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azure data 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

RGH Global

Role: Azure Data EngineerLocation: Karachi Work Arrangement: On-site Employment Type: Full-timeOverviewWe are seeking a highly experienced Azure Data Engineer with 6+ years of hands-on experience in Azure and Databricks architecture, migration, and development. This role requires strong ownership, clear communication, and the ability to overlap up to 6 hours with US CST.Key Responsibilities<ul><li>Design, develop, and implement advanced analytics solutions using Azure and 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 performance of Azure and Databricks solutions</li><li>Monitor and manage Databricks environments for reliability</li><li>Lead architecture and development of complex data integration projects</li><li>Conduct code reviews and enforce best practices</li><li>Own and self-manage tasks to ensure timely, high-quality delivery</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 experience with Azure and Databricks</li><li>Strong experience with data pipelines, data architecture, and ETL</li><li>Proficiency in Python, Scala, or Java</li><li>Hands-on experience with Spark, Hadoop, or similar tools</li><li>Strong SQL and relational database knowledge</li><li>Experience with cloud infrastructure monitoring</li><li>Excellent problem-solving and communication skills</li><li>Ability to work with US CST (up to 6 hours overlap)</li></ul>Preferred<ul><li>Azure and/or Databricks certification</li></ul>Technical Skills<ul><li>Azure Data Factory (ADF)</li><li>Databricks</li><li>Azure Synapse Analytics</li><li>SQL &amp; NoSQL databases</li><li>ETL &amp; data warehousing</li><li>Python / Scala</li><li>Power BI or similar visualization tools</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you based in Karachi and willing to work from office</li><li>Kindly quote your monthly salary expectations</li></ul>Experience:<ul><li>data engineering: 5 years (Required)</li></ul>Work Location: In person

Systems Limited

<div>We are seeking an Azure AI Cloud Engineer to design, deploy, and manage AI/ML solutions on Microsoft Azure. This role focuses on building scalable, secure, and production-ready AI systems using Azure AI services, cloud infrastructure, and automation best practices.<h3 class="jobSectionHeader"> 
</h3>
<h3 class="jobSectionHeader">Responsibilities:</h3> 

<ul>
<li>Design and deploy AI/ML solutions on Azure using cloud-native services
</li>
<li>Work with Azure AI Services (Azure OpenAI, Cognitive Services, Azure Machine Learning)
</li>
<li>Build, train, deploy, and monitor ML models in production
</li>
<li>Implement data pipelines for AI workloads using Azure Data services
</li>
<li>Integrate AI services into applications using REST APIs and SDKs
</li>
<li>Automate deployments using Azure DevOps, CI/CD pipelines, and IaC
</li>
<li>Ensure security, scalability, and cost optimization of AI workloads
</li>
<li>Monitor model performance, drift, and system reliability
</li>
<li>Collaborate with Data Scientists, Software Engineers, and Product teams</li> 
</ul>
<h3 class="jobSectionHeader">Qualifications:</h3> 

<ul>
<li>Strong hands-on experience with Microsoft Azure
</li>
<li>Experience with Azure AI / ML services (Azure ML, Azure OpenAI, Cognitive Services)
</li>
<li>Proficiency in Python for AI/ML and automation
</li>
<li>Experience deploying AI models in cloud production environments
</li>
<li>Understanding of cloud architecture, networking, and security
</li>
<li>Experience with CI/CD and DevOps practices
</li>
<li>Familiarity with Docker and containerized workloads</li></ul></div>

Cloud AI Engineer

Fiblix

Position Type: Full-Time, Remote Location: Remote (Worldwide) Reports to: Technical Director / CTOAbout the RoleWe are seeking a highly experienced AI/ML Engineer &amp; Data Scientist to work on a large-scale enterprise software platform. This is a senior-level position requiring deep expertise in artificial intelligence, machine learning, and data science with proven experience in building and deploying production-grade AI systems.You will be responsible for architecting intelligent features, building ML pipelines, integrating cutting-edge AI capabilities, and transforming complex data into actionable insights.Key ResponsibilitiesAI/ML Development<ul><li>Design and build end-to-end machine learning systems for production deployment</li><li>Develop deep learning models (CNNs, RNNs, Transformers, GANs)</li><li>Implement recommendation engines, predictive analytics, and intelligent automation</li><li>Optimize models for performance, scalability, and cost efficiency</li></ul>LLM &amp; NLP Integration<ul><li>Integrate and fine-tune Large Language Models (GPT-4, Claude, LLaMA, Mistral)</li><li>Build NLP pipelines for text classification, sentiment analysis, and entity recognition</li><li>Develop RAG systems, chatbots, and conversational AI features</li><li>Implement prompt engineering and chain-of-thought reasoning</li></ul>Data Science &amp; Analytics<ul><li>Conduct exploratory data analysis on large, complex datasets</li><li>Perform statistical analysis, hypothesis testing, and causal inference</li><li>Build automated data pipelines and feature engineering workflows</li><li>Create data visualizations and reporting dashboards</li></ul>MLOps &amp; Production Systems<ul><li>Design MLOps pipelines for continuous training and deployment</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Build scalable model serving infrastructure</li><li>Establish testing frameworks and deployment strategies</li></ul>AI Integrations<ul><li>Integrate third-party AI APIs (OpenAI, Anthropic, Google AI, Azure AI, AWS)</li><li>Design RESTful APIs for model serving</li><li>Implement vector databases and semantic search capabilities</li><li>Build microservices architecture for AI features</li></ul>Required QualificationsExperience<ul><li>Minimum 5-8 years in AI/ML and Data Science</li><li>Minimum 5 years deploying production ML systems at scale</li><li>Minimum 3 years with deep learning frameworks</li><li>Minimum 2 years with LLMs and modern NLP</li><li>Proven track record of delivering impactful AI projects</li></ul>Education<ul><li>Bachelor's in Computer Science, ML, AI, Data Science, Statistics, or related field</li></ul>Technical SkillsProgramming:<ul><li>Python (expert level), SQL, and one additional language (R, Scala, or Java)</li></ul>ML Frameworks:<ul><li>TensorFlow/Keras, PyTorch, Scikit-learn, XGBoost/LightGBM</li></ul>NLP &amp; LLMs:<ul><li>Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs</li><li>Vector databases (Pinecone, Weaviate, Milvus, Chroma)</li></ul>MLOps:<ul><li>MLflow, Weights &amp; Biases, Docker, Kubernetes</li><li>Model serving (TensorFlow Serving, TorchServe, BentoML)</li></ul>Cloud Platforms (at least two):<ul><li>AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML</li></ul>Data Engineering:<ul><li>Apache Spark, data warehousing, stream processing</li></ul>Soft Skills<ul><li>Excellent English communication (written and verbal)</li><li>Self-motivated with ability to work independently</li><li>Strong problem-solving and analytical thinking</li><li>Experience working in remote, distributed teams</li></ul>Preferred Qualifications<ul><li>Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)</li><li>Open-source contributions to ML frameworks</li><li>Experience with AI safety and alignment</li><li>Cloud ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI Engineer)</li><li>Domain expertise in enterprise software, fintech, healthcare, or e-commerce</li></ul>Job Type: Full-timePay: From Rs200,000.00 per month

Senior AI/ML Engineer & Data Scientist

BGB Group

<div>BGB Group

Power Platforms Engineer

Our Agency

BGB Group is a healthcare communications agency that offers a wide range of services, including advertising, medical education, payer marketing, and consulting services. Known for excellence and professionalism, we're hired as strategic and creative partners by our biopharmaceutical clients to drive category/brand awareness and growth.

Position Overview

The Power Platforms Engineer will design and deploy enterprise-grade automation solutions that streamline workflows, enhance data connectivity, and integrate seamlessly across Microsoft 365, Power BI, and Fabric environments.

Key Responsibilities:
<ul>
<li>Develop End-to-End Cloud Flows: 
Build scalable, event-driven Power Automate flows that replace manual processes across Finance, HR, PMO, and Operations. 
Leverage connectors for SharePoint, Teams, Outlook, Power BI, Salesforce &amp; OpenAir to create integrated business automations.</li>
<li>Integrate with Data &amp; BI Systems: 
Develop Power Automate processes that interface directly with Power BI Datasets, executing DAX or SQL queries to extract
 
and route data-driven insights dynamically. 
Orchestrate validation and sync processes between Fabric Lakehouse data &amp; Power BI models.</li>
<li>RPA (Robotic Process Automation): 
Streamline legacy or browser-based operations with unattended bots and UI-based automation. 
Configure unattended bots and virtual agents for operational consistency and time savings.</li>
<li>Connectivity &amp; Governance: 
Build secure, governed connections using service principals, Azure AD app registrations, and API authentication. 
Develop audit logs, error-handling layers, and alert systems to track data and data integrity.</li>
<li>Monitoring &amp; Optimization: 
Track and optimize performance through the Power Platform Admin Center. 
Implement alerting, error handling, and retry logic to maintain reliability and SLA compliance.</li>
</ul>
Qualifications:
<ul>
<li>Advanced expertise in Power Automate Cloud Flows, Power Automate Desktop, and Microsoft.</li>
<li>Strong understanding of HTTP requests, JSON schema parsing, Azure Logic Apps, and REST API integration.</li>
<li>Ability to work with Power BI REST API, Fabric Lakehouse APIs, Graph API, and OData endpoints.</li>
<li>Experienced in governance, version control, and environment management within the Power Platform</li></ul></div>

Power Platforms Engineer

Confiz

<div>We are seeking a Data Engineer with 7+ 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>

Lead 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)

Explore 654+ Azure data engineer in Charge Jobs In Karachi this February. Find roles across top companies and apply now to boost your career.

654 azure data engineer jobs In Charge Jobs In Karachi

Azure Data Engineer

Azure Data Engineer

Cloud AI Engineer

Senior AI/ML Engineer & Data Scientist

Power Platforms Engineer

Lead Data Engineer

Principal Data Engineer (PySpark)