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data pipeline engineer

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>02/26/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>4-6 years
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Lahore
</div></div><div>State/Province
<div>Punjab
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>54000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>The Senior Data Integration Engineer is responsible for integrating customer data into the cloud platform. This role ensures data is accurate, consistent, and delivered in a format that supports analytics and reporting. You will collaborate closely with customer IT teams, internal engineering, and customer success teams to enable successful data onboarding and ongoing pipeline performance. 
This role is ideal for a data-driven professional who enjoys solving complex data challenges and working in a fast-paced deployment environment.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li> 
Perform initial data integrations for new customers and maintain ongoing extraction and transformation processes</li><li> 
Build and manage ETL/ELT workflows to extract, transform, and load data into databases or data lakes</li><li> 
Integrate data from APIs, ERPs, databases, web services, and third-party systems</li><li> 
Automate workflows and optimize existing data processes for performance and scalability</li><li> 
Ensure data quality by identifying and resolving inconsistencies, errors, and gaps</li><li> 
Act as the primary technical point of contact for assigned customers</li><li> 
Analyze customer data to support inventory reduction and shortage prevention goals</li><li> 
Collaborate with Engineering and Customer Success teams to support data pipeline operations</li></ul></div><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
Proficiency in Python, Java, or SQL</li><li> 
Strong experience with relational and NoSQL databases</li><li> 
Experience with cloud data infrastructure (AWS or Azure)</li><li> 
Strong data transformation and pipeline engineering expertise</li><li> 
Ability to work cross-functionally with engineering, product, and customer success teams</li><li> 
Strong analytical mindset and problem-solving skills</li><li> 
Ability to communicate technical concepts to non-technical stakeholders</li></ul><ul><li> 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or related field</li><li> 
Experience in data engineering, data integration, or similar role</li><li> 
Advanced SQL skills</li><li> 
Experience working with ERP or enterprise business systems</li><li> 
Strong understanding of data modeling and design principles</li><li> 
Ability to learn new systems and business processes quickly</li></ul><ul><li> 
Knowledge of supply chain or manufacturing processes</li><li> 
Familiarity with DevOps practices and CI/CD pipelines</li></ul><div> 
Location: Gulberg II, Lahore</div></div></div></div>

Senior Data Integration Engineer

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

Digital Promotix

Location: Remote (Pakistan Preferred)Reports to: Founder / Technical LeadProject Type: Contract (4&ndash;6 Weeks)Work Type: Remote⸻AboutWe are building a high-scale, production-grade Google Ads data engine to power a large outbound sales infrastructure.This system will:<ul><li>Collect businesses actively running Google Ads (mobile-first)</li><li>Extract phone numbers from call ads and call extensions</li><li>Normalize and deduplicate data</li><li>Store structured lead records in PostgreSQL</li><li>Export automated daily CSV feeds for VICIdial</li><li>Scale to 20,000&ndash;50,000+ API requests per day</li></ul>We are seeking a hands-on, experienced Backend Engineer who has already built similar high-volume data ingestion or SERP-based automation systems in production environments.This is not an entry-level role and not a basic scraping task. We require prior real-world experience in scalable API-driven data systems.⸻Role OverviewAs Senior Backend Engineer &mdash; Data Pipeline, you will design and implement a scalable, mobile-first SERP automation system.You will own:<ul><li>API integration</li><li>Worker-based processing architecture</li><li>Deduplication logic</li><li>Database schema design</li><li>System reliability under scale</li><li>Automation and export workflows</li></ul>This is a backend-intensive engineering role focused on performance, scalability, and clean architecture.⸻Key ResponsibilitiesData Pipeline Development (40%)<ul><li>Build scalable Node.js worker-based data collectors</li><li>Integrate SERP APIs (SerpApi / DataForSEO)</li><li>Implement concurrency control and rate limiting</li><li>Design retry mechanisms and exponential backoff strategies</li><li>Ensure stability at 20,000+ daily API requests</li><li>Optimize performance for high-throughput ingestion</li></ul>⸻Database Architecture &amp; Deduplication (30%)<ul><li>Design PostgreSQL schema for:</li><li>Leads</li><li>Query history</li><li>Suppression lists</li><li>Implement deduplication logic (phone + domain based)</li><li>Optimize indexing and query performance</li><li>Maintain freshness tracking and query rotation logic</li><li>Prevent duplicate or stale data exports</li></ul>⸻Automation &amp; Infrastructure (20%)<ul><li>Implement Redis + BullMQ worker queues</li><li>Setup scheduled jobs (cron-based execution)</li><li>Automate daily CSV export for VICIdial</li><li>Deploy backend system to VPS/cloud</li><li>Configure process managers (PM2 or equivalent)</li><li>Implement structured logging and monitoring</li></ul>⸻Code Quality &amp; Scalability (10%)<ul><li>Write modular, maintainable backend architecture</li><li>Document system flow and data structure</li><li>Ensure error handling and graceful recovery</li><li>Maintain performance under high load</li></ul>⸻Required Qualifications &amp; Experience (Must-Have)<ul><li>4+ years professional backend development experience</li><li>Strong expertise in Node.js (async, API integration, error handling)</li><li>Advanced PostgreSQL knowledge (schema design, indexing, optimization)</li><li>Experience integrating high-volume third-party APIs</li><li>Experience with worker queues (BullMQ, Redis, or similar)</li><li>Proven experience handling 10,000+ API requests per day</li><li>Experience building scalable data ingestion or scraping systems</li><li>Strong understanding of concurrency, rate limiting, and retry logic</li><li>Experience deploying backend systems independently</li></ul>⸻Mandatory Prior Experience RequirementApplicants must have previously built at least one of the following:<ul><li>SERP-based data collection engine</li><li>Large-scale scraping or crawling pipeline</li><li>Marketing lead automation system</li><li>Distributed worker-based ingestion system</li><li>High-volume API automation backend</li></ul>You must be able to clearly explain:<ul><li>How you handled rate limits</li><li>How you prevented duplicates</li><li>How you structured your database</li><li>How you scaled worker processes</li><li>How you handled production failures</li></ul>Applications without demonstrated relevant experience will not be considered.⸻Preferred (Nice-to-Have)<ul><li>Experience with SerpApi or DataForSEO</li><li>Experience with marketing automation systems</li><li>Experience with dialer integrations (VICIdial)</li><li>Docker and basic DevOps knowledge</li><li>Experience handling US-based marketing data</li></ul>⸻Technical Stack<ul><li>Node.js</li><li>PostgreSQL</li><li>Redis + BullMQ</li><li>SERP API integration</li><li>Cron scheduling</li><li>CSV automation</li><li>VPS/cloud deployment</li></ul>⸻Project Deliverables<ul><li>Fully functional mobile-first SERP data engine</li><li>Reliable deduplication and suppression system</li><li>Automated daily VICIdial export</li><li>Stable worker-based architecture</li><li>Scalable configuration for 20k&ndash;50k queries per day</li><li>Documentation of architecture</li></ul>⸻Project TimelineEstimated Duration: 4&ndash;6 WeeksStart Date: Immediate⸻CompensationProject-Based Contract: 200,000 &ndash; 350,000 PKR(Compensation based on experience and portfolio)Potential long-term engagement based on performance.⸻Application ProcessTo apply, include:1. Description of a similar system you built2. Approximate request volume handled per day3. Architecture overview (Queue, DB, retry logic)4. Tech stack usedShortlisted candidates will be given a brief architecture discussion before final selection.Job Type: Contract Contract length: 1-2 monthsPay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

Senior Backend Engineer — SERP Data Pipeline & Lead Automation (Node.js)

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a skilled Data Engineer with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.
You will be responsible for ingesting, cleaning, validating, and structuring complex multi-source financial datasets to enable high-quality time-series model training and analytics.
This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.
Key Responsibilities<ul><li>
Design, develop, and maintain automated ETL/ELT pipelines from CSV/Excel exports within secure enterprise environments.
</li><li>Perform data cleaning, normalization, validation, and integrity checks on financial transaction datasets.
</li><li>Execute entity mapping, currency standardization, and data synthesis across multiple legal entities and G/L accounts.
</li><li>Build exploratory data analysis (EDA) pipelines, including statistical analysis of financial flow patterns and seasonality.
</li><li>Develop feature stores with pre-computed lag and rolling statistics for ML forecasting consumption.
</li><li>Ensure high data quality through validation frameworks and automated integrity checks.
</li><li>Document data pipelines, quality reports, and technical handoff materials for ML Engineering teams.
</li><li>Collaborate closely with ML engineers, domain subject matter experts, and stakeholders.</li></ul> 

Requirements 
<ul><li>
3+ years of hands-on experience building production-grade data engineering pipelines.
</li><li>Strong Python expertise (Pandas, NumPy) and SQL proficiency.
</li><li>Experience using Jupyter notebooks for EDA and reporting.
</li><li>Proven experience handling complex financial datasets (transactions, general ledger, settlements, multi-currency data).
</li><li>Strong knowledge of data validation frameworks and quality assurance methodologies.
</li><li>Experience parsing and processing large CSV/Excel datasets at scale.
</li><li>Familiarity with corporate network security protocols and access control environments.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.
</li></ul>Nice to Have<ul><li>
Financial domain experience (intercompany transactions, treasury operations).
</li><li>Experience preparing time-series datasets for ML forecasting models.
</li><li>Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
</li><li>Experience working with cloud data platforms (AWS S3, GCP BigQuery, Azure Data Lake).
</li></ul>Why Join CodeNinja?<ul><li>
Work on cutting-edge AI and financial forecasting solutions.
</li><li>Collaborate with high-performing engineers and AI specialists.
</li><li>Exposure to enterprise-grade secure environments and global clients.
</li><li>Opportunity to contribute to impactful, data-driven transformation initiatives.
</li><li>A culture that values ownership, growth, and continuous learning.
</li><li>Competitive compensation and career progression opportunities.
</li></ul>Equal Opportunity &amp; Disclaimer
CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, national origin, disability status, or any other characteristic protected by applicable laws.
Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Engineer

CodeNinja Inc.

<div>
 
 About CodeNinja
 
 
 
 
 CodeNinja
 
 is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
 
 
 
 Role Overview
 
 
 
 We are seeking a skilled
 
 Data Engineer
 
 with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.
 
 
 You will be responsible for ingesting, cleaning, validating, and structuring complex multi-source financial datasets to enable high-quality time-series model training and analytics.
 
 
 This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ETL/ELT pipelines from CSV/Excel exports within secure enterprise environments.
 </li>
 <li>
 Perform data cleaning, normalization, validation, and integrity checks on financial transaction datasets.
 </li>
 <li>
 Execute entity mapping, currency standardization, and data synthesis across multiple legal entities and G/L accounts.
 </li>
 <li>
 Build exploratory data analysis (EDA) pipelines, including statistical analysis of financial flow patterns and seasonality.
 </li>
 <li>
 Develop feature stores with pre-computed lag and rolling statistics for ML forecasting consumption.
 </li>
 <li>
 Ensure high data quality through validation frameworks and automated integrity checks.
 </li>
 <li>
 Document data pipelines, quality reports, and technical handoff materials for ML Engineering teams.
 </li>
 <li>
 Collaborate closely with ML engineers, domain subject matter experts, and stakeholders
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building production-grade data engineering pipelines.
 </li>
 <li>
 Strong Python expertise (Pandas, NumPy) and SQL proficiency.
 </li>
 <li>
 Experience using Jupyter notebooks for EDA and reporting.
 </li>
 <li>
 Proven experience handling complex financial datasets (transactions, general ledger, settlements, multi-currency data).
 </li>
 <li>
 Strong knowledge of data validation frameworks and quality assurance methodologies.
 </li>
 <li>
 Experience parsing and processing large CSV/Excel datasets at scale.
 </li>
 <li>
 Familiarity with corporate network security protocols and access control environments.
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Financial domain experience (intercompany transactions, treasury operations).
 </li>
 <li>
 Experience preparing time-series datasets for ML forecasting models.
 </li>
 <li>
 Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
 </li>
 <li>
 Experience working with cloud data platforms (AWS S3, GCP BigQuery, Azure Data Lake).
 
 
 </li>
 </ul>
 
 Why Join CodeNinja?
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI and financial forecasting solutions.
 </li>
 <li>
 Collaborate with high-performing engineers and AI specialists.
 </li>
 <li>
 Exposure to enterprise-grade secure environments and global clients.
 </li>
 <li>
 Opportunity to contribute to impactful, data-driven transformation initiatives.
 </li>
 <li>
 A culture that values ownership, growth, and continuous learning.
 </li>
 <li>
 Competitive compensation and career progression opportunities.
 
 
 </li>
 </ul>
 
 Equal Opportunity &amp; Disclaimer
 
 
 
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, national origin, disability status, or any other characteristic protected by applicable laws.
 
 
 Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund
 </li>
 <li>
 Gym Membership
 </li>
 <li>
 Leaves as per the company policy
 </li>
 <li>
 Company-paid trips
 </li>
 <li>
 Easy Loan Facility for Employees
 </li>
 <li>
 Yearly increment
 </li>
 <li>
 Maternity Benefits (Leaves &amp; WFH)
 </li>
 <li>
 Health Insurance (Maternity covered) - includes spouse and parents (till age 80)
 </li>
 </ul>
</div>

Siemens

<div>Business Development Engineer &ndash; Pakistan, Lahore
We know that a business thrives only when its people are thriving. That's why we always put our people first. Our global and diverse team is eager to support you and challenge you to grow in many ways. Who knows where our joint journey will take you?
Siemens strongly believes in the value of a Digital Portfolio. That&rsquo;s why Smart Infrastructure combines Digital Power Distribution and Digital Building Infrastructure technologies. Our Digital Portfolio enables our customers to experience buildings that are intuitive, comfortable, safe, secure, and energy-efficient.
Our Smart Infrastructure team works to create resilient and sustainable infrastructure. We connect the physical world with the digital world. With the help of data and analytics, we empower our customers to make their energy systems and processes in buildings and industries more efficient and sustainable. Together with our customers, we transform the everyday for a better tomorrow.
Join our Smart Infrastructure Smart Infrastructure Electrification &amp; Automation as Business Development Engineer and help us reimagine the world by finding solutions that make tomorrow a more innovative place.
You&lsquo;ll make a difference by<ul>
<li>Support achievement of order intake, revenue, and gross margin targets for the SI EA CS portfolio.</li>
<li>Identify, qualify, and develop service sales opportunities including maintenance contracts, retrofits, modernization, and digital services.</li>
<li>Support sales strategy execution in line with regional and country business targets.</li>
<li>Maintain strong customer relationships and support key account activities.</li>
<li>Prepare and manage end-to-end service proposals in accordance with Siemens bid management processes</li>
<li>Coordinate with engineering, service operations, supply chain, finance, and legal functions</li>
<li>Ensure accurate costing, pricing, and commercial terms aligned with Siemens profitability and risk guidelines</li>
<li>Support contract negotiations, clarifications, and customer presentations</li>
<li>Ensure timely submission of proposals with high quality and competitiveness</li>
<li>Support technical clarification and solution development for:</li>
<li><ul><li>MV/LV switchgear systems and services</li>
<li>Protection &amp; automation systems</li>
<li>Digital/IoT service solutions</li>
</ul></li><li>Participate in customer meetings, site visits, and technical discussions as required</li>
<li>Ensure proposed solutions meet customer requirements while adhering to Siemens standards</li>
</ul>
Your success is grounded in<ul><li>
Ensure strict compliance with Siemens sales, commercial, legal, and risk management processes</li>
<li>Maintain and update opportunity pipeline in CRM tools</li>
<li>Prepare sales forecasts, order intake reports, and management updates</li>
<li>Support continuous improvement initiatives in sales and proposal processes.</li>
<li>Bachelor&rsquo;s degree in Electrical Engineering
</li><li>4&ndash;7 years of relevant experience in sales, proposals, or service business within power, electrification, or industrial automation sectors</li>
<li>Prior experience in OEM or service-based organizations preferred</li>
</ul>
We offer you<ul><li>
2 to 3 days of mobile working per week as a global standard.</li><li>
Diverse and inclusive culture.</li><li>
An environment where everyone can bring their whole self and feel a sense of belonging.</li><li>
the foundation to develop personally and expertly.</li><li>
Great variety of learning &amp; development opportunities</li></ul>
Transform the everyday with us!
If you are a motivated teammate, eager to learn new things and looking to grow your career in a strong and froward-thinking company, hit apply!. Siemens is dedicated to quality, equality, and valuing diversity, and we encourage applications that reflect the diversity of the communities within which we work. Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.
At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
Please note: Only complete applications can be considered in the selection process.</div>

Business Development Engineer – Pakistan, Lahore

Chai Vision

Omnify Admin Job Title: Omnify Admin Department: Technology &mdash; Data &amp; Business Intelligence Reports To: Director of Data &amp; Business Intelligence Location: Onsite &ndash; Pakistan Office Job Type: Full-Time Salary: $1,500 - $2,000 USD/month About Chai Vision Chai Vision is a fast-growing eCommerce company managing a portfolio of direct-to-consumer (DTC) brands across high-impact categories&mdash;from fitness and wellness to home goods, pet care, children's products, outdoor products, kitchen essentials, and supplements. We scale rapidly on platforms like Shopify, Amazon, and TikTok Shop through a data-driven, community-first approach and a relentless focus on product-market fit. The organization is driven by a data-informed approach to growth, disciplined operational execution, and a commitment to delivering high-quality products and customer experiences at scale. Chai Vision continues to invest in expanding its omnichannel sales strategy and retail presence worldwide, offering team members the opportunity to contribute within a fast-paced, performance-oriented organization focused on sustainable growth and long-term value creation. Role Summary Omnify is ChaiVision's middleware platform &mdash; the critical layer that moves data between SellerCloud, Sage Intacct, Dataself, and the broader reporting and operational infrastructure. Today, there is no dedicated administrator for Omnify. Data flow configuration, connection monitoring, and troubleshooting are handled reactively, creating risk around data freshness, pipeline reliability, and integration drift that only surfaces when downstream reports break or systems fall out of sync. The Omnify Admin will own the health, configuration, and day-to-day operations of the Omnify platform end-to-end. This is a hands-on, operationally critical role for someone who thrives on keeping integrations running, data flowing, and systems connected &mdash; ensuring every team at ChaiVision can trust the data that powers their decisions. What You'll Do Platform Administration &amp; Configuration Own the day-to-day administration of the Omnify middleware platform &mdash; managing configurations, data flow rules, and integration settings Maintain and update integration mappings between SellerCloud, Sage Intacct, Dataself, and other connected systems as business requirements evolve Manage user access, permissions, and security settings within the Omnify platform Ensure platform configurations are documented, version-controlled, and aligned with the organization's data governance standards Data Pipeline Monitoring &amp; Troubleshooting Monitor all data pipelines and integration flows daily &mdash; checking connection statuses, scheduled job completions, and data transfer accuracy Proactively identify and resolve data flow failures, sync errors, and pipeline bottlenecks before they impact downstream reporting or operations Troubleshoot data discrepancies between source and destination systems by tracing issues through the Omnify middleware layer Maintain alerting and monitoring protocols to ensure rapid detection and escalation of critical pipeline failures Cross-System Integration Support Collaborate with the Integrations team (Imran Malik) to ensure data pipeline reliability from Omnify into Dataself and other reporting platforms Support the SellerCloud Admin and Dataself Admin to ensure data flowing through Omnify reaches its destinations accurately and on schedule Coordinate with Finance, Logistics, and Operations teams when integration changes affect their data feeds or reporting outputs Assist with onboarding new data sources or systems into the Omnify integration layer as ChaiVision scales Documentation, Governance &amp; Vendor Management Maintain a comprehensive integration catalog documenting all active Omnify data flows, their sources, destinations, schedules, and owners Keep an admin log of all platform changes, configuration updates, and incident resolutions Liaise with Omnify vendor support for platform-level bugs, upgrades, and configuration assistance Support the Director of Data &amp; BI with platform capacity planning, vendor engagement, and quarterly integration architecture reviews Who You Are You have 3+ years of experience administering middleware, integration, or ETL platforms &mdash; managing data flows between multiple enterprise systems You understand data integration concepts deeply &mdash; APIs, scheduled syncs, data mapping, transformation rules, and error handling are part of your daily vocabulary You are proactive about system health &mdash; you monitor pipelines daily and fix issues before stakeholders notice them You have worked with ERP, e-commerce, or financial systems before and understand how order, inventory, and financial data flows between platforms You are methodical and detail-oriented &mdash; you document every configuration change, every pipeline modification, and every incident resolution You communicate clearly with both technical and non-technical stakeholders, translating integration issues into business impact when escalating Qualifications Bachelor's degree in Computer Science, Information Systems, IT, or a related field 3+ years of experience in middleware administration, data integration, or ETL platform management (Omnify, MuleSoft, Dell Boomi, Informatica, or equivalent) Strong understanding of API integrations, data mapping, and scheduled data synchronization between enterprise systems Experience working with ERP or e-commerce platforms (SellerCloud, Sage Intacct, or similar) is a strong plus Working knowledge of SQL for data validation and troubleshooting Excellent documentation habits and experience maintaining integration runbooks or admin logs Tools &amp; Systems Omnify &middot; SellerCloud &middot; Sage Intacct &middot; Dataself &middot; SQL &middot; Microsoft 365 (Teams, Excel, SharePoint) &middot; Monday.com Why Work With Us Competitive salary and performance-based growth Work in a fast-growing global eCommerce company with real ownership Collaborative, high-energy environment where ideas become action Opportunity to build and lead systems that drive company-wide impact Holiday and birthday gifts &mdash; we celebrate our people Real room to grow as we scale &quot;If you thrive in a fast-paced, data-driven environment and want to make a real impact at a growing eCommerce company, you'll love working here!&quot;

Omnify Admin

Explore 651+ Data pipeline engineer in Lahore this March. Find roles across top companies and apply now to boost your career.

651 data pipeline engineer jobs In Lahore

Senior Data Integration Engineer

Data Engineer, Tech

Senior Backend Engineer — SERP Data Pipeline & Lead Automation (Node.js)

Data Engineer

Data Engineer

Business Development Engineer – Pakistan, Lahore

Omnify Admin