data scientist

ai engineer

data analyst

aws data engineer

ai data scientist

data engineer

Darkroom

<div>
 <strong>
  Data Engineer | Matter
  <br/>
  <br/>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are seeking an experienced
 <strong>
  Senior Data Engineer
 </strong>
 . You&rsquo;ll work closely with our CTO, CPO, and product teams to architect, build, and deliver robust data pipelines and transformations for our always-on AI platform. Success in this role will have a direct, measurable impact on business outcomes and future product velocity.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, build, and optimize scalable end-to-end data pipelines using dbt and our stack (Python microservices, Postgres, BigQuery, and GCP).
  </li>
  <li>
   Design, implement, and maintain ETL/ELT processes to ingest, clean, and transform large datasets from a variety of sources.
  </li>
  <li>
   Collaborate with product and engineering to define data requirements for new product features and analytics initiatives.
  </li>
  <li>
   Manage our data pipeline by onboarding new clients, loading their data, and applying all required formulas.
  </li>
  <li>
   Maintain and troubleshoot workflows by fixing broken formulas, adding new services, and ensuring reliable, high-throughput performance.
  </li>
  <li>
   Ensure data reliability, integrity, and security at scale.
  </li>
  <li>
   Troubleshoot, performance-tune, and document all pipelines and data workflows for smooth handoff.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of hands-on experience building production-grade data pipelines, ETL/ELT workflows, and transformed datasets at scale.
  </li>
  <li>
   Expert-level Python; strong experience with dbt, Postgres, BigQuery, and core GCP data services (e.g., Dataflow, Pub/Sub, Storage, Composer).
  </li>
  <li>
   Demonstrated experience architecting, optimizing, and troubleshooting cloud-based data infrastructure.
  </li>
  <li>
   Familiarity with analytics, BI tools, and data visualization platforms is a plus.
  </li>
  <li>
   Startup or contract/consulting experience strongly preferred; you move quickly and commit to clear deliverables and deadlines.
  </li>
  <li>
   Excellent communication skills: you read requirements carefully, keep stakeholders looped in, and document as you go. You can boil down complex tasks into plain english for non-data engineers to understand.
  </li>
  <li>
   Low-ego, high-ownership, and passionate about building product-focused solutions.
  </li>
 </ul>
</div>


Data Engineer

The Services Tree Enterprises 

<p><b>Job Description:</b><br/>SourceTeK is hiring a <b>Data Engineer</b> for one of our clients based in <b>Johar Town, Lahore</b>. We are looking for a motivated professional with <b>2&ndash;3+ years of experience</b> in data engineering, especially someone who has <b>hands-on experience with DBT tools</b> and a strong understanding of modern data pipelines.</p><p><b>Key Responsibilities:</b></p><ul><li>Build, maintain, and optimize data pipelines</li><li>Work with DBT tools for data modeling and transformations</li><li>Collaborate with cross-functional teams to ensure data accuracy and availability</li><li>Troubleshoot and optimize data workflows</li></ul><p><b>Requirements:</b></p><ul><li>2&ndash;3+ years of experience as a Data Engineer</li><li>Strong experience with <b>DBT tools</b></li><li>Proficiency in SQL and data pipeline development</li><li>Experience with cloud platforms is a plus</li><li>Strong analytical and problem-solving skills</li></ul><p><b>How to Apply:</b><br/>If you&rsquo;re interested, please <b>send your resume to talent@sourcetek.co</b> or <b>apply through Indeed</b>.</p><p>Job Type: Full-time</p><p>Pay: Rs120,000.00 - Rs200,000.00 per month</p><p>Experience:</p><ul><li>Data Engineer: 2 years (Preferred)</li></ul><p>Work Location: In person</p>

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Data Engineer (SQL Server, ETL &amp; Performance Optimization)</b></h1><p><b>
Location:</b> Islamabad<br>
<b>Job Type:</b> Full-Time<br>
<b>Experience Level:</b> 5 - 7 Years<br>
<b>Industry:</b> Banking / Financial Services (Preferred)</p><h2 class="jobSectionHeader"><b>
Role Summary</b></h2><p>
We are seeking a highly skilled <b>Data Engineer</b> with deep expertise in SQL Server performance optimization, high-volume ETL operations, and large-scale data processing. The ideal candidate will have hands-on experience managing complex data ecosystems, optimizing long-running jobs, and ensuring robust, efficient, and scalable ETL pipelines. Experience in financial systems or large MIS/reporting environments will be a strong plus.</p><h2 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h2><ul><li><p>
Design, develop, and optimize <b>SQL Server</b> queries, indexes, partitions, and overall database performance.</p></li><li><p>
Perform <b>SQL Server performance tuning</b> to support high-volume OLTP and OLAP workloads.</p></li><li><p>
Optimize and maintain <b>ETL batch jobs</b>, ensuring efficient execution and minimal downtime.</p></li><li><p>
Handle <b>large-volume data loads</b>, ensuring reliability, consistency, and performance across data pipelines.</p></li><li><p>
Troubleshoot and resolve <b>long-running or failing ETL jobs</b>, bottlenecks, and inefficiencies.</p></li><li><p>
Develop and maintain <b>CDC (Change Data Capture)</b>-based incremental data models.</p></li><li><p>
Manage <b>end-to-end ETL processes</b>, including scheduling, orchestration, monitoring, and debugging.</p></li><li><p>
Work with <b>SQL CLR functions and assemblies</b>, including reviewing, debugging, updating, and replacing them when necessary.</p></li><li><p>
Collaborate closely with BI, Data Analytics, and Application teams to support data integration requirements.</p></li><li><p>
Ensure data quality, consistency, and compliance across all integrated systems.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Required Skills &amp; Expertise</b></h2><ul><li><p>
Strong hands-on experience with <b>SQL Server</b> (performance tuning, indexing, partitioning, query optimization).</p></li><li><p>
Deep understanding of <b>ETL frameworks</b>, including batch processing and incremental loads.</p></li><li><p>
Experience managing <b>large ETL architectures</b> with complex dependencies.</p></li><li><p>
Strong knowledge of <b>CDC</b> and incremental data movement strategies.</p></li><li><p>
Expertise in working with <b>large OLTP and OLAP environments</b>.</p></li><li><p>
Experience with <b>SQL CLR functions and assemblies</b> (reading, debugging, modifying).</p></li><li><p>
Strong troubleshooting skills for long-running processes, query slowness, and data pipeline issues.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Preferred Experience</b></h2><ul><li><p>
Experience in the <b>banking or financial domain</b> (T24 or similar core banking systems).</p></li><li><p>
Hands-on experience working with <b>heavy reporting</b> or <b>MIS environments</b> with demanding data refresh cycles.</p></li><li><p>
Exposure to <b>large-scale ETL ecosystems</b> involving <b>500+ tables</b> or high-volume enterprise data models.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Soft Skills</b></h2><ul><li><p>
Strong problem-solving and analytical abilities.</p></li><li><p>
Effective communication and collaboration skills.</p></li><li><p>
Ability to work independently in high-pressure, data-intensive environments.</p></li><li><p>
Attention to detail with a commitment to data accuracy and quality.</p></li></ul><p>
</p><p>f5WKf99vdd</p></div>

H2o Labs

<p><b>Data Engineer</b></p><p><b>Timing: 05:00 PM to 02:00 AM</b></p><p><b>Job Type: Full-Time (On-site)</b></p><p><b>Location: Johar Town</b></p><p><b>About the Role We</b> are looking for a highly skilled and versatile Data Engineer to join our team. The ideal candidate will have expertise in building and maintaining scalable data infrastructure, focusing on data pipelines, cloud technologies, and data processing systems. This role requires hands-on experience in designing and deploying reliable, high-performance data solutions that meet the demands of large-scale operations. <b>Key Responsibilities</b>:</p><ul><li><b>Data Infrastructure &amp; Pipeline Development</b>:</li><li>Design, build, and maintain efficient, scalable, and robust data pipelines for data extraction, transformation, and loading (ETL).</li><li>Develop and optimize SQL queries for complex data processing and ensure high data quality.</li><li>Implement and manage automated data workflows using orchestration tools like Airflow.</li><li><b>Cloud Data Platforms</b>:</li><li>Work extensively with cloud-based platforms like AWS, Azure, or GCP to build and manage data infrastructure.</li><li>Utilize services such as Azure Data Factory, AWS Glue, BigQuery, or similar tools for data ingestion, transformation, and storage.</li><li>Implement monitoring, logging, and alerting to ensure continuous data pipeline performance and reliability.</li><li><b>Data Modeling &amp; Warehousing</b>:</li><li>Design and implement dimensional models and maintain data warehouses to support business intelligence and analytics.</li><li>Develop and manage data schemas, ensuring consistency and integrity across systems.</li><li>Optimize data storage, querying, and retrieval processes to meet business needs.</li><li><b>Data Processing &amp; Stream Handling</b>:</li><li>Build real-time data pipelines using tools like Apache Kafka, Spark, or similar technologies for data stream processing.</li><li>Handle large datasets and complex transformations to support analytical workflows and reporting.</li></ul><p><b>Key Skills &amp; Qualifications</b>:</p><ul><li>Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience).</li><li>Proficiency in SQL, with hands-on experience in complex queries, joins, and optimizations.</li><li>Strong experience with cloud platforms (AWS, Azure, GCP), with tools like Azure Data Factory, AWS Glue, BigQuery, or similar.</li><li>Expertise in building and maintaining scalable ETL pipelines using tools like Airflow, DBT, or Spark.</li><li>Experience with data modeling and warehousing, including dimensional modeling, schema design, and data integrity management.</li><li>Familiarity with stream processing technologies like Kafka and Spark.</li><li>Hands-on experience with containerization tools like Docker and orchestration platforms like Kubernetes.</li><li>Strong problem-solving skills and the ability to troubleshoot and optimize complex data workflows.</li><li>Experience with data security, governance, and compliance standards.</li><li>Strong communication skills to collaborate effectively with technical and non-technical teams.</li></ul><p><b>Preferred Skills</b>:</p><ul><li>Experience with data visualization tools (e.g., Power BI, Tableau) for creating dashboards and reporting.</li><li>Familiarity with Python for data transformations, automation, and scripting.</li><li>Experience with metadata management and data cataloguing tools.</li><li>Familiarity with monitoring tools like Datadog, Prometheus, or Grafana.</li></ul><p><b>Benefits</b></p><ul><li><b>Commissions- </b>On Success fulling closing of project</li><li><b>Meal Facility &ndash;</b> Enjoy delicious meals at the office.</li><li><b>Gym Facility &ndash; </b>Stay active with access to our partner gym.</li><li><b>Health Support &ndash; </b>Get free medical consultations when needed.</li><li><b>Restaurant Perks </b>&ndash; Enjoy special discounts and offers through our restaurant collaborations.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs150,000.00 - Rs250,000.00 per month</p><p>Work Location: In person</p>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><ul><li> Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and Databricks</li></ul>
<ul><li> Highly proficient with Python and PL/SQL</li></ul>
<ul><li> Experience in building ETL / data warehouse transformation processes</li></ul>
<ul><li> Strong experience with Big Data, Data analysis with excellent analytical and problem-solving abilities</li></ul>
<ul><li> Experience in Big Data components such as Spark SQL, Data frames, HIVE DB etc. implemented using Data Bricks would be preferred.</li></ul>
<ul><li> Hands on experience on Cloud based environments - AWS preferred</li></ul>
<ul><li> Hands on experience on AWS S3, Lambda, Redshift, Redshift Spectrum, Athena</li></ul>
<ul><li> Excellent understanding of the full SDLC lifecycle including both waterfall, agile and DevOps methodologies</li></ul>
<ul><li> Desire to work on a fast-paced, agile team</li></ul>
<ul><li> Excellent written and verbal communication skills</li></ul>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>383355</div>
</div><div><div><b>Desired Skills</b></div>
<div>AWS | BigData | PL/SQL | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Pragma Edge

<div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><ul><div><div>Job Category - IT</div>
</div><div></div><div><div>Job Type - Full Time</div>
</div><div></div><div><div>No of openings: 01</div>
</div><div></div><div><div>Experience : 6 to 8 Years</div>
</div><div></div><div><div>Job Location - Hyderabad</div>
</div></ul></div></div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>Senior IT Data Engineer</div>
</div></div><div><div><p>The Senior IT Data Engineers are experts in data streaming, building data pipelines that support real-time data refreshes and are cost-optimized for computing resources. They deeply understand data security, implementing row-level and column-level security measures.
</p><p>This role typically involves leading the implementation of complex projects, using advanced big data technologies, and ensuring robust data pipeline orchestration across multiple systems.</p>
</div></div><div><div><div>Job Responsibilities</div>
</div></div><div><div><ul><li>Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models.</li><li>
Architect scalable data solutions, including data warehousing and big data technologies, and ensure alignment with organizational goals.</li><li>
Implement advanced data governance frameworks and ensure robust data security measures.</li><li>
Optimize cloud costs by strategically using cloud resources and efficient data architectures.</li><li>
Lead the development of data visualization strategies, ensuring they contribute to data-driven decision-making at a strategic level.</li><li>
Design and deploy enterprise-scale data visualization solutions, optimizing performance within tools.</li><li>
Oversee complex data pipeline orchestration and ensure seamless integration across systems.</li><li>
Interact with 3rd party vendors to incorporate new functionality and evaluate tools.</li><li>
Resolve complex escalations and situations, driving effective resolutions.</li><li>
Ensure adherence to data privacy and security practices to protect sensitive information.</li><li>
Communicate effectively with stakeholders to understand and address their needs through data visualization.</li><li>
Perform other assigned job-related duties that align with our organization&rsquo;s vision, mission, and values and fall within your scope of practice.</li></ul>
</div></div><div><div><div>Qualifications</div>
</div></div><div><div><ul><li>Education: Bachelor&rsquo;s Degree or relevant experience.</li><li>
Preferred Certification(s): Any relevant IT Certification.</li><li>
Experience: 5+ years of relevant and practical experience.</li></ul><p><b>
Special Skills:</b></p><ul><li>
Advanced skills in data streaming and real-time data processing.</li><li>
Expertise in designing complex data architectures and scalable systems.</li><li>
Deep knowledge of big data technologies and extensive experience with data security measures.</li><li>
Ability to lead data architecture reviews and approvals.</li></ul><p><b>
Soft Skills:</b></p><ul><li>
Project Management: Learning and understanding complex data initiatives from conception to completion.</li><li>
Mentorship: Guiding junior team members in their professional development.</li><li>
Strategic Thinking: Aligning data solutions with broader organizational goals.</li><li>
Communication: Articulating data strategies to both technical and non-technical stakeholders.</li><li>
Problem-Solving: Resolving complex data challenges and escalations.</li><li>
Adaptability: Staying current with rapidly evolving data technologies and best practices.</li><li>
Creativity: Innovating new approaches to data pipeline design and optimization.</li></ul></div></div></div></div></div></div></div></div></div><p></p>

Software Finder Careers

<div>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 We are looking for a skilled and motivated Data Engineer to support the design, development, and optimization of our data infrastructure across multiple cloud environments. The role involves creating reliable data pipelines, developing clean data models, and ensuring data quality and availability for analytics, reporting, and business operations.
 <br/>
 <br/>
 The ideal candidate should have at least three years of experience in data engineering or a related field, strong analytical skills, and practical knowledge of modern data tools and frameworks.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain data pipelines to collect, process, and deliver structured and unstructured data.
  </li>
  <li>
   Develop and optimize data models to support reporting and analytical needs.
  </li>
  <li>
   Work with multiple cloud platforms (AWS, Azure, or GCP) to ensure scalability, performance, and reliability of data systems.
  </li>
  <li>
   Support integration of various data sources and APIs into the central data infrastructure.
  </li>
  <li>
   Implement data validation, quality checks, and governance processes.
  </li>
  <li>
   Collaborate with cross-functional teams to understand business data requirements.
  </li>
  <li>
   Assist in documenting workflows, architecture diagrams, and technical specifications.
  </li>
  <li>
   Contribute to automation and efficiency improvements across data workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  </li>
  <li>
   Understanding of data modeling, normalization, and database design principles.
  </li>
  <li>
   Experience with data integration and transformation workflows.
  </li>
  <li>
   Familiarity with at least one major cloud platform (AWS, Azure, or GCP).
  </li>
  <li>
   Strong analytical mindset and attention to data accuracy.
  </li>
  <li>
   Experience: 3&ndash;6 years building production-grade data platforms (ELT/ETL, modeling, reliability).
  </li>
  <li>
   Languages: Strong SQL and Python; writing testable, modular code.
  </li>
  <li>
   Modeling: Hands-on with dimensional modeling and SCD2; comfort with audit logging and provenance.
  </li>
  <li>
   Orchestration &amp; ELT: Real-world experience with a workflow scheduler and transformation framework.
  </li>
  <li>
   Warehouses &amp; Storage: Managed Postgres and at least one analytical warehouse (BigQuery or Snowflake); object storage on a major cloud (AWS/GCP/Azure).
  </li>
  <li>
   Quality &amp; Testing: Implemented data quality gates, CI for data, and schema enforcement.
  </li>
  <li>
   Security: Practical PII handling, access controls, secrets management, and key rotation.
  </li>
  <li>
   Reliability: Monitoring, alerting, on-call/readiness mindset; performance tuning of SQL jobs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with data orchestration or workflow tools (e.g., Airflow).
  </li>
  <li>
   Knowledge of data warehousing and analytics concepts.
  </li>
  <li>
   Exposure to BI or visualization tools (e.g., Power BI, Tableau, Looker).
  </li>
  <li>
   Understanding of data governance and security best practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Software Finder
 </strong>
 is a leading B2B SaaS marketplace that helps businesses discover, compare, and select the right software solutions. Our platform connects companies with tailored software options based on their unique needs, supported by verified reviews and expert insights.
 <br/>
 <br/>
 With a growing portfolio of software categories and a global user base, Software Finder is committed to simplifying the software selection process and empowering businesses to make informed decisions.
 <br/>
 <br/>
 Our team is driven by a shared mission to innovate, collaborate, and deliver value to our users. As we continue to grow, we are always looking for talented individuals who are passionate about technology, customer success, and making an impact.
</div>


Explore 3244+ Data engineer in Pakistan this December. Find roles across top companies and apply now to boost your career.

3244 data engineer jobs IN Pakistan

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer