data engineer

senior data engineer

aws ai/ml practice lead

data analyst

data scientist

cloud data engineer

ByteCrew

<div>
 
 Role Summary
 
 
 
 About the job Data Engineer
 
 
 We are seeking a Data Engineer to design, build, and operate data pipelines and warehouses powering
 
 
 enterprise analytics and reporting. The role covers ingestion, transformation, modelling, and operationalisation
 
 
 across cloud and on-prem data sources.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement batch + streaming data pipelines (ETL/ELT).
 </li>
 <li>
 Build and maintain dimensional/data-warehouse models (Star/Snowflake schema, slowly-changing
 
 
 </li>
 </ul>
 dimensions).
 
 
 <ul>
 <li>
 Develop in SQL, Python, and at least one orchestrator (Airflow, Azure Data Factory, AWS Glue).
 </li>
 <li>
 Operate data quality checks, lineage, and observability (Great Expectations, Monte Carlo, or similar).
 </li>
 <li>
 Optimise warehouse performance (Snowflake, Synapse, BigQuery, Redshift).
 </li>
 <li>
 Partner with BI/analytics teams on semantic models and self-service consumption.
 </li>
 <li>
 Document pipelines, schemas, and runbooks.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, Engineering, Statistics, or equivalent.
 </li>
 <li>
 4+ years building production data pipelines.
 </li>
 <li>
 Strong SQL (window functions, CTEs, query tuning) and Python.
 </li>
 <li>
 Hands-on with at least one major DW/Lakehouse: Snowflake, BigQuery, Synapse, Redshift, Databricks.
 </li>
 <li>
 Experience with at least one orchestrator: Airflow, ADF, Glue, dbt + scheduler.
 </li>
 <li>
 Familiarity with cloud object storage (S3, ADLS, GCS) and file formats (Parquet, ORC, Avro).
 </li>
 <li>
 Professional English &mdash; mandatory.
 
 
 </li>
 </ul>
 
 Preferred / Nice To Have
 
 
 
 <ul>
 <li>
 Working knowledge of Arabic is a plus.
 </li>
 <li>
 Streaming experience: Kafka, Kinesis, Event Hubs, Spark Structured Streaming.
 </li>
 <li>
 dbt Analytics Engineer or cloud data engineer certifications.
 </li>
 <li>
 Exposure to data governance/cataloguing (Purview, Unity Catalog, Collibra).
 </li>
 </ul>
</div>

Data Engineer
Lahore, Pakistan

HR Konnect Consultants

About SoftarixSoftarix is a leader in amplifying organizations&rsquo; cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, Softarix has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.Softarix is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, Softarix provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.Job SummaryWe are looking for a savvy Machine Learning/Data Engineer to join our growing team of data experts. The hire will be primarily responsible for AI/ML projects on AWS, leveraging native services as well as custom-built models to deliver predictive insights to our customers. In addition, this hire will also support migrating to the cloud, optimizing our customers&rsquo; databases and data flows, and enriching our operational and functional data flow with AI/ML algorithms.The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools. The candidate enjoys optimizing data systems and building them from the ground up. The Machine Learning Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers&rsquo; data architecture to support our next generation of products and data initiatives, and machine learning systems.ResponsibilitiesKeep our customers&rsquo; data separated and secure to meet compliance and regulations requirements.Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud (mainly AWS) migration and &lsquo;big data&rsquo; technologies.Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems.Design, Build and Operate large, complex data lakes that meet functional / non-functional business requirements.Optimize various data types ingestion, storage, processing, and retrieval from near real-time events and IoT to unstructured data as images, audio, video and documents, and in between.Use Jupyter Notebooks to build and deploy ML models.Leverage AWS AI/ML pre built solutions to accelerate work for customersWork with customers and internal stakeholders, including the Executive, Product, Data, Software Development, and Design teams, to assist with data-related technical issues and support their data infrastructure and business needs.RequirementsSummary of Key RequirementsWe seek a candidate with 3+ years of experience in a Data Scientist/Machine Learning Engineer role who has attained a Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:Experience with big data tools: Spark, ElasticSearch, Hadoop, Kafka, Kinesis etc.Experience with relational SQL and NoSQL databases, such as MySQL or Postgres and DynamoDB or Cassandra.Experience with AWS cloud services: EC2, RDS, EMR, Redshift etc.Experience with functional and scripting languages: Python, Java, Scala, etc.Experience with various ML models for classification, scoring and more.Experience with Deep Learning Neural Networks (Convolution, NLP etc.)Experience with AWS AI/ML ServicesExperience with Python codingAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.Experience supporting and working with external customers in a dynamic environment.Excellent Communication Skills are Required.Job Type: Full-timeWork Location: In person

Machine Learning/ DataEnineer ( AIML )

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer</h2>
Location: Remote 
Experience: 7 - 10 Years 
 
Only CV's which are as per JD will be shortlisted<h3 class="jobSectionHeader">
Role Purpose</h3>
We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms leveraging the Microsoft Fabric and Azure ecosystem. This role is critical in enabling data-driven decision-making by building efficient, reliable, and high-performance data solutions that support analytics, reporting, and advanced data use cases across the organization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><h4 class="jobSectionHeader">
Data Engineering &amp; Development</h4><ul><li>
Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric</li><li>
Develop and optimize data workflows using PySpark and SQL</li><li>
Implement and manage Lakehouse architecture using the Medallion (Bronze, Silver, Gold) layers</li><li>
Work with Azure Data Lake Storage (ADLS) and Delta Lake for scalable data storage and processing</li><li>
Integrate data from multiple sources while ensuring data quality, consistency, and reliability</li></ul><h4 class="jobSectionHeader">
Collaboration &amp; Enablement</h4><ul><li>
Partner with BI developers and analysts to enable data models and reporting solutions</li><li>
Collaborate with cross-functional stakeholders to translate business requirements into technical solutions</li></ul><h4 class="jobSectionHeader">
Performance &amp; Reliability</h4><ul><li>
Monitor, troubleshoot, and optimize data pipelines and system performance</li><li>
Ensure high availability and scalability of data platforms</li></ul><h4 class="jobSectionHeader">
Governance &amp; Compliance</h4><ul><li>
Implement and enforce data governance, security, and compliance best practices</li><li>
Ensure proper data lineage, cataloging, and documentation</li></ul><h3 class="jobSectionHeader">
Additional Responsibilities (Senior Level)</h3><ul><li>
Lead the design and architecture of scalable data platforms and solutions</li><li>
Define and enforce data engineering standards, frameworks, and best practices</li><li>
Mentor junior data engineers and conduct code reviews to ensure quality and performance</li><li>
Optimize large-scale data processing and improve system efficiency and cost optimization</li><li>
Drive adoption of Microsoft Fabric and modern data engineering practices across teams</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
5+ years of experience in Data Engineering</li><li>
Strong hands-on experience with:<ul><li>
Azure Data Factory (ADF)</li><li>
Microsoft Fabric</li><li>
PySpark and SQL</li><li>
Azure Data Lake Storage (ADLS)</li><li>
Delta Lake</li></ul></li><li>
Solid understanding of data modeling, ETL/ELT concepts, and Lakehouse architecture</li><li>
Experience with Medallion architecture (Bronze, Silver, Gold layers)</li><li>
Strong problem-solving and performance optimization skills</li><li>
Experience working in cloud-based data platforms (Azure preferred)</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with Power BI or other BI tools</li><li>
Familiarity with data governance and security frameworks</li><li>
Exposure to CI/CD pipelines for data engineering workflows</li><li>
Experience working in Agile/Scrum environments</li></ul>
uj3kMcRSfR</div>

Senior Data Engineer

Dubizzle Labs

<div>
 You will be participating in exciting projects covering the end-to-end data lifecycle &ndash; from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.
 
 
 You will have the opportunity to learn how to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense, and interesting co-workers. You will liaise with other departments &ndash; such as product &amp; tech, the core business verticals, trust &amp; safety, finance, and others &ndash; to enable them to be successful.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement and support data warehousing;
 </li>
 <li>
 Raw data integrations with primary and third-party systems
 </li>
 <li>
 Data warehouse modeling for operational &amp; application data layers
 </li>
 <li>
 Development in Amazon Redshift cluster
 </li>
 <li>
 SQL development as part of agile team workflow
 </li>
 <li>
 ETL design and implementation in Matillion ETL
 </li>
 <li>
 Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
 </li>
 <li>
 Design and implementation of data products enabling data-driven features or business solutions
 </li>
 <li>
 Building data dashboards and advanced visualizations in Sisense for data cloud teams (formerly Periscope Data) with a focus on UX, simplicity, and usability
 </li>
 <li>
 Working with other departments on data products &ndash; i.e. product &amp; technology, marketing &amp; growth, finance, core business, advertising, and others
 </li>
 <li>
 Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
 </li>
 <li>
 Evaluate and improve data quality by implementing test cases, alerts, and data quality safeguards
 </li>
 <li>
 Living the team values: Simpler. Better. Faster.
 </li>
 <li>
 Strong desire to learn
 
 
 
 </li>
 </ul>
 
 Required Minimum Experience (must)
 
 
 
 <ul>
 <li>
 1-3 years experience in data processing, analysis, and problem-solving with large amounts of data;
 </li>
 <li>
 Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
 </li>
 <li>
 1+ year of experience with one or more programming languages, especially Python
 </li>
 <li>
 Ability to communicate insights and findings to a non-technical audience
 </li>
 <li>
 Written and verbal proficiency in English
 </li>
 <li>
 Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
 </li>
 <li>
 Top of class University technical degree such as computer science, engineering, math, physics.
 
 
 
 </li>
 </ul>
 
 Additional Experience (strong Plus)
 
 
 
 <ul>
 <li>
 Experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
 </li>
 <li>
 Experience with modern big data ETL tools (e.g. Matillion)
 </li>
 <li>
 Experience with AWS data ecosystem (or other cloud providers)
 </li>
 <li>
 Track record in business intelligence solutions, building and scaling data warehouses, and data modeling
 </li>
 <li>
 Tagging, Tracking, and reporting with Google Analytics 360
 </li>
 <li>
 Knowledge of modern real-time data pipelines (e.g. serverless framework, lambda, kinesis, etc.)
 </li>
 <li>
 Experience with modern data visualization platforms such as Periscope, Looker, Tableau, Google Data Studio, etc.
 </li>
 <li>
 Linux, bash scripting, Javascript, HTML, XML
 </li>
 <li>
 Docker Containers and Kubernete
 
 
 
 </li>
 </ul>
</div>

Data Engineer

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer (AWS)</h2>
Experience: 6&ndash;8 Years 
Location: Remote 
Industry: Retail / Data &amp; Analytics<h3 class="jobSectionHeader"> 
Job Summary</h3>
We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable data pipelines using AWS services.</li><li>
Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).</li><li>
Manage and configure data workflows and orchestration within the Orion framework.</li><li>
Develop and maintain configuration files and ensure seamless integration across systems.</li><li>
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.</li><li>
Optimize data processing performance and ensure data quality and reliability.</li><li>
Work on data modeling, transformation, and warehousing solutions.</li><li>
Implement best practices for data governance, security, and compliance.</li><li>
Troubleshoot and resolve data-related issues across pipelines and infrastructure.</li><li>
Contribute to continuous improvement and innovation in data engineering practices.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Expertise</h3><ul><li>
Strong experience with AWS ecosystem, including:<ul><li>
AWS Glue</li><li>
Amazon S3</li><li>
AWS Lambda</li><li>
Amazon Redshift / RDS</li></ul></li><li>
Hands-on expertise in DBT (Data Build Tool) for data transformation.</li><li>
Solid understanding of data pipeline architecture and ETL/ELT processes.</li><li>
Experience working with Orion framework and handling configuration-driven workflows.</li><li>
Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).</li><li>
Proficiency in SQL and Python for data processing.</li><li>
Experience with version control systems (Git).</li><li>
Familiarity with CI/CD pipelines for data workflows.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in retail or supply chain data environments.</li><li>
Exposure to real-time data processing and streaming frameworks.</li><li>
Knowledge of data lake and lakehouse architectures.</li><li>
AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Strong analytical and problem-solving skills</li><li>
Innovative mindset with a focus on continuous improvement</li><li>
Ability to work in high-performance, collaborative teams</li><li>
Excellent communication and stakeholder management skills</li><li>
Ownership and accountability for deliverables</li></ul>
soIkqs9cJc</div>

Senior Data Engineer (AWS)

Cloudelligent

<div>Cloudelligent is looking for competent candidates for the position of Service Desk Engineer (L1) 
 
Position Title: Service Desk Engineer 
Location: Lahore 
 
About Cloudelligent 
 
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions. 
 
Responsibilities<ul><li>
Perform Level 1 diagnosis and resolution of incidents / requests raised by end users.</li><li>
Responsible for supporting the IT Help Desk Services organization to ensure services are delivered to meet customer business needs and expectations, within SLA standards</li><li>
Act as a contact point between Helpdesk Operations and Other external and internal teams.</li><li>
Escalate issues to relevant teams based on SOP &amp; Escalation matrix</li><li>
Provide Incident Response (IR) support when analysis confirms actionable incident</li><li>
Perform incident closure, verifying problem resolution with Users and documenting resolution procedures</li><li>
Monitor and escalate service failure alerts and follow up with relevant teams to fix these with minimal impact.</li><li>
IT Support relating to technical issues involving Microsoft/AWS core business applications and operating systems</li><li>
Troubleshoot software, hardware, and network issues.</li><li>
Guide end-users on how to setup and use new technologies.</li><li>
Perform vendor management for procurement and support (Cloudelligent/Clients).</li><li>
Assist Cloud team with migration and supporting infrastructure on Azure/AWS.</li><li>
Backup and restore the organization's data files and systems.</li><li>
Install, configure, and upgrade PC software and operating systems.</li><li>
Manage inventory and track IT assets used by the organization.</li><li>
Author, edit, and manage IT documentation to improve our clients' IT policy, procedures, and protocols.</li><li>
Manage the helpdesk collaboratively for optimal performance and support by resolving incidents in a timely manner.</li><li>
Prepare and present weekly updates.</li><li>
Participate in IT projects.</li></ul>
Requirements<ul><li>
Bachelor's degree in information technology, computer science or related field.</li><li>
2+ years of experience providing customer-focused technical support.</li><li>
Exceptional verbal, written, and interpersonal communication skills.</li><li>
Hands on experience with service desk ticketing systems, email, online chat, service support process, and SLA.</li><li>
Strong interest in IT support, technical troubleshooting, and cloud technologies.</li><li>
Basic understanding of IT methodologies and service desk operations.</li><li>
Hands-on experience with Windows operating systems and Microsoft Office tools (e.g., Office 365). Knowledge of ticketing tools (e.g., Zendesk, Jira) is a plus.</li><li>
Knowledge of cloud platforms (AWS or Azure) is a plus.</li><li>
Should be able to work in 24/7 environments.</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li><li>
AWS Cloud Practitioner certification is highly preferred.</li></ul>
JBTLuj7U3D</div>

Service Desk Engineer

AlphaBOLD

<div><div>Lahore, Pakistan (On-site/Hybrid)
</div><div>Posted: April 14, 2026</div></div>
 <div><h2 class="jobSectionHeader">Job Summary</h2>

Alphabold is looking for a skilled Data Engineer with 3&ndash;5 years of experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in data processing, database systems, and cloud platforms, enabling efficient data flow and analytics across the organization.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines</li>
<li>Build and optimize data architectures, data lakes, and data warehouses</li>
<li>Ensure data quality, integrity, and reliability across systems</li>
<li>Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions</li>
<li>Develop and manage batch and real-time data processing systems</li>
<li>Monitor and troubleshoot data pipeline performance and failures</li>
<li>Implement data governance, security, and compliance best practices</li>
<li>Automate workflows and improve data engineering processes</li>
</ul><h3 class="jobSectionHeader">Required Skills &amp; Qualifications</h3>
<ul><li>3&ndash;5 years of experience in data engineering or related roles</li>
<li>Strong proficiency in SQL and Python (or Scala/Java)</li>
<li>Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)</li>
<li>Experience with big data technologies such as Apache Spark, Hadoop, or Kafka</li>
<li>Solid understanding of data warehousing concepts and modeling (Star/Snowflake schema)</li>
<li>Experience with cloud platforms like AWS, Azure, or Google Cloud</li>
<li>Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)</li>
<li>Experience with version control systems (e.g., Git)</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience with containerization tools like Docker and orchestration tools like Kubernetes</li>
<li>Knowledge of CI/CD pipelines and DevOps practices</li>
<li>Familiarity with data visualization tools (e.g., Power BI, Tableau)</li>
<li>Understanding of streaming data systems and real-time analytics</li>
</ul><h3 class="jobSectionHeader">Soft Skills</h3>
<ul><li>Strong problem-solving and analytical skills</li>
<li>Good communication and collaboration abilities</li>
<li>Ability to work in a fast-paced, agile environment</li>
<li>Attention to detail and commitment to data accuracy</li>
</ul><h3 class="jobSectionHeader">Education</h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

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882 cloud data engineer jobs In Lahore

Data Engineer Lahore, Pakistan

Machine Learning/ DataEnineer ( AIML )

Senior Data Engineer

Data Engineer

Senior Data Engineer (AWS)

Service Desk Engineer

Data Engineer