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ZIEL Global Private Limited

About the Role We&rsquo;re looking for a Data Engineer to build secure, reliable, and scalable data pipelines powering real-time analytics and AI insights. You&rsquo;ll design cloud-based architectures that process, clean, and deliver mission-critical data across operations.Key Responsibilities<ul><li>Design and maintain data pipelines for large-scale transactional and real-time data</li><li>Develop ETL/ELT workflows using Azure Data Factory, Databricks, or similar</li><li>Implement data quality, validation, and monitoring frameworks</li><li>Ensure compliance with data governance and protection regulations</li><li>Optimize data storage and access performance</li><li>Collaborate with AI, product, and backend teams for seamless data delivery</li></ul>Qualifications<ul><li>Bachelor&rsquo;s in Computer Science, Engineering, or related field</li><li>5+ years of data engineering experience</li><li>Expertise in SQL, Python, and Azure data services (Data Factory, Synapse, Data Lake)</li><li>Knowledge of both batch and streaming architectures</li><li>Strong understanding of data security and governance</li></ul>Preferred<ul><li>Experience with real-time analytics and industrial or procurement datasets</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

Data Engineer

soum

<div><div>Role: Data Engineer</div><div>
Location: Egypt, Uzbekistan, and Pakistan (Remote)</div><div>
Work Week: Sunday &ndash; Thursday</div><div>
Work Timings: 9:00 AM &ndash; 6:00 PM (Saudi Arabian Time Zone)</div><div></div><div> 
Overview:</div><div>
We&rsquo;re seeking a Data Engineer to design, build, and maintain the data infrastructure that underpins our analytics, ML models, and decision-making processes. You&rsquo;ll be responsible for building scalable data pipelines, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization. Working closely with data scientists, analysts, and product teams, you&rsquo;ll enable data-driven insights while optimizing for performance and scalability. This is a great opportunity to have a direct impact on how data is leveraged across a fast-growing company.</div>
<h3 class="jobSectionHeader">Role &amp; Responsibilities:</h3><ul><li>
Data Pipeline Development &amp; Optimization:</li><li>
Design, build, and maintain scalable and reliable data pipelines to support analytics, ML models, and business reporting.</li><li>
Collaborate with data scientists and analysts to ensure data is available, clean, and optimized for downstream use.</li><li>
Implement data quality checks, monitoring, and validation processes.</li><li>
Data Architecture &amp; Integration:</li><li>
Work with cross-functional teams to design efficient ETL/ELT workflows using modern data tools.</li><li>
Integrate data from multiple sources (databases, APIs, third-party tools) into centralized storage solutions (data lakes/warehouses).</li><li>
Support cloud-based infrastructure for data storage and retrieval.</li><li>
Performance &amp; Scalability:</li><li>
Monitor, troubleshoot, and optimize existing data pipelines to handle large-scale, real-time data flows.</li><li>
Implement best practices for query optimization and cost-efficient data storage.</li><li>
Ensure data is available and accessible for business-critical operations.</li><li>
Collaboration &amp; Documentation:</li><li>
Partner with product, engineering, and business stakeholders to understand data requirements.</li><li>
Document data workflows, schemas, and best practices.</li><li>
Support a culture of data reliability, governance, and security.</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
Proficiency in Python and SQL for data engineering tasks.</li><li>
Strong understanding of ETL/ELT processes, data warehousing, and data modeling.</li><li>
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data storage solutions (BigQuery, Redshift, Snowflake, etc.).</li><li>
Familiarity with data orchestration tools Airflow, Airbyte is a must.</li><li>
Experience with containerization &amp; deployment tools (Docker, Kubernetes) is a plus.</li><li>
Knowledge of data governance, security, and best practices for handling sensitive data.</li><li>
Familiarity to work with Git and GitHub.</li><li>
Dataform is a must</li><li>
Strong skills in eliciting requirements from cross-functional stakeholders and translating them into actionable data engineering tasks.</li></ul><h3 class="jobSectionHeader">
Experience:</h3><ul><li>
2+ years in data engineering, building and maintaining data pipelines.</li><li>
2+ years in SQL and Python development for production environments.</li><li>
Experience working in fast-growing startup environments is a plus.</li><li>
Exposure to real-time data processing frameworks (Kafka, Spark, Flink) is a plus.</li></ul></div>

Confiz

<div>
 We are looking for a Data Engineer with 2&ndash;3 years of experience to join our team. The ideal candidate is passionate about data engineering and eager to learn and grow while supporting the development and maintenance of modern data pipelines and analytics solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Assist in designing, building, and maintaining ETL/ELT data pipelines.
 </li>
 <li>
 Support data ingestion and integration from various source systems into cloud platforms.
 </li>
 <li>
 Write and optimize SQL and Python scripts for data transformation and processing.
 </li>
 <li>
 Work with senior engineers to ensure data accuracy, consistency, and reliability.
 </li>
 <li>
 Implement basic monitoring and logging to ensure data pipelines run smoothly.
 </li>
 <li>
 Document processes, workflows, and data models.
 </li>
 <li>
 Collaborate with stakeholders to understand requirements and deliver data solutions.
 </li>
 <li>
 Participate in code reviews and follow best practices in data engineering.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering
 </li>
 <li>
 2&ndash;3 years of experience in data engineering, data integration, or ETL development.
 </li>
 <li>
 Hands-on experience with SQL and Python.
 </li>
 <li>
 Basic knowledge of data modeling and ETL processes.
 </li>
 <li>
 Familiarity with cloud-based data platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Exposure to tools like ADF, Databricks, or Microsoft Fabric (a plus).
 </li>
 <li>
 Understanding of version control tools (e.g., Git).
 </li>
 <li>
 Strong problem-solving skills and eagerness to learn new technologies.
 </li>
 <li>
 Good communication skills and ability to work collaboratively in a team.
 
 
 </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) and
 
 ISO 14001:2015
 
 (EMS) 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>

<div>We are looking for a Data Engineer with 2&ndash;3 years of experience to join our team. The ideal candidate is passionate about data engineering and eager to learn and grow while supporting the development and maintenance of modern data pipelines and analytics solutions.
Responsibilities
<ul><li>Assist in designing, building, and maintaining ETL/ELT data pipelines.</li>
<li>Support data ingestion and integration from various source systems into cloud platforms.</li>
<li>Write and optimize SQL and Python scripts for data transformation and processing.</li>
<li>Work with senior engineers to ensure data accuracy, consistency, and reliability.</li>
<li>Implement basic monitoring and logging to ensure data pipelines run smoothly.</li>
<li>Document processes, workflows, and data models.</li>
<li>Collaborate with stakeholders to understand requirements and deliver data solutions.</li>
<li>Participate in code reviews and follow best practices in data engineering.</li>
</ul>
Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering</li>
<li>2&ndash;3 years of experience in data engineering, data integration, or ETL development.</li>
<li>Hands-on experience with SQL and Python.</li>
<li>Basic knowledge of data modeling and ETL processes.</li>
<li>Familiarity with cloud-based data platforms (Azure, AWS, or GCP).</li>
<li>Exposure to tools like ADF, Databricks, or Microsoft Fabric (a plus).</li>
<li>Understanding of version control tools (e.g., Git).</li>
<li>Strong problem-solving skills and eagerness to learn new technologies.</li>
<li>Good communication skills and ability to work collaboratively in a team.</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) and ISO 14001:2015 (EMS) 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>

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>

Softmatic Solutions

Job Title: Azure Data EngineerLocation: Ali block, Garden Town, LahoreJob Type: (11:00 AM to 08:00 PM) | Onsite | Full-TimeExperience: 1&ndash;2 YearsJoin Our Team at Softmatic Solutions:We are a software development firm offering expert application and game development services, including Xamarin, Cocos2d, Unity, Flutter, Native Android, and Native iOS. Additionally, we specialize in WordPress development, .NET solutions, and Power BI for data visualization and business intelligence.Recommendations are more than welcome. Job Summary: We are seeking an Azure Data Engineer with intermediate-level expertise to design, build, and maintain scalable data solutions. The ideal candidate will have hands-on experience with ETL/ELT pipelines, Azure data services, and strong analytical skills to support business intelligence and data-driven decision-making.Required Skills &amp; Qualifications:<ul><li>1&ndash;2 years of experience in data engineering or related field.</li><li>Proficiency in SQL and Python for data processing.</li><li>Hands-on experience with Azure Data Services (Data Factory, Data Lake, Synapse, Azure SQL).</li><li>Familiarity with Power BI and Power Apps for reporting and visualization.</li><li>Strong understanding of data warehouse concepts and best practices.</li><li>Excellent analytical and problem-solving skills.</li></ul>Why Join Us?<ul><li>Work in a fast-paced and innovative environment.</li><li>Opportunities for professional growth and development.</li><li>Collaborative and supportive team culture.</li><li>Competitive salary and benefits package.</li></ul>Job Type: Full-timeWork Location: In person

Azure Data Engineer

<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>
 <li>
 Scalability: Architect solutions that can handle rapid growth in data volume and complexity as the business scales
 
 
 </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>
 <li>
 Mindset: A builder mentality&mdash;comfortable with ambiguity, fast iterations, and working in a small but mighty team
 
 
 </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>

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