software engineer

data analyst

ai / ml engineer

ai data scientist

data engineer

big 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

Algo

<div>Job Title: Data Engineer 
Location: DHA Phase-8, Lahore 
 
Job Responsibilities: 
1. Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow 
2. Develop, test, and deploy Python-based data processing solutions 
3. Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs 
4. Write complex and optimized SQL queries for data transformation and extraction 
5. Ensure data quality, accuracy, and compliance with internal and external standards 
6. Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows 
7. Utilize version control (Git) and CI/CD pipelines for code deployment and process 
automation 
8. (Optional/Preferred) Support backend services using Django and task queues with 
Celery 

Qualifications Needed:
<ul>
<li>Python 
</li>
<li>SQL 
</li>
<li>Snowflake 
</li>
<li>Databricks 
</li>
<li>Azure (or AWS) 
</li>
<li>ETL/ELT 
</li>
<li>ADF / Apache Airflow 
</li>
<li>Data Warehousing 
</li>
<li>Git 
</li>
<li>CI/CD 
</li>
<li>Django (preferred) 
</li>
<li>Celery (preferred)</li></ul></div>

Data Engineer (4-5 Years)

Taraki

<div>
 
 About The Job
 
 
 
 <ul>
 <li>
 Build and maintain data pipelines using Python and Apache Spark.
 </li>
 <li>
 Orchestrate workflows using Airflow and Google Cloud Workflows (CloudFlow).
 </li>
 <li>
 Develop, deploy, and manage containerized data services using Docker and Cloud Run.
 </li>
 <li>
 Design, optimize, and monitor datasets and queries in BigQuery.
 </li>
 <li>
 Ingest, transform, and integrate external data through REST APIs.
 </li>
 <li>
 Manage data lifecycle and storage using Google Cloud Storage (GCS).
 </li>
 <li>
 Implement data quality, monitoring, and observability best practices.
 </li>
 <li>
 Collaborate with cross-functional engineering, product, and data science teams.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2&ndash;4+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong proficiency in Python, SQL, and Spark/PySpark.
 </li>
 <li>
 Hands-on experience with Airflow and cloud-native orchestration (e.g., Cloud Workflows).
 </li>
 <li>
 Experience with Docker, containers, and deploying services in Cloud Run.
 </li>
 <li>
 Skilled with BigQuery, GCS, and general GCP data tooling.
 </li>
 <li>
 Experience working with REST APIs and building ingestion integrations.
 </li>
 <li>
 Solid understanding of data modeling, ETL/ELT pipelines, and distributed systems.
 
 
 
 </li>
 </ul>
 
 Bonus:
 
 Experience with healthcare data standards (FHIR, HL7) or regulated environments.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and performance-based incentives
 </li>
 <li>
 Flexible work arrangements
 </li>
 <li>
 Paid time off and public holidays
 </li>
 <li>
 Professional development opportunities (training, workshops, certifications)
 </li>
 <li>
 Supportive, collaborative, and mission-driven work culture
 
 </li>
 </ul>
</div>

Data Engineer - Marham

Soho Dragon

<div>SoHo Dragon represents a tech-driven, AI-native pharmaceutical company that&rsquo;s shaping the future of healthcare. We&rsquo;re looking for a mid-to-senior-level Data Engineer to play a key role in building and optimizing data solutions. 
You&rsquo;ll work with Snowflake and Dagster as your core tools, while also leveraging Terraform, GitHub Actions, and Databricks to deliver scalable, high-impact data pipelines. 
Start date: ASAP

Contract duration: 2-6 months</div>

Devsinc

<div>
 We are seeking a highly skilled
 
 Senior Data Engineer
 
 to design, build, and optimize scalable data pipelines, storage layers, and analytics infrastructure. The ideal candidate has strong data engineering foundations, deep experience with distributed data systems, and the ability to turn complex business requirements into high-performance, production-grade data solutions. The role also requires leadership in driving complex data projects end-to-end.
 
 
 
 Key Responsibilities:
 
 
 
 
 Leadership &amp; Project Management
 
 
 
 <ul>
 <li>
 Lead end-to-end technical delivery of data engineering projects.
 </li>
 <li>
 Define technical scope, timelines, and engineering milestones.
 </li>
 <li>
 Manage and coordinate multiple stakeholders (data scientists, ML engineers, backend teams, and product teams).
 </li>
 <li>
 Conduct architectural reviews, ensure engineering best practices, and drive technical decision-making.
 </li>
 <li>
 Mentor junior and mid-level engineers, fostering a culture of learning and excellence.
 </li>
 <li>
 Oversee code quality, documentation, and adherence to team standards.
 </li>
 <li>
 Proactively identify risks, dependencies, and areas for improvement across projects.
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Systems Development
 
 
 
 <ul>
 <li>
 Design and implement scalable ETL/ELT pipelines for both batch and streaming workloads, and build/maintain data warehouses, lakes, and lakehouse architectures.
 </li>
 <li>
 Develop optimized data models (relational, dimensional, NoSQL) while ensuring data quality, lineage, governance, and metadata management.
 </li>
 <li>
 Write clean, modular, and well-tested production code in Python, Java, or Scala; build APIs, microservices, and integrations for data workflows; and implement CI/CD automation and testing.
 </li>
 <li>
 Build secure, scalable cloud-based data infrastructure on AWS/GCP/Azure using containerized, serverless, and distributed technologies, and manage IaC using Terraform, CloudFormation, etc.
 </li>
 <li>
 Work with modern data and streaming frameworks (Spark, Flink, Beam, Kafka, Kinesis, Pub/Sub) and cloud data platforms (Snowflake, BigQuery, Redshift, Databricks) to deliver real-time and event-driven pipelines.
 </li>
 <li>
 Collaborate with cross-functional teams (Data Scientists, ML Engineers, Software Engineers) and lead design discussions, code reviews, and mentoring to maintain engineering best practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in Data Engineering roles.
 </li>
 <li>
 Strong proficiency in Python, SQL, and at least one compiled language (Java/Scala/Go).
 </li>
 <li>
 Hands-on experience with data pipeline orchestration (Airflow, Dagster, Prefect, etc.).
 </li>
 <li>
 Deep understanding of distributed systems, data partitioning, fault tolerance, and performance tuning.
 </li>
 <li>
 Experience with containerized environments (Docker, Kubernetes).
 </li>
 <li>
 Strong problem-solving skills, debugging abilities, and systems-level thinking.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience supporting ML Ops workflows and feature/data pipelines for machine learning models and AI applications.
 </li>
 <li>
 Knowledge of Delta Lake and Data Warehouse.
 </li>
 <li>
 Familiarity with security, compliance, access controls, and enterprise data governance.
 </li>
 <li>
 Exposure to data observability tools (Monte Carlo, Databand, Soda, etc.).
 </li>
 <li>
 Background in AI, analytics, or large-scale product engineering is a plu
 </li>
 </ul>
</div>

Senior Data Engineer.

Digital Dost Pvt Limited

We are seeking a Senior Python Web &amp; AI/ML Engineer with 5+ years of experience to build and deploy scalable web applications and production-grade AI/ML systems. This is an onsite role requiring strong expertise in Python, Machine Learning, and MLOps.Responsibilities<ul><li>Develop Python-based web applications and APIs</li><li>Build and deploy end-to-end ML pipelines</li><li>Design and optimize ML/DL models for production</li><li>Work on NLP, Computer Vision, or predictive modeling use cases</li><li>Deploy models using Docker, Kubernetes, and cloud platforms</li><li>Integrate AI models into production systems</li><li>Optimize, debug, and scale AI pipelines</li></ul>Required Qualifications<ul><li>5+ years of experience in ML, Deep Learning, or Applied AI</li><li>Strong Python skills with TensorFlow, PyTorch, Scikit-learn</li><li>Experience with ML pipelines and MLOps tools (MLflow, Kubeflow, Airflow, DVC)</li><li>Hands-on experience with Docker, Kubernetes, and API deployment</li><li>Experience with SQL and NoSQL databases</li><li>Knowledge of AWS, Azure, or GCP</li><li>Strong software engineering fundamentals</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in CS, AI, ML, Data Science, or related field</li></ul>Preferred Qualifications<ul><li>Experience with LLMs, Generative AI, RAG, and prompt engineering</li><li>Experience with vector databases (Pinecone, FAISS, Weaviate, ChromaDB)</li><li>Experience with real-time inference systems</li><li>Background in Big Data or Data Engineering (Spark, Kafka, Databricks)</li><li>Open-source, research, or Kaggle experience</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthWork Location: In person

Senior Python Web & AI/ML Engineer (Onsite)

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Lahore 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and 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 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

YrFW1AObcG</div>

Sr. AWS AI Engineer

Explore 963+ Big data engineer in Lahore this January. Find roles across top companies and apply now to boost your career.

963 big data engineer jobs IN Lahore

Data Engineer

Data Engineer (4-5 Years)

Data Engineer - Marham

Data Engineer

Senior Data Engineer.

Senior Python Web & AI/ML Engineer (Onsite)

Sr. AWS AI Engineer