business analyst

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data engineer

data pipeline engineer

HRCONSOL

We&rsquo;re Hiring: Azure Data EngineerClient: Leading USA-Based Software House Location: Karachi (On-Site) Employment Type: Full-Time Work Arrangement: On-Site Work Hours: Ability to overlap up to 6 hours with US CSTRole OverviewHRCONSOL is hiring an experienced Azure Data Engineer for a leading US-based software organization&rsquo;s Karachi Head Office. This role is ideal for a self-driven professional with strong expertise in Azure and Databricks, capable of owning end-to-end data engineering solutions and collaborating with global teams.Key Responsibilities<ul><li>Design, develop, and implement advanced analytics solutions using Azure &amp; Databricks</li><li>Perform data migration and transformation on Databricks</li><li>Build and maintain scalable data pipelines and API integrations</li><li>Collaborate with data engineers, data scientists, and business stakeholders</li><li>Optimize and tune performance of Azure-based and Databricks solutions</li><li>Monitor and manage Databricks environments for reliability and efficiency</li><li>Lead architecture and development of complex data integration projects</li><li>Conduct code reviews and enforce best practices</li><li>Independently own and manage tasks with timely, high-quality delivery</li><li>Work effectively with cross-functional and remote US-based teams</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, IT, or related field</li><li>6+ years of hands-on experience in Azure &amp; Databricks architecture, migration, and development</li><li>Strong experience in data pipelines, architectures, and data optimization</li><li>Proficiency in Python, Scala, or Java</li><li>Experience with Spark, Hadoop, or other big data technologies</li><li>Strong SQL and relational database knowledge</li><li>Experience with cloud infrastructure monitoring and management tools</li><li>Excellent analytical, troubleshooting, and communication skills</li><li>Ability to work independently and overlap with US CST hours (up to 6 hours)</li></ul>Preferred<ul><li>Azure and/or Databricks certifications</li></ul>Technical Skill Set<ul><li>Azure Data Factory (ADF)</li><li>Databricks</li><li>SQL &amp; NoSQL Databases</li><li>Data Modeling &amp; Data Warehousing</li><li>ETL Tools &amp; Processes</li><li>Azure Synapse Analytics</li><li>Python and/or Scala</li><li>Power BI or other data visualization tools</li></ul>How to ApplyInterested candidates can apply by sending their updated CV to: jobs@hrconsol.com Mention &ldquo;Azure Data Engineer &ndash; Karachi&rdquo; in the subject line.Job Type: Full-timePay: Rs300,000.00 - Rs600,000.00 per monthWork Location: In person

Azure Data Engineer

Confiz

<div>We are looking for a Principal Data Engineer, responsible for leading data engineering teams. He/she will provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment. Collaboration is key for a Principal Data Engineer as he/she will work closely with stakeholders to define project requirements. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
Responsibilities:
<ul><li>Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems.</li>
<li>Build &amp; maintain ETL/ELT Ingestion pipelines and analytics solutions using cloud technologies.</li>
<li>Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards.</li>
<li>Implement monitoring and logging solutions to ensure data pipelines run smoothly and issues are promptly identified.</li>
<li>Ensure all data processing complies with security policies and data protection regulations.</li>
<li>Takes the lead in ensuring that data is accurate, consistent, and reliable.</li>
<li>Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.</li>
<li>Work with Stakeholders and Understand their Requirements</li>
</ul>
Qualifications
<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).</li>
<li>5+ years of overall experience in data engineering &amp; data warehousing domain focusing on building large scale data pipelines</li>
<li>3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks, AWS EMR</li>
<li>Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend</li>
<li>Proficiency in Python &amp; SQL</li>
<li>Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain</li>
<li>Strong problems solving and critical thinking skills</li>
<li>Experience of writing effective and maintainable unit and integration tests for ingestion pipelines.</li>
<li>Working knowledge of CI/CD pipelines for deployments.</li>
<li>Working knowledge of using code version control repositories like Git.</li>
<li>Knowledge of designing, developing, and managing Kafka-based data pipelines</li>
<li>Knowledge of security best practices including encryption of sensitive data, encryption at rest and encryption in flight.</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

<div>We are seeking a Principal Data Engineer with 5+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.
Key Responsibilities
<ul><li>Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li>Develop batch processing workflows with Apache Spark (PySpark)</li>
<li>Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory</li>
<li>Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes</li>
<li>Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg</li>
<li>Build high-performance analytics engines using tools like Trino or Presto</li>
<li>Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps</li>
<li>Ensure data quality and consistency using tools like Great Expectations</li>
<li>Write modular, well-tested, and maintainable Python and SQL code</li>
<li>Develop an observability layer to monitor and optimize performance across data pipelines</li>
<li>Lead and mentor a team of data engineers</li>
<li>Participate in agile ceremonies and contribute to sprint planning and reviews</li>
</ul>
Required Skills &amp; Experience
<ul><li>Advanced Python programming with a strong focus on modular and testable code</li>
<li>Strong knowledge of SQL and experience working with large-scale datasets</li>
<li>Hands-on experience with at least one major cloud platform (Azure preferred)</li>
<li>Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)</li>
<li>Expertise in Apache Spark (PySpark) for batch processing</li>
<li>Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)</li>
<li>Proficient in using Azure Data Factory or Apache Airflow for data orchestration</li>
<li>Experience in building APIs to expose large datasets</li>
<li>Solid experience with Docker, Kubernetes, and Helm</li>
<li>Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg</li>
<li>Basic experience with Terraform for infrastructure provisioning</li>
<li>Practical experience with data quality frameworks (e.g., Great Expectations)</li>
<li>Comfortable working in agile development teams</li>
<li>Proven ability in debugging and performance tuning of streaming and batch data jobs</li>
<li>Experience with AI-driven tools (e.g., text-to-SQL) is a plus</li>
<li>Bachelor&rsquo;s degree in computer science or related discipline</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 (PySpark)

Polymer Bags Manufacturing Company

Key Responsibilities<ul><li>Develop and maintain ETL/ELT pipelines to ingest data from diverse sources.</li><li>Build and optimize data storage solutions such as data warehouses, data lakes, and marts.</li><li>Ensure high-quality, reliable, and documented data workflows for analytics teams.</li><li>Troubleshoot data issues and enhance the performance of data systems.</li><li>Collaborate with analysts, data scientists, product owners, and business stakeholders on requirements and best practices.</li><li>Support data governance, security, and compliance standards.</li><li>Maintain clear documentation of data infrastructure, workflows, and standards.</li></ul>Required Qualifications✅ Must have a Bachelor&rsquo;s or Master&rsquo;s degree in:<ul><li>Data Science</li><li>Data Engineering</li><li>Computer Science with a strong data specialization</li><li>Information Systems with a data focus</li><li>Statistics, Mathematics, or closely related quantitative degree with demonstrated data coursework</li></ul>Job Type: Full-timePay: From Rs80,000.00 per monthWork Location: In person

Data Engineer

Efrotech Services

Key Responsibilities<ul><li>Develop and maintain ETL/ELT pipelines to ingest data from diverse sources.</li><li>Build and optimize data storage solutions such as data warehouses, data lakes, and marts.</li><li>Ensure high-quality, reliable, and documented data workflows for analytics teams.</li><li>Troubleshoot data issues and enhance the performance of data systems.</li><li>Collaborate with analysts, data scientists, product owners, and business stakeholders on requirements and best practices.</li><li>Support data governance, security, and compliance standards.</li></ul>Job Type: Full-timePay: From Rs80,000.00 per monthWork Location: In person

Qureos

About Qureos Hiring is broken. Slow. Manual. Expensive.At Qureos, we’re rebuilding how companies hire using AI, structured processes, and smart automation.We move fast. We test aggressively. We scale what works.Now we’re looking for a GTM Engineer who can build the engine behind our revenue machine.If you enjoy scraping clean data, wiring tools together, automating workflows, and watching pipeline velocity improve because of systems you built — keep reading. The Role This isn’t traditional RevOps.This is hands-on, technical GTM engineering.You’ll sit at the intersection of:<ul><li>Sales</li><li>Growth</li><li>Data</li><li>Automation</li></ul>  Your mission: Build and optimize the infrastructure that powers our entire revenue engine. What You’ll Own <ol><li>Lead Intelligence &amp; List Building - Scrape and enrich lead data using tools and scripts - Build high-quality, segmented lead lists - Use LinkedIn Sales Navigator, scraping tools, APIs, and enrichment platforms - Continuously improve data quality and targeting logic - Outbound shouldn’t rely on guesswork. It should run on signal.  </li><li>GTM Automations - Build automations using Make / Zapier - Connect HubSpot, Zoho, LinkedIn, Airtable, and other tools - Design workflows that eliminate manual tasks - Automate lead routing, enrichment, tagging, and lifecycle transitions - If it’s repetitive, it should be automated.  </li><li>Sales &amp; SDR Sequences - Set up and optimize outbound sequences - Structure email + LinkedIn cadences - Align messaging workflows with ICP segments - Improve conversion rates across touchpoints - Sequences are systems. Systems should be engineered.  </li><li>Integrations &amp; Infrastructure - Connect tools across the revenue stack - Build API-based integrations where needed - Write Python scripts for scraping and automation - Maintain data integrity across systems - Troubleshoot workflow issues proactively - You should be comfortable going from no-code to code when needed.  </li><li>Reporting &amp; Revenue Insights - Review performance numbers across the funnel - Track pipeline coverage and velocity - Maintain clean dashboards and reporting structures - Use Mixpanel, Airtable, CRM data to provide actionable insights - Identify bottlenecks and propose fixes - This role is not just building systems — it’s improving them.</li></ol> Who You Are <ul><li>2–5 years experience in GTM, RevOps, Growth Ops, or technical sales operations</li><li>Comfortable with both no-code tools and writing scripts</li></ul> Experience with: <ul><li>HubSpot</li><li>Zoho</li><li>LinkedIn Sales Navigator</li><li>Make / Zapier</li><li>Python (scraping / automation)</li><li>Mixpanel</li><li>Airtable</li><li>Strong understanding of outbound and pipeline mechanics</li><li>Numbers-driven, you care about conversion rates, velocity, and coverage</li><li>Builder mindset: high ownership, fast execution</li><li>Comfortable working in ambiguity</li><li>Thinks in systems, not tasks</li></ul> You don’t wait for instructions.You identify inefficiencies and fix them. What Good Performance Looks Like <ul><li>Clean, scalable GTM infrastructure</li><li>2–3x pipeline coverage maintained</li><li>Reduced manual work across SDR &amp; sales teams</li><li>Accurate reporting and visibility</li><li>Faster lead-to-meeting conversion</li><li>Revenue engine that runs smoother every month</li></ul> Why Join Qureos <ul><li>Build the backbone of a fast-scaling AI company</li><li>High ownership and autonomy</li><li>Direct impact on revenue growth</li><li>Work closely with growth and leadership</li><li>No bureaucracy. Just speed and execution.</li></ul> If building systems that drive revenue excites you more than maintaining spreadsheets, apply.Let’s engineer the growth engine.

GTM Engineer

NorthBay Solutions

<div>Job Title: SDLC Security Operations Engineer (DevSecOps)
Experience: 7&ndash;9 Years 
Location: Pakistan - Remote (UAE Business Hours) 
Employment Type: Full-Time
Job Summary
We are looking for a hands-on SDLC Security Operations Engineer to embed security controls into CI/CD pipelines and engineering workflows for a larger enterprise customer in the UAE. This role focuses on operationalizing DevSecOps integrating scanning tools, enforcing pipeline guardrails, reducing security debt, and ensuring SDLC controls align with ISO 27001, SOC 2, PIC/DSS etc.
Key Responsibilities<ul><li>
Integrate and operate security controls across CI/CD pipelines using GitHub, GitLab, Azure DevOps, and Jenkins</li><li>
Implement and manage SAST/DAST, dependency scanning, secret scanning, and pipeline security gates (build-time enforcement)</li><li>
Establish secure build and release practices: artifact integrity, signing/verification, and controlled promotions across environments</li><li>
Implement secure secrets management practices and prevent credential leakage in repos and pipelines</li><li>
Drive remediation workflows with developers: triage findings, validate fixes, reduce false positives, and improve rule tuning</li><li>
Embed security checks for infrastructure-as-code and configuration where applicable; ensure consistent secure-by-default patterns</li><li>
Support secure SDLC documentation, control mapping, and audit evidence for ISO 27001, SOC 2, etc. (policies, logs, approvals, attestations)</li><li>
Contribute to developer enablement via secure coding guidance, playbooks, and integration patterns that reduce friction</li></ul>
Required Skills &amp; Qualifications<ul><li>
7&ndash;9 years of experience in DevSecOps / Application Security Engineering / SDLC Security Operations</li><li>
Strong hands-on experience with CI/CD tools: GitHub, GitLab, Azure DevOps, Jenkins</li><li>
Hands-on experience operating AppSec tooling: SAST/DAST and software supply chain controls (dependency risk management)</li><li>
Strong understanding of secure SDLC concepts (threat modeling basics, security testing, release governance)</li><li>
Ability to collaborate deeply with engineering teams and translate findings into actionable fixes</li><li>
Familiarity with Linux-based build environments and common developer workflows</li></ul>
Preferred Certifications<ul><li>
CSSLP or equivalent application security certifications</li><li>
CISSP or CISM</li></ul>
PCI DSS / Payment Security:<ul><li>
PCIP (ISA) &ndash; PCI Professional (Internal Security Assessor)</li><li>
Qualified Security Assessor (QSA) (where applicable/available)</li></ul>
Audit / Compliance:<ul><li>
CISA</li></ul>
Cloud / DevOps:<ul><li>
AWS Certified DevOps Engineer &ndash; Professional</li><li>
AWS Certified Security &ndash; Specialty</li><li>
Microsoft Azure DevOps Engineer Expert (AZ-400)</li><li>
Microsoft Azure Security Engineer Associate (AZ-500)</li></ul>
Good to Have<ul><li>
Experience in telecom, government or regulated environments with audit-driven SDLC controls</li><li>
Exposure to container security, artifact repositories, and release governance patterns</li><li>
Automation skills (Python/Bash) to streamline scanning, reporting, and control enforcement</li></ul>
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SDLC Security Operations Engineer (DevSecOps)

Explore 286+ Data pipeline engineer in Karachi this February. Find roles across top companies and apply now to boost your career.

286 data pipeline engineer jobs In Karachi

Azure Data Engineer

Principal Data Engineer

Principal Data Engineer (PySpark)

Data Engineer

Data Engineer

GTM Engineer

SDLC Security Operations Engineer (DevSecOps)