senior data engineer

business analyst

business developer

data engineer

it support engineer

etl developer

ACME ONE

<p><b>About the Role</b></p><p>We're looking for a motivated Data Engineer with hands-on experience in SQL Server, SSIS, Azure cloud data tools, and Power BI. You'll help build and maintain data pipelines, support cloud-based integrations, and contribute to BI solutions that actually matter.</p><p><b>Key Responsibilities</b></p><ul><li>Develop, optimize, and maintain ETL/ELT pipelines across on-premises and Azure environments</li><li>Design and manage SQL Server objects &mdash; tables, views, stored procedures, and functions</li><li>Build data ingestion and transformation solutions using SSIS, ADF, ADLS, Azure Synapse, and Databricks (basic exposure is a plus)</li><li>Create and manage Power BI datasets, dataflows, DAX measures, and interactive dashboards</li><li>Ensure data quality, reliability, and timely availability across systems</li><li>Troubleshoot pipeline failures, performance issues, and data inconsistencies</li><li>Collaborate with analysts and business users on reporting requirements</li><li>Document workflows, data models, and SOPs</li></ul><p><b>Requirements</b></p><ul><li>2-3 years of experience as a Data Engineer, BI Developer, or similar</li><li>Strong MS SQL Server &amp; T-SQL skills</li><li>Hands-on with Azure tools &mdash; ADF, ADLS, Synapse</li><li>Power BI proficiency &mdash; reports, dashboards, DAX, data modeling</li><li>Solid understanding of ETL/ELT and star/snowflake data modeling</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>We are located near UCP, are you comfortable with the location?</li></ul><p>Work Location: In person</p>

Data Engineer - Analytics

NextOvation

<div>
 Position Overview
 <br/>
 <br/>
 We are seeking an experienced Oracle Data Integrator (ODI) Developer with deep expertise in ODI Studio and hands-on experience with Oracle BI Applications (BI Apps) 10.3 development and customization. The ideal candidate will bring strong data warehousing fundamentals and the ability to design, build, and maintain complex ETL solutions.
 <br/>
 <br/>
 Work Hours Requirement
 <br/>
 <br/>
 Resources must be available to work
 <strong>
  at least some hours overlapping with the US Eastern Time Zone (ET)
 </strong>
 to support collaboration with the onshore team and stakeholders.
 <br/>
 <br/>
 Start Date and Expected Duration
 <br/>
 <br/>
 This project will begin immediately and is expected to last 6 to 8 months with the possibility for an extension.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and support ETL solutions using Oracle Data Integrator (ODI)
  </li>
  <li>
   Perform BI Apps 10.3 development and customization work, with ODI as the primary integration layer
  </li>
  <li>
   Build and maintain dimensional data models, including star and snowflake schemas, fact and dimension tables
  </li>
  <li>
   Develop and manage ODI interfaces, mappings, packages, procedures, scenarios, filters, variables, and user-defined functions
  </li>
  <li>
   Configure and administer ODI Master and Work repositories
  </li>
  <li>
   Work across all ODI graphic tools &mdash; Topology, Security Manager, Designer, and Operator
  </li>
  <li>
   Define and organize ODI Models, Projects, and Metadata
  </li>
  <li>
   Customize and apply ODI Knowledge Modules to meet specific load and transformation requirements
  </li>
  <li>
   Troubleshoot, tune, and optimize ETL processes for performance and reliability
  </li>
  <li>
   Document technical designs, mappings, and operational procedures
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   Hands-on development experience with ODI version 12.2.1.4
  </li>
  <li>
   Expert-level knowledge of ODI Studio and all its components &mdash; Mappings, Knowledge Modules, Variables, and Components
  </li>
  <li>
   Demonstrated experience with Oracle BI Applications (BI Apps) 10.3 development and customization, specifically as it relates to ODI
  </li>
  <li>
   Expertise in data warehousing concepts, including:
  </li>
  <ul>
   <li>
    Dimensional modeling
   </li>
   <li>
    Star and snowflake schema design
   </li>
   <li>
    Fact and dimension table identification
   </li>
   <li>
    ETL process design and source-to-target mapping
   </li>
  </ul>
  <li>
   Proven experience configuring and working with:
  </li>
  <ul>
   <li>
    ODI Master Repository and Work Repository
   </li>
   <li>
    ODI Projects, Models, Packages, Interfaces, Scenarios, Filters, and Metadata
   </li>
   <li>
    ODI Knowledge Modules (extensive hands-on use and customization)
   </li>
  </ul>
  <li>
   Strong SQL skills and experience working with Oracle databases
  </li>
  <li>
   Ability to work independently in a consulting environment and collaborate effectively with onshore stakeholders during Eastern Time business hours
   <br/>
  </li>
 </ul>
 Depending on experience
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Oracle Data Integrator (ODI) Developer (Remote from Non-India Locations)

<div><h3 class="jobSectionHeader"><b>Position Overview</b></h3>
<p>
We are seeking an experienced Oracle Data Integrator (ODI) Developer with deep expertise in ODI Studio and hands-on experience with Oracle BI Applications (BI Apps) 10.3 development and customization. The ideal candidate will bring strong data warehousing fundamentals and the ability to design, build, and maintain complex ETL solutions.</p>
<h3 class="jobSectionHeader"><b>
Work Hours Requirement</b></h3>
<p>
Resources must be available to work <b>at least some hours overlapping with the US Eastern Time Zone (ET)</b> to support collaboration with the onshore team and stakeholders.</p>
<h3 class="jobSectionHeader"><b>
Start Date and Expected Duration</b></h3>
<div>This project will begin immediately and is expected to last 6 to 8 months with the possibility for an extension.
</div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div>
<ul><li>Design, develop, and support ETL solutions using Oracle Data Integrator (ODI)</li>
<li>Perform BI Apps 10.3 development and customization work, with ODI as the primary integration layer</li>
<li>Build and maintain dimensional data models, including star and snowflake schemas, fact and dimension tables</li>
<li>Develop and manage ODI interfaces, mappings, packages, procedures, scenarios, filters, variables, and user-defined functions</li>
<li>Configure and administer ODI Master and Work repositories</li>
<li>Work across all ODI graphic tools &mdash; Topology, Security Manager, Designer, and Operator</li>
<li>Define and organize ODI Models, Projects, and Metadata</li>
<li>Customize and apply ODI Knowledge Modules to meet specific load and transformation requirements</li>
<li>Troubleshoot, tune, and optimize ETL processes for performance and reliability</li>
<li>Document technical designs, mappings, and operational procedures</li>
</ul></div><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3><div>
<ul><li>Hands-on development experience with <b>ODI version 12.2.1.4</b></li>
<li>Expert-level knowledge of ODI Studio and all its components &mdash; Mappings, Knowledge Modules, Variables, and Components</li>
<li>Demonstrated experience with <b>Oracle BI Applications (BI Apps) 10.3</b> development and customization, specifically as it relates to ODI</li>
<li>Expertise in data warehousing concepts, including:
<ul><li>Dimensional modeling</li>
<li>Star and snowflake schema design</li>
<li>Fact and dimension table identification</li>
<li>ETL process design and source-to-target mapping</li>
</ul></li><li>Proven experience configuring and working with:
<ul><li>ODI Master Repository and Work Repository</li>
<li>ODI Projects, Models, Packages, Interfaces, Scenarios, Filters, and Metadata</li>
<li>ODI Knowledge Modules (extensive hands-on use and customization)</li>
</ul></li><li>Strong SQL skills and experience working with Oracle databases</li>
<li>Ability to work independently in a consulting environment and collaborate effectively with onshore stakeholders during Eastern Time business hours</li>
</ul></div><div>Depending on experience</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

AlphaBOLD

<div><div>Lahore, Pakistan (On-site/Hybrid)
</div><div>Posted: April 14, 2026</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Summary</b></h2>
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></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"><b>Required Skills &amp; Qualifications</b></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"><b>Preferred Qualifications</b></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"><b>Soft Skills</b></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"><b>Education</b></h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Have</b></h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

Data Engineer

HR POD Careers

<div>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   3+ years of experience in Data Engineering or related roles.
  </li>
  <li>
   Strong expertise in SQL, query optimization, and database performance tuning.
  </li>
  <li>
   Proven experience in designing, building, and maintaining ETL/ELT pipelines.
  </li>
  <li>
   Hands-on experience with Databricks or similar large-scale data processing platforms.
  </li>
  <li>
   Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  </li>
  <li>
   Proficiency in Python for data processing, scripting, and automation.
  </li>
  <li>
   Familiarity with workflow orchestration tools such as Airflow or similar platforms.
  </li>
  <li>
   Strong understanding of data modeling, data warehousing, and scalable architecture design.
  </li>
  <li>
   Experience handling large datasets and distributed data systems.
  </li>
  <li>
   Excellent problem-solving, troubleshooting, and debugging skills.
  </li>
  <li>
   Experience with Spark, Kafka, or real-time data streaming technologies.
  </li>
  <li>
   Exposure to healthcare or SaaS-based datasets is a plus.
  </li>
  <li>
   Knowledge of data governance, metadata management, and data quality practices.
  </li>
  <li>
   Familiarity with DevOps practices, CI/CD pipelines, and infrastructure automation.
  </li>
  <li>
   Experience supporting and maintaining machine learning pipelines.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable ETL/ELT pipelines using internal systems, APIs, and external data sources.
  </li>
  <li>
   Build and optimize data architectures, warehouses, and storage solutions for scalability and performance.
  </li>
  <li>
   Clean, validate, and transform raw data to support analytics, reporting, and business intelligence needs.
  </li>
  <li>
   Write, optimize, and maintain complex SQL queries and data models.
  </li>
  <li>
   Monitor and manage data workflows to ensure performance, reliability, and scalability.
  </li>
  <li>
   Ensure data quality, integrity, consistency, and security across all systems and pipelines.
  </li>
  <li>
   Collaborate closely with analysts and stakeholders to support reporting and business intelligence requirements.
  </li>
  <li>
   Automate repetitive data processes and continuously improve workflow efficiency.
  </li>
  <li>
   Maintain clear documentation for data pipelines, datasets, schemas, and infrastructure.
  </li>
  <li>
   Continuously evaluate and enhance the company's data stack, architecture, and engineering best practices.
   <br/>
  </li>
 </ul>
</div>


Data Engineer (Onsite, Lahore, PKR Salary)

ByteCrew

<div>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 About the job Data Engineer
 <br/>
 <br/>
 We are seeking a Data Engineer to design, build, and operate data pipelines and warehouses powering
 <br/>
 <br/>
 enterprise analytics and reporting. The role covers ingestion, transformation, modelling, and operationalisation
 <br/>
 <br/>
 across cloud and on-prem data sources.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement batch + streaming data pipelines (ETL/ELT).
  </li>
  <li>
   Build and maintain dimensional/data-warehouse models (Star/Snowflake schema, slowly-changing
   <br/>
   <br/>
  </li>
 </ul>
 dimensions).
 <br/>
 <br/>
 <ul>
  <li>
   Develop in SQL, Python, and at least one orchestrator (Airflow, Azure Data Factory, AWS Glue).
  </li>
  <li>
   Operate data quality checks, lineage, and observability (Great Expectations, Monte Carlo, or similar).
  </li>
  <li>
   Optimise warehouse performance (Snowflake, Synapse, BigQuery, Redshift).
  </li>
  <li>
   Partner with BI/analytics teams on semantic models and self-service consumption.
  </li>
  <li>
   Document pipelines, schemas, and runbooks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in CS, Engineering, Statistics, or equivalent.
  </li>
  <li>
   4+ years building production data pipelines.
  </li>
  <li>
   Strong SQL (window functions, CTEs, query tuning) and Python.
  </li>
  <li>
   Hands-on with at least one major DW/Lakehouse: Snowflake, BigQuery, Synapse, Redshift, Databricks.
  </li>
  <li>
   Experience with at least one orchestrator: Airflow, ADF, Glue, dbt + scheduler.
  </li>
  <li>
   Familiarity with cloud object storage (S3, ADLS, GCS) and file formats (Parquet, ORC, Avro).
  </li>
  <li>
   Professional English &mdash; mandatory.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred / Nice To Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Working knowledge of Arabic is a plus.
  </li>
  <li>
   Streaming experience: Kafka, Kinesis, Event Hubs, Spark Structured Streaming.
  </li>
  <li>
   dbt Analytics Engineer or cloud data engineer certifications.
  </li>
  <li>
   Exposure to data governance/cataloguing (Purview, Unity Catalog, Collibra).
  </li>
 </ul>
</div>


Data Engineer
Lahore, Pakistan

ACE Money Transfer

<div><b>About Us:</b><br>
<br>
We are a dynamic and fast-growing financial technology group headquartered in Manchester, United Kingdom, with an established presence across the UK, Europe, Canada, Australia, Pakistan, and Bangladesh. Our group, encompassing ACE Money Transfer and ACE Union, operates across two regulated verticals: Electronic Money Services (EMI) and Cross-Border Remittances.<br>
Through our digital platforms, including mobile apps, web portals, and APIs, we deliver a comprehensive range of regulated financial services. These include digital payments, e-wallets, electronic money issuance, prepaid cards, mobile top-ups, bill payments, and international money transfers, designed to serve both individual and business customers in over 100 countries. By leveraging cutting-edge technologies such as AI for fraud detection, automation for seamless transactions, and partnerships with global leaders like Mastercard, we provide secure, user-friendly, and accessible financial solutions that adapt to the evolving needs of a global customer base.<br>
As we scale our EMI and remittance operations amid 2025's fintech landscape marked by real-time payments, embedded finance, blockchain integration, and sustainability initiatives, we are building a leadership team to drive innovation, regulatory compliance, and excellence across our dual-regulated ecosystem.<br>
<br>
<b>Job Overview:
</b><br>
<br>
This role is focused on designing and delivering scalable, secure, and high-performance data architectures to support the organization&rsquo;s expanding analytical and operational needs. The Senior Data Engineer will work closely with cross-functional teams to understand complex data requirements, define and implement robust data transformation rules, and lead the development and optimization of end-to-end data pipelines and data warehouse infrastructure.<br>
The ideal candidate will have hands-on experience in API based data integrations with third-party platforms, as well as a strong grasp of data governance principles. This includes implementing policies to ensure data quality, privacy, security, and compliance with regulatory standards. The role also involves optimizing workflows for cost efficiency and performance, while providing technical leadership to engineering and analytics teams in executing complex, data driven initiatives.<br>
<br>
<b>Key Responsibilities:</b><ul><li>
Architecting Scalable Data Systems: Designing robust data infrastructures capable of supporting increasing data volume and complexity.</li><li>
Design Data Pipelines: Develop efficient data ingestion pipelines and ETL processes capable of handling both structured and unstructured data effectively.</li><li>
Data Warehouse Management: Manage and optimize the data warehouse, ensuring efficient data storage, retrieval, and transformation. Implement best practices for organizing and managing raw, processed, and curated data, with scalability and future growth in mind</li><li>
Optimize Data Modelling: Write, optimize, and maintain complex SQL queries and Python scripts to ensure efficient data processing.</li><li>
Streamlining Data Workflows: Enhancing data storage, processing, and access methods to improve efficiency, strengthen data observability, and reduce operational costs through targeted infrastructure optimizations.</li><li>
Governance &amp; Quality: Develop and maintain data quality checks to ensure data is accurate, consistent, and regulatory compliant.</li><li>
Develop Integration Procedures: Design and implement processes to integrate data warehouse solutions into operational IT environments.</li><li>
Driving Technical Leadership: Guiding engineering and analytics teams in the execution of data-driven initiatives and innovation.</li><li>
Research &amp; Development: Keep up with the latest technological trends and identify innovative solutions to address customer challenges and company priorities.</li></ul><div><br>
<b>
Skills and Qualifications:</b><ul><li><b>
Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science</b>, or a related field, or equivalent professional experience.</li><li><b>
Minimum of 4 years of hands-on experience</b> in a <b>Data Engineering or Data Architecture role</b>.</li><li>
Proven experience with <b>cloud platforms</b> such as <b>AWS, Azure,</b> or <b>GCP</b>, with practical knowledge of their core data and infrastructure services.</li><li>
Proficient in using <b>ETL tools</b> and <b>frameworks</b> such as <b>AWS Glue, Apache Airflow, Apache Spark, Kafka</b>, <b>Informatica, DataStage,</b> or <b>Talend</b> for integrating data from multiple sources.</li><li>
Demonstrated expertise in setting up and managing scalable, high-performance data warehouse environments.</li><li>
Strong understanding of dimensional data modeling and mapping techniques, including <b>Star, Snowflake</b>, and<b> Galaxy schemas</b>.</li><li>
Solid understanding of data privacy regulations, including GDPR, and experience applying best practices for data security, compliance, and governance.</li><li>
Working knowledge of data observability principles and the full data lifecycle management.</li><li>
Extensive experience in designing and developing ETL architectures to support large-scale, distributed data processing.</li><li>
Deep knowledge of relational database concepts and advanced proficiency in SQL and Python for data manipulation and transformation.</li><li>
Experience working in distributed environments, including clustering, partitioning, and sharding strategies.</li><li>
Familiarity with building semantic models and preparing reporting and mapping documentation.</li><li>
Strong analytical and problem-solving skills, with a logical and solution-oriented mindset.</li><li>
Prior experience in the <b>financial services</b> sector is a plus.</li></ul></div><p>
</p><p>TxQ5oMMo2d</p></div>

Senior Data Engineer

Explore 109+ Etl developer in Lahore this May. Find roles across top companies and apply now to boost your career.

109 etl developer jobs In Lahore

Data Engineer - Analytics

Oracle Data Integrator (ODI) Developer (Remote from Non-India Locations)

Oracle Data Integrator (ODI) Developer (Remote from Non-India Locations)

Data Engineer

Data Engineer (Onsite, Lahore, PKR Salary)

Data Engineer Lahore, Pakistan

Senior Data Engineer