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business intelligence analyst Jobs in Lahore

business intelligence analyst

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BlizzUp Technologies

<div>
 *Apply for Data related open positions at Punjab IT Board (Lahore) using below links*
 
 
 
 *Data Architect*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-architect
 
 
 *Data Modeler*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-modeler-2
 
 
 *Senior Data Engineer*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/senior-data-engineer-10
 
 
 *Data Scientist*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-scientist-14
 
 
 *DevOps Engineer*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/dev-ops-engineer-18
 
 
 
 *Deadline: 02-Nov-2025*
</div>

Data Warehouse Architect

Axiom world (Pvt.) Ltd

<ul><li>Job Title: Senior Data Engineer / Data Solutions Specialist</li><li>Location: Johar Town</li><li>Experience Required: 5+ Years</li><li>Office Timing: 3 pm - 12 am</li></ul>About the Role:We are looking for a highly skilled Senior Data Engineer to architect, build, and optimize our data infrastructure. You will be responsible for designing scalable data pipelines, maintaining enterprise-grade databases, ensuring data reliability, and enabling advanced analytics across the organization. Your work will serve as the technical backbone for data-driven decision-making.Key Responsibilities<ul><li>Architect, design, and maintain scalable relational and distributed databases (MS SQL Server, MySQL, PostgreSQL).</li><li>Build and optimize ETL/ELT pipelines for structured and unstructured data.</li><li>Develop and manage data warehouses and data lake solutions for analytics workloads.</li><li>Implement data ingestion frameworks and automate data workflows using SSIS, Azure Data Factory, or similar tools.</li><li>Write robust, optimized SQL queries, scripts, and stored procedures for performance-sensitive workloads.</li><li>Collaborate with Data Analysts and Business Teams to deliver analytical data models, marts, and datasets.</li><li>Implement data quality checks, governance practices, and ensure data integrity and security.</li><li>Monitor system performance and perform troubleshooting, performance tuning, and capacity planning.</li><li>Maintain documentation and enforce best practices in data architecture and DevOps/data engineering cycles.</li><li>Mentor junior team members and contribute to building a scalable data engineering culture.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>5+ years of proven experience as a Data Engineer, Database Developer, or similar role.</li><li>Strong command of SQL and RDBMS tuning, indexing, partitioning, and optimization.</li><li>Hands-on experience with ETL tools (SSIS, Azure Data Factory, Informatica, etc.).</li><li>Experience with data warehousing concepts, dimensional modeling, and OLAP systems.</li><li>Familiarity with cloud platforms (Azure preferred; AWS/GCP is a plus).</li><li>Good understanding of distributed data systems, streaming (Kafka/Spark) is a plus.</li><li>Experience collaborating with BI teams for KPI dashboards and analytics.</li><li>Strong analytical mindset, communication, and problem-solving skills</li></ul>Job Type: Full-timeWork Location: In person

Senior Data Engineer

Datamatics Global Services Ltd

<div><h3 class="jobSectionHeader">Location: Riyadh, KSA 
Duration: 6 Months (Extendable) 
Work Mode: Onsite 
Experience: 8+ Years 
 
Job Summary: 
 
We are seeking a highly skilled Informatica Solution Architect to design and implement enterprise-level data integration and management solutions. The ideal candidate will have a strong background in Informatica architecture, data governance, and end-to-end solution design aligned with business goals. 
 
Key Responsibilities:</h3><ul><li>
Lead the design and architecture of Informatica-based data integration solutions.</li><li>
Define best practices for data flow, ETL design, and metadata management.</li><li>
Work closely with business and technical teams to translate requirements into scalable solutions.</li><li>
Oversee data modeling, mapping, and performance optimization activities.</li><li>
Provide guidance on system design, configuration, and deployment.</li><li>
Ensure compliance with organizational data governance and security policies.</li><li>
Support implementation teams with troubleshooting and solution validation.</li></ul><h3 class="jobSectionHeader">
Qualifications:</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field.</li><li>
8+ years of experience in Informatica solutions, including PowerCenter, IDMC, or Cloud Data Integration.</li><li>
Proven expertise in architecture design, ETL development, and system integration.</li><li>
Strong understanding of data warehousing and data governance principles.</li><li>
Excellent communication and leadership skills.</li><li>
Informatica or data architecture certification preferred.</li></ul>
j80zuksIQ8</div>

Informatica Solution Architect

House of Consumer items

The Sr. Developer / Architect provides technical leadership across Oracle Analytics Cloud projects. This role owns the end-to-end technical design and ensures alignment with enterprise architecture, data governance, and security standards.Architect and design scalable OAC solutions across multiple subject areas. Lead data modeling efforts (logical, physical, semantic). Leverage data from integrations to OAC from other applications. Define standards for report design, RPD layers, and security frameworks. Guide development teams and review deliverables for quality and performance. Collaborate with enterprise architects, data governance, and security leads.5+ years of experience in OAC. Deep expertise in RPD modeling, data visualization, and performance tuning. Familiar with Oracle Cloud Infrastructure (OCI) and relevant PaaS/IaaS services. Proven track record of leading analytics architecture in regulated industries. Strong cross-functional leadership skills.Job Type: Full-timePay: From Rs250,000.00 per monthWork Location: In person

Sr. Developer / Architect

CHROMEIS

<div><h4 class="jobSectionHeader">Data Engineering Lead Description</h4>

We are seeking a talented Data Engineering Lead to design, develop, and govern our data architecture and pipelines. Join as soon as possible. The candidate will need to be collaborative, organised, think out-of-the-box, and be ready to pursue new opportunities. Most importantly, this role is for an individual who is passionate about making a difference through healthcare.

We have good budget for this position.
<h4 class="jobSectionHeader">
Key Responsibilities</h4>
<ul><li>Lead, mentor, and manage a team of data engineers, fostering a culture of technical excellence and continuous improvement.</li>
<li>Act as a hands-on technical expert, designing and implementing scalable and robust data architectures for data warehousing and enterprise data platforms.</li>
<li>Communicate effectively with stakeholders, translating complex business needs into technical requirements and solutions.</li>
<li>Define and enforce data engineering best practices, including coding standards, documentation, and quality assurance.</li>
<li>Develop and optimize data pipelines and ETL/ELT/CDC (Change Data Capture) workflows using tools such as Fivetran and Cloud Composer.</li>
<li>Collaborate with data scientists, product managers, and business stakeholders to define data requirements and create logical and physical data models.</li>
<li>Manage and administer various database systems, including BigQuery, SAP HANA, and PostgreSQL.</li>
<li>Ensure data quality, integrity, and security across all data platforms and pipelines.</li>
<li>Work with our AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads.</li>
<li>Design and develop reporting frameworks and data marts to support business intelligence needs.</li>
<li>Define and implement data governance, master data management, and data cataloging strategies.</li>
<li>Contribute to the full data lifecycle: requirements gathering, architecture, data modeling, development, testing, and deployment.</li>
<li>Troubleshoot and resolve data platform issues to ensure high availability and optimal performance.</li>
<li>Document technical designs, data lineage, and architecture for cross-functional reference.</li>
</ul>
Required Qualifications
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Data Science, or a related field.</li>
<li>Proven experience in a leadership or senior role, mentoring and guiding junior engineers.</li>
<li>Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.</li>
<li>Proficiency in one or more backend languages/frameworks, with a strong preference for Python or Go.</li>
<li>Experience with building RESTful APIs and designing microservices for data delivery.</li>
<li>Solid grasp of data modeling fundamentals, including Kimball and Inmon methodologies.</li>
<li>Proficiency in writing complex SQL queries and experience with SQL and NoSQL databases.</li>
<li>Familiarity with data warehousing concepts and best practices, including CDC.</li>
<li>Strong version-control habits (Git) and experience with CI/CD pipelines.</li>
<li>Excellent problem-solving and collaboration skills.</li>
<li>Passion for continuous learning and adapting to emerging data technologies.</li>
</ul><h4 class="jobSectionHeader">Preferred Qualifications</h4>
<ul><li>Hands-on experience designing and deploying production-grade data warehouses.</li>
<li>Deep experience with Google Cloud Platform (GCP)</li>
<li>BigQuery for large-scale analytical workloads.</li>
<li>Cloud Composer for orchestrating complex data pipelines.</li>
<li>Vertex AI for AI/ML model serving and feature stores.</li>
<li>Experience with other cloud providers (AWS, Azure) and their data services.</li>
<li>Working knowledge of data governance frameworks, master data management, and data cataloging tools.</li>
<li>Experience with data ingestion tools like Fivetran.</li>
<li>Business-intelligence expertise in building dashboards and reports with Power BI or Tableau.</li>
<li>Familiarity with other data technologies such as SAP HANA.</li>
<li>Understanding of MLOps concepts and their application to data pipelines.</li>
<li>Contributions to open-source data projects or technical blogging/presentations.</li>
</ul><h4 class="jobSectionHeader">Application Process:</h4>
<div><ul><li>Please send your resume to [careers@chromeis.com] with a relevant subject line.</li></ul>
<ul><li>If your resume is shortlisted, you will be invited to take an online AI-based assessment.</li></ul>
<ul><li>Candidates who pass this test will move on to the next stage: an on-call interview with the end client.</li></ul>
<ul><li>Successful candidates from all rounds will receive an offer based on the initial discussion during the first call.</li></ul></div></div>

Data Engineering Lead

ACE Union

About Us:We are a dynamic and fast-growing financial technology group headquartered in Manchester, United Kingdom, with an established presence across the UK, Europe, Canada, Australia, Pakistan, and Bangladesh. Our group, encompassing ACE Money Transfer and ACE Union, operates across two regulated verticals: Electronic Money Services (EMI) and Cross-Border Remittances.Through our digital platforms, including mobile apps, web portals, and APIs, we deliver a comprehensive range of regulated financial services. These include digital payments, e-wallets, electronic money issuance, prepaid cards, mobile top-ups, bill payments, and international money transfers, designed to serve both individual and business customers in over 100 countries. By leveraging cutting-edge technologies such as AI for fraud detection, automation for seamless transactions, and partnerships with global leaders like Mastercard, we provide secure, user-friendly, and accessible financial solutions that adapt to the evolving needs of a global customer base.As we scale our EMI and remittance operations amid 2025's fintech landscape&mdash;marked by real-time payments, embedded finance, blockchain integration, and sustainability initiatives&mdash;we are building a leadership team to drive innovation, regulatory compliance, and excellence across our dual-regulated ecosystem.Job Overview: This role is focused on designing and delivering scalable, secure, and high-performance data architectures to support the organization&rsquo;s expanding analytical and operational needs. The Senior Data Engineer will work closely with cross-functional teams to understand complex data requirements, define and implement robust data transformation rules, and lead the development and optimization of end-to-end data pipelines and data warehouse infrastructure. The ideal candidate will have hands-on experience in API based data integrations with third-party platforms, as well as a strong grasp of data governance principles. This includes implementing policies to ensure data quality, privacy, security, and compliance with regulatory standards. The role also involves optimizing workflows for cost efficiency and performance, while providing technical leadership to engineering and analytics teams in executing complex, data driven initiatives.Key Responsibilities:<ul><li>Architecting Scalable Data Systems: Designing robust data infrastructures capable of supporting increasing data volume and complexity.</li><li>Design Data Pipelines: Develop efficient data ingestion pipelines and ETL processes capable of handling both structured and unstructured data effectively.</li><li>Data Warehouse Management: Manage and optimize the data warehouse, ensuring efficient data storage, retrieval, and transformation. Implement best practices for organizing and managing raw, processed, and curated data, with scalability and future growth in mind</li><li>Optimize Data Modelling: Write, optimize, and maintain complex SQL queries and Python scripts to ensure efficient data processing.</li><li>Streamlining Data Workflows: Enhancing data storage, processing, and access methods to improve efficiency, strengthen data observability, and reduce operational costs through targeted infrastructure optimizations.</li><li>Governance &amp; Quality: Develop and maintain data quality checks to ensure data is accurate, consistent, and regulatory compliant.</li><li>Develop Integration Procedures: Design and implement processes to integrate data warehouse solutions into operational IT environments.</li><li>Driving Technical Leadership: Guiding engineering and analytics teams in the execution of data-driven initiatives and innovation.</li><li>Research &amp; Development: Keep up with the latest technological trends and identify innovative solutions to address customer challenges and company priorities.</li></ul>Skills and Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, or a related field, or equivalent professional experience.</li><li>Minimum of 4 years of hands-on experience in a Data Engineering or Data Architecture role.</li><li>Proven experience with cloud platforms such as AWS, Azure, or GCP, with practical knowledge of their core data and infrastructure services.</li><li>Proficient in using ETL tools and frameworks such as AWS Glue, Apache Airflow, Apache Spark, Kafka, Informatica, DataStage, or Talend for integrating data from multiple sources.</li><li>Demonstrated expertise in setting up and managing scalable, high-performance data warehouse environments.</li><li>Strong understanding of dimensional data modeling and mapping techniques, including Star, Snowflake, and Galaxy schemas.</li><li>Solid understanding of data privacy regulations, including GDPR, and experience applying best practices for data security, compliance, and governance.</li><li>Working knowledge of data observability principles and the full data lifecycle management.</li><li>Extensive experience in designing and developing ETL architectures to support large-scale, distributed data processing.</li><li>Deep knowledge of relational database concepts and advanced proficiency in SQL and Python for data manipulation and transformation.</li><li>Experience working in distributed environments, including clustering, partitioning, and sharding strategies.</li><li>Familiarity with building semantic models and preparing reporting and mapping documentation.</li><li>Strong analytical and problem-solving skills, with a logical and solution-oriented mindset.</li><li>Prior experience in the financial services sector is a plus.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs400,000.00 per monthApplication Question(s):<ul><li>Do you speak English Proficiently ?</li><li>Do you have hands-on experience with DBT or Apache Airflow? If yes, please provide basic details on your experience, including specific use cases and projects.</li><li>What is your current compensation package?</li><li>What is your expected salary?</li><li>Is it possible for you to commute daily to Gulberg-3 Lahore, or to relocate to Lahore city for this job?</li><li>The shift timing connected with the role is 01 PM PST to 10 PM PST. Is it feasible for you to work in these timings?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Engineering or Data Architecture role.: 4 years (Required)</li></ul>Work Location: In person

Programmers Force

About the Role:We are looking for a highly skilled Senior Full Stack Engineer to tackle our most critical technical challenges. This role goes beyond feature development; you will be responsible for designing, building, and optimizing the core systems that power our security, data processing, and observability platforms. You will have a direct impact on our product's scalability, reliability, and compliance.If you are passionate about solving complex backend problems, designing fault-tolerant systems, and writing high-performance code, this is the role for you.Key Responsibilities:<ul><li>Architect and Implement Secure Data Systems: Design and implement robust encryption key management and rotation strategies for PostgreSQL and MongoDB to meet strict compliance requirements, ensuring data security without sacrificing performance.</li><li>Build Scalable Data Pipelines: Re-architect our log shipping infrastructure to handle massive scale, replacing bottlenecks with a high-throughput, low-latency system using modern technologies (e.g., Kafka, Fluent Bit, Redis).</li><li>Engineer Distributed Processing Services: Break down monolithic bottlenecks by designing a distributed, fault-tolerant video processing service. This involves leveraging object storage, job queues, and containerization to enable horizontal scaling.</li><li>Drive System Reliability: Identify and eliminate single points of failure across our stack, ensuring high availability for critical services.</li><li>Collaborate &amp; Mentor: Work closely with cross-functional teams, including DevOps, Data Science, and Security, to deliver end-to-end solutions. Mentor other engineers on best practices for system design.</li></ul>The Ideal Candidate Has:<ul><li>5+ years of professional software development experience with a strong backend focus.</li><li>Proficiency in our core stack: Python, Node.js, PostgreSQL, MongoDB, and AWS/Azure/GCP.</li><li>Proven experience in at least two of the following three areas:</li><li>Data Security &amp; Cryptography: Practical experience with database encryption (e.g., TDE, application-level), key management services (KMS), and designing secure key rotation mechanisms.</li><li>High-Volume Data Streaming: Hands-on experience with building or optimizing data pipelines using tools like Kafka, RabbitMQ, Fluentd/Fluent Bit, or Redis Streams.</li><li>Distributed Systems &amp; Scalable Processing: Experience designing systems that process large files (e.g., video, images) using job queues (Celery, Redis Queue), object storage (S3, MinIO), and containerized workers (Docker, Kubernetes).</li><li>Strong understanding of DevOps principles and infrastructure-as-code (e.g., Terraform, Ansible).</li><li>Experience with performance benchmarking, profiling, and optimization.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs350,000.00 per monthWork Location: In person

Senior Full Stack Engineer (Python/Node.js/PostgreSQL)

Explore 980+ Data architect in Lahore this November. Find roles across top companies and apply now to boost your career.

980 data architect jobs IN Lahore

Data Warehouse Architect

Senior Data Engineer

Informatica Solution Architect

Sr. Developer / Architect

Data Engineering Lead

Senior Data Engineer

Senior Full Stack Engineer (Python/Node.js/PostgreSQL)