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Pivotize Consulting

Position Overview:We are seeking a experienced Data Engineer to join the team. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining the infrastructure necessary for our data initiatives, ensuring scalability, reliability, and efficiency. You will collaborate with cross-functional teams to develop robust data pipelines, optimize data workflows, and ensure the reliability and scalability of our data systems.Key Responsibilities:&middot; Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from disparate sources into SQL Server databases.&middot; Write complex SQL queries, stored procedures, and optimize database performance for large-scale datasets.&middot; Develop and implement efficient data models to support analytical and reporting requirements.&middot; Design, implement, and optimize database structures, stored procedures, queries, and views for performance and scalability.&middot; Design and implement database schemas, tables, indexes, Triggers and constraints to ensure efficient storage and retrieval of data.&middot; Perform database debugging, troubleshooting, and bug fixing to identify and resolve issues related to data integrity, performance, and functionality.&middot; Troubleshoot and resolve database issues, including performance bottlenecks, data corruption, and system errors.&middot; Collaborate with cross-functional teams, including software developers, analysts, and business stakeholders, to gather requirements and implement database solutions.&middot; Implement security measures and access controls to protect sensitive data stored in SQL Server databases, in compliance with regulatory requirements and industry best practices.Requirements:&middot; Degree in Computer Science, Engineering, or a related field.&middot; Strong expertise in Microsoft SQL Server (T-SQL, indexing, query tuning, performance optimization).&middot; 5+ years of experience as a Data Engineer or similar role, with a strong background in data warehousing, ETL, and database technologies.&middot; Can demonstrate experience working with large and complex data sets as well as experience analyzing volumes of data.&middot; Experience with monitoring and optimizing database performance in production environments.&middot; Familiarity with cloud-based data architecture and pipelines.&middot; Strong problem-solving, analytical, and debugging skills.&middot; Ability to analyze complex data sets and design scalable data solutions.&middot; Excellent communication and collaboration skills.Job Type: Full-timeApplication Question(s):<ul><li>what is your current salary?</li><li>what is your expected salary?</li><li>What is your notice period?</li><li>Since it's an onsite role, would you be able to commute to Bahria Complex 1, M.T. Khan Road?</li></ul>Work Location: In person

Data Engineer

digital.enterprises

<div>
 
 Data Engineer - Build the Data Backbone of ADAPT
 
 
 
 
 About Digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector.
 
 
 We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations.
 
 
 Based in Doha, the gas capital of the world, we bring deep industry expertise together with cutting-edge digital thinking to transform how energy companies work, connect, and grow.
 
 
 If youre driven by impact, speed, and purpose not titles or bureaucracy youll fit right in.
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship digital platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem.
 
 
 It replaces slow, fragmented processes with real-time intelligence and automation, connecting operators, contractors, and suppliers through live data, adaptive analytics, and secure, human-in-the-loop governance.
 
 
 Built on Microsoft cloud and AI, ADAPT delivers visibility, intelligence, and agility at industrial scale redefining how energy companies collaborate and compete.
 
 
 
 About The Role
 
 
 
 We are hiring a Data Engineer to design and build secure, scalable data infrastructure for the energy sector. This role focuses on developing robust, high-performance data solutions that enable seamless connectivity across the supply chain from urgent maintenance events to complex planned turnarounds.
 
 
 You will help create the real-time data foundation that powers ADAPT, providing instant visibility and insights that drive smarter, faster, and safer decisions in mission-critical environments.
 
 
 The ideal candidate will have at least five years professional experience and demonstrate excellence in building well-documented, secure, and reliable data solutions that underpin digital transformation at scale.
 
 
 
 Key Responsibilities
 
 
 
 Data Pipeline Development &amp; Optimisation
 
 
 <ul>
 <li>
 Design and implement highly optimised pipelines for processing large-scale supply-chain data supplier performance, inventory, procurement transactions, and real-time equipment status.
 </li>
 <li>
 Develop maintainable ETL/ELT processes supporting both planned and emergency operations, with emphasis on code reusability and long-term stability for 24/7 uptime.
 </li>
 <li>
 Optimise performance to ensure sub-second response for live dashboards and supplier availability.
 </li>
 <li>
 Build automated data-quality frameworks to validate supplier qualifications, inventory accuracy, and compliance data essential to safety and reliability.
 </li>
 <li>
 Support real-time analytics through streaming data pipelines powering live operational intelligence.
 
 
 
 </li>
 </ul>
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement strong data-security controls encryption, access management, and masking.
 </li>
 <li>
 Design and enforce data-governance policies aligned with international standards (GDPR, HIPAA, etc.).
 </li>
 <li>
 Conduct regular security audits and vulnerability assessments of data systems.
 </li>
 <li>
 Apply row- and column-level security to protect sensitive data where required.
 
 
 
 </li>
 </ul>
 
 
 
 Azure Cloud Infrastructure
 
 
 
 
 
 <ul>
 <li>
 Architect and maintain data solutions using Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
 </li>
 <li>
 Integrate Azure Key Vault, Active Directory, and managed identities for secure operations.
 </li>
 <li>
 Optimise Azure resources for cost efficiency and performance.
 </li>
 <li>
 Design and implement backup and disaster-recovery strategies.
 </li>
 <li>
 Leverage Azure Monitor and Application Insights for proactive monitoring and alerting.
 
 
 
 </li>
 </ul>
 
 
 
 Maintainability &amp; Documentation
 
 
 
 
 
 <ul>
 <li>
 Create comprehensive technical documentation for pipelines, architectures, and processes.
 </li>
 <li>
 Maintain detailed runbooks and operational procedures.
 </li>
 <li>
 Implement version control and CI/CD pipelines for data workflows.
 </li>
 <li>
 Document data lineage, transformation logic, and metadata repositories.
 
 
 
 </li>
 </ul>
 
 Communication &amp; Collaboration
 
 
 
 <ul>
 <li>
 Communicate technical concepts clearly to both technical and business stakeholders.
 </li>
 <li>
 Collaborate with developers, analysts, and business teams to translate requirements into data solutions.
 </li>
 <li>
 Provide regular status updates and progress reports to management.
 
 
 
 </li>
 </ul>
 
 System Maintenance &amp; Optimisation
 
 
 
 <ul>
 <li>
 Monitor system health proactively and implement preventive maintenance.
 </li>
 <li>
 Design with maintainability at the core for fast troubleshooting and iteration.
 </li>
 <li>
 Implement automated testing for pipelines.
 </li>
 <li>
 Define and uphold SLAs for data availability and quality.
 </li>
 <li>
 Optimise storage and retention for cost-effectiveness.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelors degree in Computer Science, Engineering, or Information Systems.
 </li>
 <li>
 Minimum 5 years professional experience in data engineering or related fields.
 </li>
 <li>
 Proven success designing and implementing enterprise-scale data solutions.
 
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Hands-on expertise with Azure data services Data Factory, Databricks, Synapse Analytics, Data Lake.
 </li>
 <li>
 Proficiency in Python, SQL, Scala, or C#.
 </li>
 <li>
 Experience implementing data-security and access-control mechanisms.
 </li>
 <li>
 Strong knowledge of database-performance optimisation.
 </li>
 <li>
 Proficiency in data-quality and governance frameworks.
 </li>
 <li>
 Understanding of batch and real-time processing architectures.
 
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Documentation excellence: produces clear, thorough, and maintainable documentation.
 </li>
 <li>
 Communication: clear, confident, and adaptable to diverse audiences.
 </li>
 <li>
 Security mindset: embeds data protection into every design decision.
 </li>
 <li>
 Optimisation focus: constantly seeks performance and cost improvements.
 </li>
 <li>
 Maintainability approach: builds systems designed for the long term.
 </li>
 <li>
 Willingness to travel for client implementations and support.
 
 
 
 </li>
 </ul>
 Why Join Us
 
 
 At digital.enterprises, youll help build the data engine that transforms how energy ecosystems operate.
 
 
 Your work will empower people across plants, control rooms, and offices to make decisions in real time supported by data that is secure, trustworthy, and always available.
 
 
 This is your opportunity to contribute to Industry 5.0 in action technology amplifying human capability to deliver safer, cleaner, and more reliable energy for everyone.
</div>

Assurety Consulting & Solutions Pvt. ltd

Assurety Consulting is looking for a skilled Data Engineer to design, develop, and maintain robust data solutions. The ideal candidate will have hands-on experience with SQL Server, SSIS, and Azure Data Factory, along with strong knowledge of ETL processes and data optimization.Key Responsibilities:<ul><li>Develop, optimize, and maintain ETL pipelines and data workflows.</li><li>Work with SQL Server and Azure Data Factory (ADF) for data integration.</li><li>Implement data warehousing, data lake, and data modeling solutions.</li><li>Collaborate with business and analytics teams to ensure reliable data delivery.</li><li>Improve data quality, performance, and scalability.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.</li><li>Minimum 3 years of experience as a Data Engineer.</li><li>Strong expertise in SQL Server, SSIS, and Azure Data Factory (ADF).</li><li>Experience in ETL, Data Warehousing, and performance optimization.</li><li>Excellent analytical and problem-solving skills.</li></ul>Why Join Us:<ul><li>Collaborative and growth-oriented work environment.</li><li>Opportunity to work with cutting-edge data technologies.</li><li>Clear career progression paths and skill-building opportunities.</li></ul>Location: Shahrah - e - Faisal, KarachiJob Type: Full-timeWork Location: In person

Horizon Tech

We are looking for a skilled Data Engineer to design, build, and optimise our modern data platform on the cloud. You'll be responsible for architecting scalable, secure, and automated data pipelines and enabling data-driven applications and AI/ML solutions across the organisation.This is an exciting opportunity to shape the data foundation of a growing business, leveraging a modern AWS and engineering ecosystem.Must Haves:<ul><li>3-5 years of experience in data engineering or a similar role working with large-scale, distributed data systems.</li><li>Strong proficiency in Python, SQL, and data modelling for analytical and transactional systems.</li><li>Deep understanding of modern AWS data and analytics services (e.g., S3, Glue, Lambda, Redshift, or equivalents).</li><li>Experience with Apache Spark / PySpark for batch and stream processing.</li><li>Solid knowledge of data governance, security, and compliance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform, CloudFormation) and CI/CD practices.</li><li>Understanding of AI/ML data workflows, including feature engineering and data preparation for LLMs or predictive models.</li><li>Strong problem-solving, collaboration, and communication skills.</li></ul>Preferred (Nice to Have)<ul><li>Knowledge of containerization (Docker, ECS, EKS) or serverless data architectures.</li><li>Understanding of AI/ML and NLP technologies, including integration of LLMs, automation frameworks, and RPA tools for intelligent data workflows.</li><li>Awareness of MLOps pipelines, model monitoring, and feature store management.</li></ul>Responsibilities:<ul><li>Design, build, and maintain large-scale, distributed, and event-driven data pipelines using modern AWS Data Engineering services (e.g., Glue, Lambda, Step Functions, etc.).</li><li>Develop ETL/ELT workflows integrating structured and unstructured data into Snowflake, Redshift, and S3-based data lakes.</li><li>Architect and optimise data ingestion, transformation, and storage layers for structured and unstructured data in a data lake or warehouse environment.</li><li>Implement and enforce data security, governance, and access controlincluding encryption, IAM, auditing, and compliance with best practices.</li><li>Develop and maintain metadata management, data lineage, and cataloguing frameworks to ensure traceability and consistency across datasets.</li><li>Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.</li><li>Collaborate with analytics and AI/ML teams to deliver clean, high-quality, and feature-ready data for training and inference pipelines.</li><li>Integrate observability and monitoring into data workflows to ensure reliability, performance, and cost efficiency.</li><li>Contribute to CI/CD pipelines and Git-based version control for data workflows and infrastructure changes.</li><li>Mentor junior engineers and champion engineering best practices for data quality, reliability, and scalability.</li></ul>Other Details<ul><li>Work Days: Monday-Friday (3 pm - 12 am)</li><li>Office location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>What is your expected salary?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>data engineering with large-scale data systems: 3 years (Required)</li><li>Python, SQL and modern AWS data and analytics services: 3 years (Required)</li><li>ETL/ELT workflows : 3 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Systems Limited

<div>We are seeking a Senior Data Engineer with strong expertise in Informatica and SQL to design, develop, and optimize data pipelines and ETL workflows. The ideal candidate will have hands-on experience in data integration, data warehousing, and performance tuning across enterprise environments.
<h3 class="jobSectionHeader">
Responsibilities:</h3>
<ul>
<li>Design, build, and maintain ETL workflows using Informatica PowerCenter (or Informatica Cloud).
</li>
<li>Develop and optimize SQL queries, stored procedures, and views for data extraction and transformation.
</li>
<li>Work closely with data modelers, analysts, and business teams to understand data requirements.
</li>
<li>Ensure data quality, integrity, and consistency across multiple systems.
</li>
<li>Perform root cause analysis on data and ETL issues, ensuring timely resolution.
</li>
<li>Support data warehouse development and manage data integration across different sources.
</li>
<li>Monitor and enhance ETL performance, implementing best practices for scalability and reliability.
</li>
<li>Collaborate with infrastructure and DevOps teams for deployment and job scheduling (e.g., Autosys, Control-M).
</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul>
<li>8&ndash;10 years of experience in Data Engineering or related roles.
</li>
<li>Strong hands-on experience with Informatica PowerCenter / IICS.
</li>
<li>Advanced proficiency in SQL (Oracle, SQL Server, or similar).
</li>
<li>Solid understanding of data warehousing concepts (Star/Snowflake schema, fact/dimension modeling).
</li>
<li>Experience with performance tuning of ETL processes and database queries.
</li>
<li>Familiarity with data governance, data quality, and metadata management practices.
</li>
<li>Experience working in cloud-based or hybrid data environments (Azure, AWS, or GCP) is a plus.
</li>
<li>Strong problem-solving skills and ability to work in cross-functional teams.</li></ul></div><div></div>

Principal Data Engineer

DM Clinical Research

<div>The Junior Data Engineer will be responsible for creating, maintaining, and modifying data pipelines for the reporting and system&rsquo;s needs. 
DUTIES &amp; RESPONSIBILITIES 
<ul><li>
Design, build, and orchestrate scalable data workflows and architecture aligned with business goals. Develop and maintain robust batch and real-time data pipelines using modern tools and platforms.</li><li>
Manage structured and unstructured databases with a focus on performance, availability, and optimisation</li><li>
Ensure high standards of data quality, consistency, and accessibility across integrated systems</li><li>
Collaborate with cross-functional teams to gather requirements and translate them into data solutions</li><li>
Implement data governance standards covering security, privacy, and compliance</li><li>
Proactively monitor and troubleshoot system performance, ensuring uptime and reliability of pipelines</li><li>
Transform raw data into clean, well-documented, and report-ready datasets</li><li>
Maintain clear documentation of data processes, workflows, and architecture for knowledge sharing</li><li>
Other duties as assigned by the manager</li></ul> 
KNOWLEDGE &amp; EXPERIENCE 
Education:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field</li></ul> 
Experience:<ul><li>
3+ years of experience working with data-driven solutions, with a focus on transforming healthcare or operational datasets into actionable insights to support process improvement and analytics initiatives.</li><li>
2+ years of experience collaborating with stakeholders to design, build, and deploy scalable data engineering deliverables, including data pipelines, ETL workflows, and integrated data models tailored for analytical needs</li><li>
2+ years of experience creating and maintaining self-service data infrastructure, such as datasets, dashboards, and backend integrations that empower end-users to explore metrics and monitor KPIs through BI tools</li></ul> 
Credentials:<ul><li>
Industry certifications in data engineering or cloud platforms/frameworks.</li></ul> 
Knowledge and Skills:<ul><li>
Data architecture design and data modeling (relational &amp; dimensional), Development of batch and real-time data pipelines using ETL/ELT tools</li><li>
Strong proficiency in SQL, Python, and optionally Scala/Java</li><li>
Hands-on experience with cloud platforms: AWS, Azure, GCP</li><li>
Advanced database management with SQL Server, PostgreSQL, MongoDB, etc.</li><li>
Experience with big data technologies like Spark, Hadoop, and Kafka</li><li>
Data quality assurance, profiling, cleansing, and governance practices</li><li>
Use of orchestration and workflow tools such as Apache Airflow, DBT, and Talend</li><li>
Expertise in Microsoft Excel (pivot tables, macros, Google scripts)</li><li>
Familiar with documentation and design tools: Microsoft Word, PowerPoint, Visio, G Suite</li><li>
Skilled in handling and optimizing large-scale datasets and infrastructure</li></ul></div>

Junior Data Engineer

Confiz

<div>This role requires a professional with a deep background in data engineering and expertise in designing and implementing cloud-based data warehousing solutions using Azure Synapse. The ideal candidate will be a strategic thinker with a proven record of accomplishment of delivering scalable and efficient data solutions to meet complex business requirements.
Responsibilities:
<ul><li>Design and implement highly scalable, high performance data warehousing solutions in Azure Synapse.</li>
<li>Analyze and migrate existing data systems to Azure Cloud, optimizing data flow and collection to improve data accuracy and utility.</li>
<li>Contribute to data architecture design and modeling initiatives, ensuring alignment with business needs and compliance with data governance standards.</li>
<li>Consult with stakeholders to define data requirements, deliverables, and timelines, providing technical leadership and guidance throughout project lifecycles.</li>
<li>Implement data security and privacy policies in line with industry best practices and organizational standards.</li>
<li>Optimize data integration pipelines for performance and scalability.</li>
<li>Develop and maintain documentation regarding data architectures, procedures, and solutions.</li>
</ul>
Qualifications
<ul><li>Bachelor&rsquo;s or master's degree in computer science, Engineering, Information Technology, or a related field.</li>
<li>5+ years of experience in data engineering with a strong focus on cloud-based solutions.</li>
<li>Expertise in Azure Synapse Analytics, including data integration, management, and security.</li>
<li>Proficient with SQL, Python, PySpark, and other scripting languages commonly used in data engineering.</li>
<li>Familiar with Azure IaC (Infrastructure as Code) and CI/CD automation using ARM, Bicep or Terraform</li>
<li>Deep knowledge of ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes and experience with Azure Data Factory.</li>
<li>Strong understanding of data modeling (Data Vault 2.0 experience or certification preferred), data warehousing, and data lakes.</li>
<li>Proven consulting or advisory roles in the design and deployment of large-scale data solutions in Azure environments.</li>
<li>Experience working directly with clients or stakeholders in a consulting capacity, translating business needs into technical specifications and actionable plans.</li>
<li>Demonstrated ability to contribute to project leadership, coordinate across client functional groups, and manage client relationships.</li>
<li>Microsoft Certified: Azure Data Engineer Associate preferrable</li>
<li>Microsoft Certified: Azure Solutions Architect Expert preferrable</li>
<li>Certified Data Vault 2.0 Practitioner (CDVP2) preferrable</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>

Azure Data Engineer - Pyspark

Explore 1141+ Data engineer in Karachi Pakistan this November. Find roles across top companies and apply now to boost your career.

1141 data engineer jobs IN Karachi Pakistan

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Principal Data Engineer

Junior Data Engineer

Azure Data Engineer - Pyspark