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big data 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>

Data Engineer

H2o Labs

Senior / Lead / Data Engineer &ndash; Comprehensive Job DescriptionAbout the RoleWe are seeking a highly skilled and experienced Senior/Lead/Staff Data Engineer todesign, build, and maintain scalable, reliable, and high-performance data systems. Thisrole requires deep technical expertise, strong ownership of data platforms, and the abilityto lead cross-functional initiatives that power analytics, machine learning, businessintelligence, and mission-critical applications.You will play a key role in shaping data architecture, ensuring data quality and governance,and enabling teams across the organization to make data-driven decisions withconfidence.Key ResponsibilitiesData Architecture &amp; Modeling<ul><li>Design and implement scalable data models, including:</li></ul>o Star schema (fact and dimension tables)o Conceptual, logical, and physical data models<ul><li>Develop enterprise data warehouse solutions ensuring:</li></ul>o Flexibility, scalability, and performance optimization<ul><li>Define and enforce data modeling standards and best practices</li></ul>Data Engineering &amp; Pipeline Development<ul><li>Build and maintain end-to-end data pipelines:</li></ul>o Data ingestion &rarr; staging &rarr; transformation &rarr; serving layers<ul><li>Develop robust ETL/ELT processes using modern tools and frameworks</li><li>Implement:</li></ul>o Typed staging layerso Data validation pipelineso Safe backfill and replay mechanisms<ul><li>Optimize SQL queries, indexing strategies, and database performanceData Platform Reliability &amp; Observability</li><li>Own data pipeline reliability and integrity</li><li>Build observability systems, including:</li></ul>o Monitoring dashboardso Alerting frameworks (actionable, low-noise)o Data freshness tracking<ul><li>Implement:</li></ul>o Schema contracts and enforcemento Data quality checks and validation ruleso Failure detection in CI pipelines (not post-deployment)<ul><li>Lead incident management and root cause analysis</li></ul>Data Governance &amp; Quality<ul><li>Establish data governance frameworks:</li></ul>o Standards, policies, and best practices<ul><li>Enforce:</li></ul>o Data integrityo Data lineage and traceabilityo Access controls and compliance<ul><li>Separate and maintain clear boundaries between:</li></ul>o Core governed datasetso Downstream analytics/BI layersCloud &amp; Big Data Integration<ul><li>Integrate systems with:</li></ul>o Data lakes and large-scale data platforms<ul><li>Work with modern cloud ecosystems (AWS preferred):</li></ul>oo Data warehouse platforms (e.g., Redshift, Snowflake)<ul><li>Design cost-efficient and scalable data solutions</li></ul>Analytics Engineering &amp; Data Products<ul><li>Design and deliver data products used by:</li></ul>o Analystso Data scientistso Product teams<ul><li>Build reusable frameworks for:</li></ul>o Data transformationo Orchestrationo Feature engineering (ML readiness)<ul><li>Support advanced analytics and reporting use cases</li></ul>CI/CD &amp; DevOps for Data<ul><li>Implement CI/CD pipelines for data workflows</li><li>Automate:</li></ul>o Testingo Deploymento Validation<ul><li>Use version control systems (Git/GitHub)</li><li>Ensure:</li></ul>o High availabilityo Backup and recovery strategiesProgramming &amp; Tooling<ul><li>Develop solutions using:</li></ul>oo Python (automation, validation, tooling)<ul><li>Work with tools such as:</li></ul>o dbt (deep experience required)o DBeaver, Visual Studioo Orchestration tools (e.g., Dagster or similar)Leadership &amp; Collaboration<ul><li>Lead cross-functional technical initiatives</li><li>Mentor and guide junior to mid-level data engineers</li><li>Conduct:</li></ul>o Code reviewso Architecture discussionso Knowledge sharing sessions<ul><li>Collaborate with:</li></ul>o Engineering teamso Product managerso Business stakeholders<ul><li>Translate business requirements into scalable data solutions</li></ul>Strategic Impact<ul><li>Drive platform evolution and innovation</li><li>Identify opportunities for:</li></ul>o Performance improvementso Cost optimization (FinOps mindset)o Automation and scalability<ul><li>Influence organizational data strategy and roadmapRequired Qualifications</li><li>Bachelor&rsquo;s degree in computer science, Engineering, IT, or related field</li><li>4&ndash;5+ years of experience in data engineering or analytics engineering</li><li>Strong expertise in:</li></ul>o Data modeling (star schema, dimensional modeling)o SQL and performance tuningo ETL/ELT pipeline development<ul><li>Hands-on experience with:</li></ul>o Data warehousing and data lakeso Big data integrations<ul><li>Experience with:</li></ul>o Cloud platforms (AWS preferred)o Data quality, validation, and governance frameworks<ul><li>Strong understanding of:</li></ul>o System designo Scalable architecture<ul><li>Excellent communication and stakeholder management skills</li><li>Ability to work in agile, fast-paced environments</li><li>Eligibility to obtain security clearance (if required)</li></ul>Preferred Qualifications<ul><li>Experience with:</li></ul>o AWS services (Glue, Lambda, etc.)o Snowflake, Redshifto dbt (production-level deployments)<ul><li>Knowledge of:</li></ul>o Machine learning data pipelineso Certifications:o SQL Server, CDMP, MCSA, or similar<ul><li>Experience in:</li></ul>o Healthcare, defense, or regulated industries<ul><li>Familiarity with:</li></ul>o CI/CD for data systemso Data governance and FinOps practicesWhat Makes a Strong Candidate<ul><li>Thinks of systems, not just pipelines</li><li>Focuses on root-cause solutions, not temporary fixes</li><li>Balances:</li></ul>o Business valueo Scalabilityo Maintainability<ul><li>Strong ownership mindset with ability to lead initiatives end-to-end</li><li>Passion for building resilient, high-quality data platforms</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs350,000.00 per monthWork Location: In person

Lead Data Engineer

HR Professional

We are seeking talented professionals of Data Engineer with 2&ndash;4 years of relevant experience to join our growing team.Location: Lahore (On-site)Shift Time: 10:00 AM &ndash; 7:00 PMExperience at-least 3 years (preferably FMCG company)Working Days: Monday to FridayNote: Do not apply if you are willing for remote options.Pay: Rs150,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>How much experience do you have as Data Engineer?</li><li>Are you comfortable with the on-site job (Defence road near University of Lahore/ bhobtiyan chowk)?</li><li>What is your current &amp; expected salary?</li></ul>Work Location: In person

HireOn

<div>
 
 Employment Type:
 
 Full-Time | Permanent
 
 
 
 Location:
 
 Pakistan (Lahore / Karachi / Islamabad) &ndash; Hybrid
 
 
 
 About The Opportunity
 
 
 
 
 HireOn
 
 is hiring on behalf of a
 
 reputed international client
 
 seeking a
 
 Principal Data Engineer
 
 to play a pivotal role in building and scaling a next-generation cloud data platform.
 
 
 This position focuses on designing and delivering
 
 high-performance data pipelines and warehouse solutions on Amazon Redshift
 
 , enabling faster analytics, improved reliability, and scalable data operations.
 
 
 You will take ownership of
 
 architecting data workflows, optimizing processing performance, and implementing production-grade orchestration
 
 , while collaborating with cross-functional teams to drive data-driven outcomes.
 
 
 
 Key Requirements (Must-Have First)
 
 
 
 <ul>
 <li>
 6 to 8+ years of experience in data engineering, data platforms, or data warehousing
 </li>
 <li>
 Advanced expertise in Amazon Redshift, including performance tuning, workload optimization, and MPP architecture
 </li>
 <li>
 Strong hands-on experience with Apache Airflow (MWAA preferred) for workflow orchestration
 </li>
 <li>
 Proficiency in SQL and Python for building scalable data pipelines
 </li>
 <li>
 Solid experience with cloud-based data ecosystems on AWS (S3, Lambda, CloudWatch, DMS)
 </li>
 <li>
 Deep understanding of data modeling, ETL/ELT frameworks, and large-scale data processing
 </li>
 <li>
 Proven ability to design high-performance, distributed data pipelines
 </li>
 <li>
 Experience leading engineering efforts, including code reviews, mentoring, and technical decision-making
 </li>
 <li>
 Strong knowledge of query optimization, parallel processing, and data pipeline efficiency
 
 
 </li>
 </ul>
 
 
 Core Technical Skills
 
 
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Amazon Redshift (Provisioned / Serverless)
 </li>
 <li>
 MPP data processing concepts
 </li>
 <li>
 Apache Airflow (MWAA)
 </li>
 <li>
 Advanced SQL &amp; performance tuning
 </li>
 <li>
 Python for data engineering
 </li>
 <li>
 Data modeling &amp; warehousing concepts
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 AWS services (S3, Lambda, DMS, Aurora PostgreSQL)
 </li>
 <li>
 CI/CD pipelines &amp; Git-based workflows
 </li>
 <li>
 Linux/Unix environments
 </li>
 <li>
 Experience with large-scale, distributed data systems
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Highly optimized and scalable data pipelines running on Redshift
 </li>
 <li>
 Reliable orchestration with minimal downtime and strong observability
 </li>
 <li>
 Efficient handling of large datasets with improved query performance
 </li>
 <li>
 Well-architected data platform aligned with modern engineering standards
 
 
 </li>
 </ul>
 
 
 Why Join Through HireOn
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a globally recognized client on high-impact data initiatives
 </li>
 <li>
 Exposure to modern cloud data technologies and large-scale systems
 </li>
 <li>
 Hybrid work flexibility within Pakistan
 </li>
 <li>
 Career growth into data architecture and platform leadership roles
 
 
 </li>
 </ul>
 Skills: apache airflow,python,plsql,aws,amazon redshift
</div>

Principal Data Engineer – AWS Redshift & Data Platforms

HR POD Careers

<div>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 3+ years of experience in Data Engineering or related roles.
 </li>
 <li>
 Strong expertise in SQL, query optimization, and database performance tuning.
 </li>
 <li>
 Proven experience in designing, building, and maintaining ETL/ELT pipelines.
 </li>
 <li>
 Hands-on experience with Databricks or similar large-scale data processing platforms.
 </li>
 <li>
 Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
 </li>
 <li>
 Proficiency in Python for data processing, scripting, and automation.
 </li>
 <li>
 Familiarity with workflow orchestration tools such as Airflow or similar platforms.
 </li>
 <li>
 Strong understanding of data modeling, data warehousing, and scalable architecture design.
 </li>
 <li>
 Experience handling large datasets and distributed data systems.
 </li>
 <li>
 Excellent problem-solving, troubleshooting, and debugging skills.
 </li>
 <li>
 Experience with Spark, Kafka, or real-time data streaming technologies.
 </li>
 <li>
 Exposure to healthcare or SaaS-based datasets is a plus.
 </li>
 <li>
 Knowledge of data governance, metadata management, and data quality practices.
 </li>
 <li>
 Familiarity with DevOps practices, CI/CD pipelines, and infrastructure automation.
 </li>
 <li>
 Experience supporting and maintaining machine learning pipelines.
 
 
 
 </li>
 </ul>
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL/ELT pipelines using internal systems, APIs, and external data sources.
 </li>
 <li>
 Build and optimize data architectures, warehouses, and storage solutions for scalability and performance.
 </li>
 <li>
 Clean, validate, and transform raw data to support analytics, reporting, and business intelligence needs.
 </li>
 <li>
 Write, optimize, and maintain complex SQL queries and data models.
 </li>
 <li>
 Monitor and manage data workflows to ensure performance, reliability, and scalability.
 </li>
 <li>
 Ensure data quality, integrity, consistency, and security across all systems and pipelines.
 </li>
 <li>
 Collaborate closely with analysts and stakeholders to support reporting and business intelligence requirements.
 </li>
 <li>
 Automate repetitive data processes and continuously improve workflow efficiency.
 </li>
 <li>
 Maintain clear documentation for data pipelines, datasets, schemas, and infrastructure.
 </li>
 <li>
 Continuously evaluate and enhance the company's data stack, architecture, and engineering best practices.
 
 </li>
 </ul>
</div>

Data Engineer (Onsite, Lahore, PKR Salary)

Purelogics

We are seeking a Senior AI Engineer to join our team and help us develop innovative solutions using artificial intelligence and machine learning technologies, specifically with LLMs. As an AI Engineer, you will be responsible for designing, building, testing, and deploying AI-based systems that can automate and optimize business processes.Responsibilities:<ul><li>Design, develop, and deploy AI-based systems and algorithms to solve complex problems and enhance business operations.</li><li>Train, fine-tune, and optimize AI/LLM models for task-specific performance.</li><li>Build intelligent web crawling and AI-based scraping solutions to extract structured data from public sources.</li><li>Process and organize scraped data for chatbot consumption and analysis.</li><li>Develop and manage scalable data pipelines and ETL workflows to support AI systems.</li><li>Collaborate with cross-functional teams to identify opportunities and deliver impactful AI-driven solutions.</li><li>Communicate effectively with clients to understand requirements and present viable AI solutions.</li><li>Develop data collection, preprocessing, and analysis pipelines for model training and evaluation.</li><li>Perform experiments and statistical analyses to assess algorithm performance.</li><li>Implement, deploy, and maintain AI models and solutions in production environments.</li><li>Lead AI initiatives and mentor junior engineers.</li><li>Ensure adherence to MLOps best practices including monitoring and lifecycle management.</li><li>Oversee Dockerization and containerization for deployment.</li><li>Manage multiple projects in a dynamic, research-oriented environment.</li></ul>Requirements:<ul><li>A minimum of 4 Years of experience is required</li><li>Proficiency in Python, with strong experience in PyTorch or TensorFlow.</li><li>Hands-on experience with Hugging Face Transformers.</li><li>Solid foundation in Neural Networks, CNNs, Transformers, and traditional ML algorithms.</li><li>Experience in AI-powered scraping frameworks (e.g., Scrapy with NLP filtering, Selenium with AI logic, Diffbot).</li><li>Strong grasp of data pipelines, ETL processes, and tools like Airflow or Spark.</li><li>Familiarity with vector databases such as FAISS, Pinecone, Qdrant, or ChromaDB.</li><li>Experience with FastAPI, Django, or Flask for building REST APIs.</li><li>Skilled in LangChain, LlamaIndex, or similar LLM orchestration tools.</li><li>Experience with RAG (Retrieval-Augmented Generation) and Chain-of-Thought reasoning.</li><li>Proficient in containerization (Docker) and cloud services (AWS, GCP, or Azure).</li><li>Strong communication skills and ability to lead client discussions and technical teams.</li><li>Deep understanding of object-oriented and functional programming principles.</li><li>2&ndash;3 years of experience in AI strategy, solution design, and data modeling.</li></ul>Nice to have<ul><li>Experience with Spatial Data Science, NLP, or Computer Vision.</li><li>Knowledge of Big Data tools (e.g., PySpark, AWS EMR, GCP BigQuery).</li><li>Familiarity with MLOps platforms like Sagemaker, AzureML, or Vertex AI.</li><li>Exposure to workflow orchestration tools like Kubeflow or Airflow.</li><li>Experience integrating scraped datasets into chatbot or NLP systems.</li><li>Understanding of prompt engineering and document ingestion strategies.</li><li>Familiarity with Kubernetes, serverless architectures, and distributed systems.</li><li>Knowledge of Graph Databases and Knowledge Graphs.</li><li>Strong communication and problem-solving skills with the ability to recommend innovative solutions and guide technical direction as needed.</li></ul>Experience:<ul><li>Min 4+ Years</li></ul>About Us:PureLogics is a full services technology company with having presence in the USA, UAE, and in Lahore. Over the past 18+ years, we have matured from a narrowly-focused five-person team to a well-established technology hub with around employees. We&rsquo;re CMMI Level 2 and ISO Certified company and highly acclaimed AWS consulting partners.The success of our business mainly lies in building a team of A-players, who work together and build together, and who crave perfection in everything they produce for our elite clients. We offer the opportunity to young and enthusiastic individuals that are eager to take on tough challenges under our mentorship toward a bright future.What are we offering?<ul><li>Annual Paid Leaves</li><li>Leave Encashment</li><li>Paid Certifications</li><li>Health, Life Insurance</li><li>Provident Fund</li><li>Child Education Program</li><li>Referral Bonus Program</li><li>Car &amp; Bike Finance Program</li><li>Monthly Achievements</li><li>Public Holiday &amp; Weekend Compensation</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: On the road

Sr. AI Engineer

About the RoleWe are seeking a highly skilled and experienced Senior / Lead Data Engineer to design, build, and maintain scalable, reliable, and high-performance data systems.In this role, you will take ownership of data platforms, lead cross-functional initiatives, and enable analytics, machine learning, and business intelligence across the organization. You will play a key role in shaping data architecture, ensuring data quality and governance, and supporting data-driven decision-making.Key ResponsibilitiesData Architecture &amp; Modeling<ul><li>Design and implement scalable data models (star schema, fact/dimension tables)</li><li>Develop conceptual, logical, and physical data models</li><li>Build enterprise data warehouse solutions with high performance and scalability</li><li>Define and enforce data modeling standards and best practices</li></ul>Data Engineering &amp; Pipeline Development<ul><li>Build and maintain end-to-end data pipelines (ingestion &rarr; transformation &rarr; serving)</li><li>Develop ETL/ELT processes using modern tools and frameworks</li><li>Implement data validation pipelines and staging layers</li><li>Optimize SQL queries, indexing, and database performance</li></ul>Data Platform Reliability &amp; Observability<ul><li>Ensure reliability and integrity of data pipelines</li><li>Build monitoring dashboards and alerting systems</li><li>Implement data quality checks and schema enforcement</li><li>Lead incident management and root cause analysis</li></ul>Data Governance &amp; Quality<ul><li>Establish data governance frameworks and policies</li><li>Ensure data integrity, lineage, and compliance</li><li>Manage access controls and data security</li><li>Maintain separation between core datasets and analytics layers</li></ul>Cloud &amp; Big Data Integration<ul><li>Integrate systems with data lakes and large-scale platforms</li><li>Work with cloud environments (AWS preferred)</li><li>Utilize tools such as AWS Glue, Lambda, Redshift, or Snowflake</li><li>Design scalable and cost-efficient data solutions</li></ul>Analytics Engineering &amp; Data Products<ul><li>Build and deliver data products for analysts and data scientists</li><li>Develop reusable frameworks for transformation and orchestration</li><li>Support advanced analytics and reporting</li></ul>CI/CD &amp; DevOps for Data<ul><li>Implement CI/CD pipelines for data workflows</li><li>Automate testing, deployment, and validation</li><li>Use version control tools (Git/GitHub)</li><li>Ensure high availability and disaster recovery</li></ul>Programming &amp; Tools<ul><li>Strong expertise in SQL (advanced level)</li><li>Proficiency in Python for automation and data processing</li><li>Experience with tools such as dbt, DBeaver, and orchestration tools (e.g., Dagster)</li></ul>Leadership &amp; Collaboration<ul><li>Lead technical initiatives and mentor junior engineers</li><li>Conduct code reviews and architecture discussions</li><li>Collaborate with engineering, product, and business teams</li><li>Translate business requirements into scalable data solutions</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, IT, or related field</li><li>4&ndash;5+ years of experience in Data Engineering or related roles</li><li>Strong expertise in data modeling, SQL, and ETL/ELT pipelines</li><li>Experience with data warehousing and data lakes</li><li>Hands-on experience with cloud platforms (AWS preferred)</li><li>Strong understanding of system design and scalable architecture</li><li>Excellent communication and stakeholder management skills</li><li>Ability to work in fast-paced, agile environments</li></ul>Preferred Qualifications<ul><li>Experience with AWS services (Glue, Lambda, etc.)</li><li>Experience with Snowflake or Redshift</li><li>Strong hands-on experience with dbt</li><li>Knowledge of machine learning data pipelines</li><li>Certifications (SQL Server, CDMP, MCSA, or similar)</li><li>Experience in regulated industries (Healthcare, Defense, etc.)</li><li>Familiarity with CI/CD, data governance, and FinOps practices</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs400,000.00 per monthWork Location: In person

Senior Data Engineer

Explore 639+ Big data engineer in Lahore this May. Find roles across top companies and apply now to boost your career.

639 big data engineer jobs In Lahore

Data Engineer

Lead Data Engineer

Data Engineer

Principal Data Engineer – AWS Redshift & Data Platforms

Data Engineer (Onsite, Lahore, PKR Salary)

Sr. AI Engineer

Senior Data Engineer