data pipeline engineer

Datamatics Technologies

<div>
 
 Job Title: Data Engineer
 
 
 
 Experience:
 
 3&ndash;5 Years
 
 
 Location:
 
 Remote
 
 
 
 
 Only CV matching with JD will be Shortlisted
 
 
 
 
 Role Purpose
 
 
 We are looking for a skilled
 
 Data Engineer
 
 to design, build, and maintain scalable data pipelines within the Azure ecosystem. You will play a key role in enabling data-driven insights by developing reliable data solutions that support analytics, reporting, and business intelligence initiatives.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Develop and maintain
 
 ETL/ELT pipelines
 
 using
 
 Azure Data Factory (ADF)
 
 </li>
 <li>
 Work with
 
 Azure Data Lake Storage (ADLS)
 
 for data ingestion, storage, and processing
 </li>
 <li>
 Build and optimize data transformations using
 
 PySpark
 
 and
 
 SQL
 
 </li>
 <li>
 Integrate data from multiple structured and unstructured sources
 </li>
 <li>
 Ensure
 
 data quality, integrity, and consistency
 
 across pipelines
 </li>
 <li>
 Support implementation of
 
 Lakehouse architecture
 
 and
 
 Medallion (Bronze, Silver, Gold) layers
 
 </li>
 <li>
 Collaborate with analysts and BI teams to enable reporting and data models
 </li>
 <li>
 Monitor, troubleshoot, and resolve data pipeline issues
 </li>
 <li>
 Document data processes, workflows, and pipeline logic
 </li>
 </ul>
 
 Required Skills &amp; Experience (3&ndash;5 Years)
 
 <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 and maintaining
 
 ETL pipelines
 
 </li>
 <li>
 Working knowledge of
 
 structured and unstructured data processing
 
 </li>
 <li>
 Basic understanding of
 
 Lakehouse architecture
 
 and
 
 Medallion framework
 
 </li>
 <li>
 Familiarity with
 
 Delta Lake concepts
 
 </li>
 <li>
 Strong
 
 problem-solving and debugging
 
 skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience with
 
 Azure Databricks
 
 </li>
 <li>
 Understanding of
 
 data modeling and data warehousing concepts
 
 </li>
 <li>
 Exposure to
 
 data governance and data quality frameworks
 
 </li>
 <li>
 Experience working in
 
 Agile/Scrum environments
 
 </li>
 </ul>
 
 Soft Skills
 
 <ul>
 <li>
 Strong communication and stakeholder collaboration skills
 </li>
 <li>
 Analytical mindset with attention to detail
 </li>
 <li>
 Ability to work independently in a
 
 remote setup
 
 </li>
 <li>
 Team player with a proactive approach to problem-solving
 </li>
 </ul>
 
 Career Progression Opportunity
 
 
 This role provides a pathway to grow into a
 
 Senior Data Engineer (5&ndash;10 Years)
 
 position, where responsibilities include:
 
 <ul>
 <li>
 Designing end-to-end data architectures
 </li>
 <li>
 Working extensively with
 
 Microsoft Fabric
 
 and advanced Azure services
 </li>
 <li>
 Leading data engineering initiatives and mentoring team members
 </li>
 <li>
 Optimizing large-scale distributed data systems
 </li>
 </ul>
</div>

Data Engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Data Engineer</h2>
Experience: 3&ndash;5 Years 
Location: Remote 
 
Only CV matching with JD will be Shortlisted<h3 class="jobSectionHeader">
Role Purpose</h3>
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines within the Azure ecosystem. You will play a key role in enabling data-driven insights by developing reliable data solutions that support analytics, reporting, and business intelligence initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF)</li><li>
Work with Azure Data Lake Storage (ADLS) for data ingestion, storage, and processing</li><li>
Build and optimize data transformations using PySpark and SQL</li><li>
Integrate data from multiple structured and unstructured sources</li><li>
Ensure data quality, integrity, and consistency across pipelines</li><li>
Support implementation of Lakehouse architecture and Medallion (Bronze, Silver, Gold) layers</li><li>
Collaborate with analysts and BI teams to enable reporting and data models</li><li>
Monitor, troubleshoot, and resolve data pipeline issues</li><li>
Document data processes, workflows, and pipeline logic</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience (3&ndash;5 Years)</h3><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 and maintaining ETL pipelines</li><li>
Working knowledge of structured and unstructured data processing</li><li>
Basic understanding of Lakehouse architecture and Medallion framework</li><li>
Familiarity with Delta Lake concepts</li><li>
Strong problem-solving and debugging skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with Azure Databricks</li><li>
Understanding of data modeling and data warehousing concepts</li><li>
Exposure to data governance and data quality frameworks</li><li>
Experience working in Agile/Scrum environments</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong communication and stakeholder collaboration skills</li><li>
Analytical mindset with attention to detail</li><li>
Ability to work independently in a remote setup</li><li>
Team player with a proactive approach to problem-solving</li></ul><h3 class="jobSectionHeader">
Career Progression Opportunity</h3>
This role provides a pathway to grow into a Senior Data Engineer (5&ndash;10 Years) position, where responsibilities include:<ul><li>
Designing end-to-end data architectures</li><li>
Working extensively with Microsoft Fabric and advanced Azure services</li><li>
Leading data engineering initiatives and mentoring team members</li><li>
Optimizing large-scale distributed data systems</li></ul>
1pqIzCDWsE</div>

AlphaBOLD

<div><h2 class="jobSectionHeader">JOB SUMMARY</h2>

Alphabold is looking for a skilled Data Engineer with 3&ndash;5 years of experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in data processing, database systems, and cloud platforms, enabling efficient data flow and analytics across the organization.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines</li>
<li>Build and optimize data architectures, data lakes, and data warehouses</li>
<li>Ensure data quality, integrity, and reliability across systems</li>
<li>Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions</li>
<li>Develop and manage batch and real-time data processing systems</li>
<li>Monitor and troubleshoot data pipeline performance and failures</li>
<li>Implement data governance, security, and compliance best practices</li>
<li>Automate workflows and improve data engineering processes</li>
</ul><h3 class="jobSectionHeader">Required Skills &amp; Qualifications</h3>
<ul><li>3&ndash;5 years of experience in data engineering or related roles</li>
<li>Strong proficiency in SQL and Python (or Scala/Java)</li>
<li>Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)</li>
<li>Experience with big data technologies such as Apache Spark, Hadoop, or Kafka</li>
<li>Solid understanding of data warehousing concepts and modeling (Star/Snowflake schema)</li>
<li>Experience with cloud platforms like AWS, Azure, or Google Cloud</li>
<li>Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)</li>
<li>Experience with version control systems (e.g., Git)</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience with containerization tools like Docker and orchestration tools like Kubernetes</li>
<li>Knowledge of CI/CD pipelines and DevOps practices</li>
<li>Familiarity with data visualization tools (e.g., Power BI, Tableau)</li>
<li>Understanding of streaming data systems and real-time analytics</li>
</ul><h3 class="jobSectionHeader">Soft Skills</h3>
<ul><li>Strong problem-solving and analytical skills</li>
<li>Good communication and collaboration abilities</li>
<li>Ability to work in a fast-paced, agile environment</li>
<li>Attention to detail and commitment to data accuracy</li>
</ul><h3 class="jobSectionHeader">Education</h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

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

World Business Lenders, LLC

<div>
 
 About World Business Lenders (www.wbl.com)
 
 
 
 World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.
 
 
 Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.
 
 
 
 We're looking for someone with strong communication skills in both English, both spoken and written.
 
 
 
 <ul>
 <li>
 Please note that all resumes should be submitted in English.
 
 
 </li>
 </ul>
 
 We are seeking two Data Analysts, one specializing in data engineering &amp; migration, and another focused on data pipeline &amp; automation. Candidates with strengths in either area are encouraged to apply.
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors
 </li>
 <li>
 Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Education:
 
 
 
 <ul>
 <li>
 A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is preferred &mdash; but we also highly value equivalent hands-on experience!
 
 
 </li>
 </ul>
 
 Required Experience:
 
 
 
 <ul>
 <li>
 4 to 7 years of experience as a Data Engineer
 </li>
 <li>
 We value practical, hands-on expertise that goes beyond just theoretical knowledge
 
 
 </li>
 </ul>
 
 Required Background / Industry Experience:
 
 
 
 
 Required for both roles:
 
 
 
 <ul>
 <li>
 Experience working with cloud-based data platforms and environments
 </li>
 <li>
 Strong SQL skills with data modeling experience for data warehouses
 </li>
 <li>
 Strong Python skills (especially notebooks) for building and maintaining data workflows
 </li>
 <li>
 Experience developing and maintaining ETL/ELT processes
 </li>
 <li>
 Experience working with data warehouses used by reporting/business teams
 </li>
 <li>
 Experience using Git/GitHub for version control in collaborative environments
 </li>
 <li>
 Understanding of data engineering best practices:
 </li>
 <li>
 Pipeline orchestration and dependency management
 </li>
 <li>
 Data quality, validation, and monitoring fundamentals
 
 
 </li>
 </ul>
 
 Required for migration-focused role:
 
 
 
 <ul>
 <li>
 Hands-on data migration experience:
 </li>
 <li>
 Schema mapping and transformation
 </li>
 <li>
 Data reconciliation and validation (must be strong here)
 </li>
 <li>
 Data quality checks, integrity validation, and issue resolution
 </li>
 <li>
 Backfills and historical data handling
 </li>
 <li>
 Cutover planning and execution
 
 
 </li>
 </ul>
 
 Required for automation-focused role:
 
 
 
 <ul>
 <li>
 Experience building and maintaining automated data pipelines:
 </li>
 <li>
 Scheduling, orchestration, and failure handling
 </li>
 <li>
 Workflow reliability, monitoring, and repeatability
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem
 </li>
 <li>
 Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines
 </li>
 <li>
 Experience with data quality and observability practices:
 </li>
 <li>
 Validation frameworks, alerting, SLAs, monitoring
 </li>
 <li>
 Experience optimizing performance in data environments:
 </li>
 <li>
 Query tuning, partitioning, indexing, cost optimization
 </li>
 <li>
 Familiarity with modern data formats and large-scale processing:
 </li>
 <li>
 Parquet, Delta, incremental processing patterns
 </li>
 <li>
 Experience integrating with external systems:
 </li>
 <li>
 REST APIs, authentication, retries, error handling
 </li>
 <li>
 Exposure to CI/CD practices for data workflows:
 </li>
 <li>
 Git-based deployments, PR workflows, environment promotion
 
 
 </li>
 </ul>
 
 Key Soft Skills:
 
 
 
 <ul>
 <li>
 Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders
 </li>
 <li>
 Ownership &amp; accountability: takes end-to-end responsibility for pipelines, data quality, and outcomes
 </li>
 <li>
 Problem-solving mindset: able to debug complex data issues and work through ambiguity independently.
 </li>
 <li>
 Collaboration: works effectively across engineering, analytics, and business teams
 </li>
 <li>
 Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools)
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Proficiency in SQL, Python, cloud technologies, and data competency
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 USD Base Salary
 </li>
 <li>
 Enjoy Paid Time Off (PTO) after just 6 months of service
 </li>
 <li>
 Full-time opportunity
 </li>
 <li>
 Enjoy the freedom of a completely remote work environment!
 </li>
 </ul>
</div>

Remote - Data Engineering Analyst

<div>About World Business Lenders (www.wbl.com) 
 
World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.
Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.
We&rsquo;re looking for someone with strong communication skills in both English, both spoken and written.<ul><li>
Please note that all resumes should be submitted in English.</li></ul> 
We are seeking two Data Analysts, one specializing in data engineering &amp; migration, and another focused on data pipeline &amp; automation. Candidates with strengths in either area are encouraged to apply.
Key Responsibilities:<ul><li>
Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors.</li><li>
Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations.</li></ul> 

Requirements 
Required Education:
<ul><li>A Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field is preferred &mdash; but we also highly value equivalent hands-on experience!</li></ul> 
Required Experience:<ul><li>
4 to 7 years of experience as a Data Engineer.</li><li>
We value practical, hands-on expertise that goes beyond just theoretical knowledge.</li></ul>
Required Background / Industry Experience:
Required for both roles:<ul><li>
Experience working with cloud-based data platforms and environments</li><li>
Strong SQL skills with data modeling experience for data warehouses</li><li>
Strong Python skills (especially notebooks) for building and maintaining data workflows</li><li>
Experience developing and maintaining ETL/ELT processes</li><li>
Experience working with data warehouses used by reporting/business teams</li><li>
Experience using Git/GitHub for version control in collaborative environments</li><li>
Understanding of data engineering best practices:</li><li>
Pipeline orchestration and dependency management</li><li>
Data quality, validation, and monitoring fundamentals</li></ul>
Required for migration-focused role:<ul><li>
Hands-on data migration experience:</li><li>
Schema mapping and transformation</li><li>
Data reconciliation and validation (must be strong here)</li><li>
Data quality checks, integrity validation, and issue resolution</li><li>
Backfills and historical data handling</li><li>
Cutover planning and execution</li></ul>
Required for automation-focused role:<ul><li>
Experience building and maintaining automated data pipelines:</li><li>
Scheduling, orchestration, and failure handling</li><li>
Workflow reliability, monitoring, and repeatability</li></ul>
Preferred:<ul><li>
Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem</li><li>
Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines</li><li>
Experience with data quality and observability practices:</li><li>
Validation frameworks, alerting, SLAs, monitoring</li><li>
Experience optimizing performance in data environments:</li><li>
Query tuning, partitioning, indexing, cost optimization</li><li>
Familiarity with modern data formats and large-scale processing:</li><li>
Parquet, Delta, incremental processing patterns</li><li>
Experience integrating with external systems:</li><li>
REST APIs, authentication, retries, error handling</li><li>
Exposure to CI/CD practices for data workflows:</li><li>
Git-based deployments, PR workflows, environment promotion</li></ul> 
Key Soft Skills:<ul><li>
Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders.</li><li>
Ownership &amp; accountability: takes end-to-end responsibility for pipelines, data quality, and outcomes.</li><li>
Problem-solving mindset: able to debug complex data issues and work through ambiguity independently.
</li><li>Collaboration: works effectively across engineering, analytics, and business teams.</li><li>
Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools).</li></ul> 
Technical Skills:<ul><li>
Proficiency in SQL, Python, cloud technologies, and data competency.</li></ul> 

Benefits 
<ul><li>
USD Base Salary.</li><li>
Enjoy Paid Time Off (PTO) after just 6 months of service.</li><li>
Full-time opportunity.</li><li>
Enjoy the freedom of a completely remote work environment!</li></ul></div>

H2o Labs

Location: Onsite Shift: Night Shift Job Type: Full-TimeJob Overview:We are looking for a skilled and detail-oriented Data Engineer with 2&ndash;4 years of hands-on experience to join our growing team. The ideal candidate will be responsible for building, optimizing, and maintaining scalable data pipelines and architectures to support data-driven decision-making across the organization.Key Responsibilities:<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines</li><li>Build and manage data warehouses and data lakes</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize and automate data workflows for performance and scalability</li><li>Collaborate with data analysts, scientists, and business stakeholders</li><li>Work with large datasets and ensure efficient data processing</li><li>Monitor and troubleshoot data-related issues</li><li>Implement data security and governance best practices</li><li>Communicate effectively with cross-functional teams and stakeholders</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li>2&ndash;4 years of experience as a Data Engineer or similar role</li><li>Strong proficiency in SQL and database design</li><li>Hands-on experience with Python (or similar programming language)</li><li>Experience with ETL tools (e.g., Airflow, Talend, Informatica)</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure)</li><li>Experience with big data tools (e.g., Hadoop, Spark)</li><li>Understanding of data warehousing concepts</li><li>Excellent communication and interpersonal skills</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Qualifications:<ul><li>Experience with real-time data processing</li><li>Knowledge of Docker/Kubernetes</li><li>Familiarity with CI/CD pipelines</li><li>Experience working in agile environments</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs220,000.00 per monthWork Location: In person

Explore 934+ Data pipeline engineer in Lahore this May. Find roles across top companies and apply now to boost your career.

934 data pipeline engineer jobs In Lahore

Data Engineer

Data Engineer

Data Engineer

Data Engineer, Tech

Remote - Data Engineering Analyst

Remote - Data Engineering Analyst

Data Engineer