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assistant engineer (data centre)

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KEMAT CONSULTING

Position Title: Data Engineer Architect Department: Data &amp; Technology Employment Type: Full-Time Location: On-site &mdash; Blue Area, IslamabadTime: 9am-5pm (Uk-Time)Position OverviewThe Data Engineer Architect is responsible for designing robust, scalable, and efficient data architectures and pipelines to support enterprise-wide analytics, reporting, and machine learning initiatives. This role ensures seamless ingestion, transformation, governance, and availability of data across cloud environments. The architect will drive technical direction, security, and quality across all data systems while supporting migration from legacy infrastructures to modern cloud-based platforms.Key Responsibilities1. Data Architecture &amp; Design<ul><li>Design scalable, secure, and future-ready enterprise data architectures.</li><li>Build strong and flexible data models, ingestion frameworks, and transformation layers.</li><li>Define schemas for various data types (transactional, structured, unstructured, CRM, web analytics).</li><li>Create data environments that support both experimental (&ldquo;Lab&rdquo;) and production (&ldquo;Factory&rdquo;) analytics.</li><li>Build structures enabling predictive, prescriptive analytics and ML/AI model training.</li><li>Ensure architecture supports BI/reporting tools such as PowerBI.</li></ul>2. Data Engineering &amp; Pipeline Development<ul><li>Design and implement robust ETL/ELT data pipelines for diverse internal and external data sources.</li><li>Develop high-performance batch and real-time data processing pipelines using Spark, Kafka, Databricks, or similar tools.</li><li>Optimize pipelines for performance, efficiency, and cost-effectiveness.</li><li>Support ingestion and migration of legacy data into Snowflake or other cloud warehouses.</li></ul>3. Cloud &amp; Infrastructure<ul><li>Architect cloud-based data engineering, BI, and data science solutions on Azure, AWS, or GCP.</li><li>Build and maintain modern cloud data lakes and transformed data layers.</li><li>Work with engineering teams to design complex cloud-based environments.</li><li>Implement CI/CD pipelines and automation for data workflows.</li><li>Lead migration of legacy physical infrastructures into cloud platforms.</li></ul>4. Security, Governance &amp; Monitoring<ul><li>Apply &ldquo;quality by design&rdquo; and &ldquo;security by design&rdquo; principles in all architectures.</li><li>Ensure compliance with GDPR and company data governance frameworks.</li><li>Implement data validation, monitoring, alerting, and telemetry systems (e.g., Sifflet).</li><li>Maintain metadata, data lineage, documentation, and governance structures.</li><li>Partner with governance teams to embed real-time alerting and monitoring.</li></ul>5. Collaboration &amp; Leadership<ul><li>Work closely with the Head of Data Engineering &amp; Data Platform to align with enterprise strategy.</li><li>Collaborate with product managers, data scientists, and analytics teams to translate business needs into actionable data solutions.</li><li>Provide technical guidance, direction, and support to engineers and project teams.</li><li>Communicate architectural decisions and technical recommendations clearly to stakeholders.</li></ul>Required QualificationsEducation<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li></ul>Experience<ul><li>5+ years of experience in Data Engineering or Data Architecture.</li><li>Proven experience architecting cloud-based data engineering, BI, and/or data science solutions.</li><li>Experience migrating legacy data solutions into the cloud (refactoring, modernization).</li><li>Strong experience with database technologies, data modeling, and schema design.</li><li>Experience building data structures that support first- and third-party data analysis under GDPR guidelines.</li></ul>Technical Skills<ul><li>Very strong SQL skills.</li><li>Proficiency in Python and advanced data modeling.</li><li>Experience with Snowflake, Azure Synapse, BigQuery, or Redshift.</li><li>Hands-on experience with ETL/ELT tools (Azure Data Factory, dbt, Informatica, Talend).</li><li>Familiarity with Spark, Kafka, Databricks, Hadoop ecosystem.</li><li>Experience with Docker, Kubernetes, Git, DevOps, and CI/CD workflows.</li><li>Strong understanding of data warehousing methodologies (Kimball/Inmon).</li><li>Knowledge of telemetry, monitoring, and alerting tools.</li></ul>Preferred Skills<ul><li>Professional certifications (Azure Data Engineer, AWS Big Data, Google Data Engineer).</li><li>Experience supporting AI/ML teams with high-quality training datasets.</li><li>Experience with MLOps or ML pipeline automation.</li><li>Strong analytical, architectural, and communication abilities.</li></ul>Soft Skills<ul><li>Excellent communication and documentation skills.</li><li>Strong problem-solving and critical thinking abilities.</li><li>Leadership mindset with the ability to mentor junior engineers.</li><li>Detail-oriented with focus on data quality, accuracy, and governance.</li></ul>What We Offer<ul><li>Competitive salary and comprehensive benefits package.</li><li>On-site working environment in Blue Area, Islamabad.</li><li>Exposure to modern technology stacks and architectural frameworks.</li><li>Opportunities for continuous learning, certifications, and career growth.</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthWork Location: In person

Data Engineer Architect

Cloudelligent

<div>Position Title: AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Islamabad 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
OJyT29uvzu</div>

AWS Data Engineer

NorthBay Solutions

<div><h3 class="jobSectionHeader">Position: Senior Data Engineer (Migration / NoSQL / SQL)</h3>
Location: Lahore / Islamabad / Karachi (Hybrid) 
Experience: Up to 3 Years of Relevant Experience 
Salary: Up to PKR 350,000 
Company: NorthBay Solutions 
 
About the Role:
NorthBay is looking for a Senior Data Engineer with a strong passion for database management, data engineering, and migration projects. The ideal candidate will have a solid understanding of database systems, data migration frameworks, and AWS cloud data services. This role involves working on complex migration projects across PostgreSQL, MongoDB, DocumentDB, MySQL, and Oracle databases using AWS Database Migration Services (AWS DMS) and other modern data tools. 
 
Key Responsibilities:<ul><li>
Support and execute database migration initiatives across multiple database platforms and AWS environments.</li><li>
Collaborate with technical leads to ensure successful, secure, and validated database migrations.</li><li>
Develop and maintain data validation plans, migration scripts, and testing frameworks.</li><li>
Work closely with application teams to ensure business continuity, performance, and SLAs are maintained during migration.</li><li>
Perform database performance tuning, monitoring, and troubleshooting to ensure reliability and scalability.</li><li>
Contribute to database design, replication, clustering, backup/recovery, and CDC (Change Data Capture) strategies.</li><li>
Demonstrate strong understanding of OLTP and OLAP workloads and migration best practices</li></ul>
Requirements:<ul><li>
Up to 3 years of relevant experience in database deployment, management, or migration.</li><li>
Hands-on experience with PostgreSQL, MongoDB, DocumentDB, MySQL, or Oracle.</li><li>
Experience using AWS Database Migration Services (AWS DMS) for data migration projects.</li><li>
Knowledge of NoSQL databases and DocumentDB is a plus.</li><li>
Understanding of ETL/ELT pipelines, data engineering, and data flow orchestration.</li><li>
Familiarity with backup/recovery, replication, and clustering concepts.</li><li>
Strong analytical, problem-solving, and communication skills.</li></ul><h3 class="jobSectionHeader">
What We Offer:</h3><ul><li>
Competitive salary (up to PKR 350K)</li><li>
Fuel expense reimbursement</li><li>
Paid holidays and vacation</li><li>
Medical outpatient reimbursement &amp; health insurance</li><li>
Opportunity to work in a highly collaborative, AWS-focused environment on impactful migration projects</li></ul>
SLNMRGPkeM</div>

Senior Data Engineer (Migration / NoSQL / SQL)

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
 
 
 
 Type: Remote Full-time
 
 
 
 Senior Data Engineer
 
 
 Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake?
 
 
 We are building a dynamic pipeline of pre-qualified talent to fill critical data engineering roles as our business continues to scale.
 
 
 By providing your information, you are included in our priority pipeline of highly qualified candidates across various specialized Data Engineering opportunities within Fusemachines. This curated list ensures you will be among the very first to receive consideration for future full-time opportunities, giving you a significant advantage and leading to a much shorter evaluation and interview process when a critical role opens.
 
 
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 Powered by JazzHR
 
 
 MgfZrPiZzF
</div>

Senior Data Engineer

Confiz

<div>
 We are seeking a 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>
 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>

Senior/Principal Data Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; AI Engineer (Islamabad Candidates Only)</h1>
Job Title: AI Engineer 
Job Grade: Manager 
Division: Information Technology 
Department: IT Development 
Location: Islamabad (On-site) 
Line Manager: Senior Software Engineer / AI Engineering Lead 
 
Note : Please read the JD carefully before Applying<h2 class="jobSectionHeader"> 
Position Summary</h2>
The AI Engineer will be responsible for designing, developing, and deploying AI-powered applications and intelligent systems that integrate seamlessly with Android, iOS, and web platforms. This role focuses on applied machine learning, automation, and data-driven enhancements to elevate customer experience and operational efficiency. The ideal candidate will possess strong proficiency in mobile development, backend engineering with Python, and web technologies, with the ability to build, test, and scale AI-driven solutions.<h2 class="jobSectionHeader"> 
Duties and Responsibilities</h2><ul><li>
Design, develop, and maintain AI-driven functionalities for mobile (Android/iOS) and web platforms.</li><li>
Collaborate with mobile, backend, UX/UI, product, and data teams to integrate AI modules such as recommendation engines, chatbots, fraud detection, and personalization systems.</li><li>
Develop machine learning models, perform data preprocessing, and deploy models using Python frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Write modular, maintainable, and scalable code using industry best practices (SOLID, Clean Architecture).</li><li>
Build APIs and microservices for AI features using Flask/FastAPI or Node.js.</li><li>
Work closely with UX/UI and product counterparts to translate data insights into intelligent user experiences.</li><li>
Conduct A/B tests, performance optimization, and real-world validation of AI models.</li><li>
Integrate AI components with cloud platforms such as AWS, GCP, or Azure, ensuring compliance with security and governance standards.</li><li>
Participate actively in code reviews, knowledge-sharing sessions, and agile ceremonies.</li><li>
Stay updated with emerging AI, ML, and GenAI tools, recommending innovative solutions for Easypaisa&rsquo;s digital products.</li><li>
Demonstrate Behaviors&mdash;Be Respectful, Keep Promises, Always Explore, Create Together&mdash;across all work activities.</li></ul><h2 class="jobSectionHeader"> 
Knowledge and Experience</h2><h3 class="jobSectionHeader">
Education:</h3><ul><li>
BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul><h3 class="jobSectionHeader">
Experience:</h3><ul><li>
Minimum 4+ years in software development with hands-on exposure to AI/ML projects.</li><li>
Proven experience with Android/iOS development, Python, and modern web technologies</li></ul><h2 class="jobSectionHeader"> 
Behavioral Skills:</h2><ul><li>
Effective Communication</li><li>
Teamwork &amp; Collaboration</li><li>
Decision Making</li><li>
Accountability</li><li>
Learning Agility</li><li>
Analytical Problem Solving</li><li>
Innovation &amp; Creativity</li></ul><h2 class="jobSectionHeader"> 
Technical Competencies:</h2><ul><li>
AI/ML Development: Flowise, PyTorch, OpenAI APIs, N8N</li><li>
Programming: Python, Swift, Kotlin, JavaScript/TypeScript</li><li>
Cloud &amp; DevOps: AWS/GCP, Docker, CI/CD</li><li>
Version Control: Git</li><li>
Data Engineering: Pandas, NumPy, SQL, data pipeline development</li><li>
Mobile &amp; Web Development: Android Studio, Xcode, React/Next.js, Flutter (optional)</li><li>
Backend &amp; APIs: REST, GraphQL, Flask/FastAPI, Node.js</li><li>
Security &amp; Compliance: Secure coding, data privacy frameworks</li></ul>
DXqq0rtumm</div>

AI Engineer

<div>Position Title: Sr. Data Migration Engineer 
Job Timings: 8am-5pm CST 
Location: Islamabad 
 
About Cloudelligent 
Cloudelligent is a Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB &amp; enterprise segment. Being a next gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer- obsessed. 
 
Job Objective 
We&rsquo;re looking for a Senior Data Migration Engineer to drive the data conversion work that powers successful LegalTech SaaS implementations. As firms move from legacy tools to modern platforms, your work ensures that their financial, operational, and practice data is clean, accurate, and ready for day-one use. You&rsquo;ll lead the full ETL lifecycle analyzing legacy structures, mapping data to modern schemas, running test conversions, validating results, and supporting a seamless go-live experience. 
 
Responsibilities<ul><li>
Analyze legacy financial and practice-management data structures and design end-to-end conversion strategies.</li><li>
Collaborate with project managers and implementation consultants to understand mapping requirements and business rules.</li><li>
Translate functional requirements into clear, scalable technical migration plans.</li><li>
Extract data from SQL databases, CSV exports, APIs, and other legacy sources.</li><li>
Write and optimize complex SQL queries (joins, CTEs, validation queries, reconciliation logic).</li><li>
Develop Python scripts or reusable ETL tools to automate recurring processes and improve consistency.</li><li>
Build and maintain detailed data-mapping documentation across all migration objects.</li><li>
Perform dry-run migrations and validate data accuracy across financial and operational modules.</li><li>
Execute final production loads and deliver reconciliation reports for billing, WIP, AR, GL, and related datasets.</li><li>
Investigate and resolve anomalies, data gaps, or logic errors across multiple data sources.</li><li>
Create detailed technical documentation, mapping dictionaries, transformation logic, and conversion specifications.</li><li>
Serve as a primary technical partner to project managers, implementation consultants, and client IT teams.</li><li>
Clearly communicate data issues, risks, and recommendations in both technical and non-technical terms.</li><li>
Help build and enhance migration templates, automation scripts, and best-practice playbooks.</li><li>
Identify opportunities to streamline processes, reduce manual work, and strengthen data quality.</li></ul>
Requirements<ul><li>
4+ years in data migration, ETL engineering, data conversion, or ERP/SaaS system integration.</li><li>
Advanced SQL skills (joins, CTEs, schema work, validation logic, troubleshooting, performance tuning).</li><li>
Strong Excel/Power Query skills and Python experience (Pandas/NumPy a plus).</li><li>
Experience with structured and semi-structured file formats (CSV, JSON, XML).</li><li>
Demonstrated ability to analyze complex datasets, identify patterns, and resolve data-quality issues.</li><li>
Experience executing multi-object migration cycles (dry runs, reconciliations, cutovers).</li><li>
Strong documentation habits and the ability to produce clear technical specifications.</li><li>
Excellent communication skills and comfort working cross-functionally with non-technical stakeholders.</li><li>
Experience in legal-tech, professional services, or financial systems is a plus.</li></ul>
ZWdL9vNtL9</div>

Sr. Data Migration Engineer (C4-1125150)

Explore 643+ Cloud data engineer in Islamabad this December. Find roles across top companies and apply now to boost your career.