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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

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

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>

ASK Development

Key Responsibilities<ul><li>Configure, manage, and support SAP PM module Master Data</li><li>Coordinate with maintenance teams to ensure timely creation and closure of work orders and notifications.</li><li>Monitor asset performance and support data-driven maintenance planning.</li><li>Generate reports on equipment performance, downtime, labor hours, and material consumption.</li><li>Develop and maintain equipment master data, functional locations, and task lists.</li><li>Conduct training for maintenance staff on SAP usage and process adherence.</li><li>Collaborate with Procurement and Finance for material and service planning linked to maintenance.</li><li>Ensure compliance with internal maintenance SOPs and external audit requirements.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Engineering, Information Technology, or related field.</li><li>Minimum 3 years of experience in SAP Plant Maintenance module.</li><li>Strong understanding of maintenance workflows and equipment life cycle management.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and team coordination abilities.</li></ul>Preferred Skills<ul><li>Experience in utility/facility/infrastructure maintenance.</li><li>Working knowledge of integration between PM, MM, and FI modules.</li><li>SAP S/4HANA experience is a plus.</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs90,000.00 per monthAbility to commute/relocate:<ul><li>Lahore Secondary Board: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Facilities Maintenance Engineering: 3 years (Required)</li></ul>Work Location: In person

SAP Master Data Engineer

Devsinc

<div>
 Devsinc is on the lookout for a talented
 
 Software AI Engineer
 
 to join our innovative team. In this role, you will be responsible for designing, developing, and deploying AI models and machine learning algorithms that enhance our software products and services. You will collaborate with cross-functional teams to integrate AI solutions into applications, driving efficiencies and improving user experiences.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement AI and machine learning models to solve complex problems
 </li>
 <li>
 Collaborate with data scientists and software engineers to integrate AI capabilities into existing products
 </li>
 <li>
 Analyze large datasets to discover patterns, trends, and insights that can drive business decisions
 </li>
 <li>
 Optimize and improve existing machine learning algorithms to enhance their performance
 </li>
 <li>
 Stay up to date with the latest advancements in AI technologies and implement best practices
 </li>
 <li>
 Participate in code reviews and contribute to the development of software standards and guidelines
 </li>
 <li>
 Communicate effectively with technical and non-technical stakeholders to explain AI concepts and technologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 2+ years of experience in software engineering with a strong focus on AI and machine learning
 </li>
 <li>
 Proficiency in programming languages and Databases such as Python, Django, SQL, Postgres, FAST and Flask
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLP, CV and Deep learning)
 </li>
 <li>
 Solid understanding of algorithms, data structures, and statistical analysis
 </li>
 <li>
 Experience with data processing tools and big data technologies (e.g., Hadoop, Spark)
 </li>
 <li>
 Strong analytical and problem-solving skills, with attention to detail
 </li>
 <li>
 Excellent communication skills and ability to work collaboratively in a team environment
 </li>
 <li>
 Knowledge of cloud services (AWS, Azure, GCP) for deploying AI models is a plus
 </li>
 </ul>
</div>

Software AI Engineer

Everllence

<div>
 
 About Everllence
 
 
 
 Everllence, formerly known as MAN Energy Solutions, is a leading provider of propulsion, decarbonization and efficiency solutions for shipping, the energy economy and industry. True to our motto &ndash; &lsquo;Moving big things to zero&rsquo; &ndash; we help key industries in the global economy to reduce hard-to-abate emissions. Our technologies have a measurable impact on the success of the global energy transition. More information about the company can be found at  www.everllence.com. Headquartered in Germany, Everllence employs around 15,000 people across more than 140 sites worldwide.
 
 
 
 We Can Offer You The Following Tasks
 
 
 
 <ul>
 <li>
 Senior Service Engineer is responsible for carrying out service and maintenance in accordance with assigned accountabilities.
 </li>
 <li>
 Perform extensive maintenance, repairs and services on all type of machines (e.g. replacement of vibration dampers, hydraulically pressed cams) in accordance with the specified work cards / documents.
 </li>
 <li>
 Develop timelines and projects completion deadline with line manager; monitor lead time and quality.
 </li>
 <li>
 Write performance requirements for engineering projects.
 </li>
 <li>
 Execute LMRA (Last Minute Risk Analysis) on location before starting work.
 </li>
 <li>
 Correctly use PPE (personal protective equipment) provided.
 </li>
 <li>
 Carry out assembly preparation for upcoming more demanding (extensive) service assignments, e.g. check commissioned spare parts for completeness, allocation and correctness.
 </li>
 <li>
 Follow the service schedule and ensure supply of materials required to maintain machines or equipment in the prescribed condition. Specific compilation of special tools including preparation for dispatch.
 </li>
 <li>
 Read and interpret the blueprints, technical drawings, schematics, or computer generated reports, and ensure that the tools, materials and parts needed are available.
 </li>
 <li>
 Efficiently plan work processes with manpower requirements, determination of assembly procedures on site in accordance with the specified work cards/documents. Thereby be technical instructor, coordinator and advisor of assigned (external) personnel. Coach service technicians and engineers to carry out planning, maintenances commissioning, performance tests, etc.
 </li>
 <li>
 Provide assistance support as a specialist, explaining the technical facts to the customer / contact person for technical questions / representing the company to the customer.
 </li>
 <li>
 Perform major overhauls of various Everllence portfolio engines and / or turbochargers.
 </li>
 <li>
 Support the customer in the coordination of the assembly process, as well as extensive assembly and disassembly of parts / assemblies according to work cards / checklists.
 </li>
 <li>
 Technically coordinate the plants, systems and component findings, if necessary, advise customers on preventive maintenance. Support with commissioning work.
 </li>
 <li>
 Process warranty cases, i.e. make and check customer claims, send parts and personnel if necessary, tracking in alignment with and following approval by HQ.
 </li>
 <li>
 Report incidents, accidents and near-misses according to procedures; investigate equipment failures or difficulties to diagnose faulty operation and recommend remedial actions.
 </li>
 <li>
 Correctly use PPE (personal protective equipment) provided and all HSE relevant material.
 </li>
 <li>
 Create reports and handle standard and special software. Analyze the maintenance data and make suggestions for improvement.
 </li>
 <li>
 Implement enforcing and monitoring standard maintenance and HSE policies and procedures according to Ecellence standards guideline, resolve system malfunctions, and provide technical information.
 </li>
 <li>
 Develop technically optimized solutions.
 
 
 </li>
 </ul>
 
 You Can Help Us With These Qualifications
 
 
 
 <ul>
 <li>
 Mechanical Engineering Degree from well reputed University or equivalent
 </li>
 <li>
 5 + years of related experience, preferably in the power industry or captive power plant/marine
 </li>
 <li>
 Detailed understanding of the business both technical and commercial levels
 </li>
 <li>
 Principles of work preparation/ project management; leadership
 </li>
 <li>
 Health and safety, environmental, quality and safety requirements
 </li>
 <li>
 Prepared to travel worldwide.
 </li>
 <li>
 Knowledge in technical report writing with Microsoft Office
 
 
 </li>
 </ul>
 
 Contact us
 
 
 
 
 That is important to us
 
 
 
 Integrity and compliance are essential elements of our corporate culture. We firmly support diversity and equal opportunities and are therefore looking forward to receiving a diverse range of applications.
</div>

Senior Service Engineer – Karachi Pakistan

Saif General Store, Rohillanwali

LEAD AUTOMATION ENGINEER (Data Routing &amp; n8n)Company: NEWAX TECHNOLOGIES (SMC-PRIVATE) LIMITEDEntity Type: Premier Digital Infrastructure FirmThe Mandate: Newax Technologies is not another digital vendor; we are an Enterprise Automation Solution Provider. We build independent digital ecosystems for our clients across 8 key sectors. We do not rely on basic Zapier workflows or expensive third-party SaaS. We engineer high-velocity, self-hosted automation infrastructure to give our enterprise clients absolute data sovereignty. We are seeking an Automation Engineer who is obsessed with data routing, API efficiency, and clean logic.Core Responsibilities:<ul><li>Architect, deploy, and maintain complex data routing workflows using self-hosted n8n environments.</li><li>Parse and clean highly unstructured data from legacy systems and format it into structured JSON for real-time CRM ingestion.</li><li>Build custom code nodes within automation workflows to handle edge cases that out-of-the-box integrations cannot process.</li><li>Ensure extreme data velocity and zero-latency execution across interconnected enterprise systems (Supabase, EspoCRM, Next.js hubs).</li><li>Monitor API limits, manage webhooks securely, and troubleshoot workflow failures immediately.</li></ul>Technical Requirements:<ul><li>Absolute mastery of n8n (Self-hosted environments).</li><li>Deep fluency in JavaScript/TypeScript for custom logic.</li><li>Advanced Regex (Regular Expressions) for ruthless data parsing and extraction.</li><li>Expert-level understanding of Webhooks, RESTful APIs, OAuth2, and JSON architecture.</li><li>Ability to map out complex logic trees before writing a single line of code.</li></ul>The Hiring Protocol (Proof of Work ONLY): To claim this seat, complete the following test:The Trial: We will provide a highly unstructured, messy CSV file. You must use n8n to clean the data, format it into structured JSON, and trigger a simulated API alert. Submit your workflow JSON and deployment link.Job Type: Full-timePay: Rs300,000.00 - Rs1,000,000.00 per monthApplication Question(s):<ul><li>Zapier and Make.com are for beginners. We self-host our infrastructure to bypass the 'Automation Tax.' In 3 sentences, explain the architectural difference between running n8n via Docker versus a managed SaaS, and how you would handle persistent volume storage for n8n executions.</li><li>You receive a highly unstructured, messy string payload from a legacy hospital system. You need to extract exactly 4 digits that follow the word 'DiagCode:' but the spacing is inconsistent (e.g., 'DiagCode: 1234', 'DiagCode:1234', 'DiagCode : 1234'). Write the exact Regex pattern you would use in a JavaScript node to extract this safely.</li><li>You are building an n8n workflow that pulls 50,000 rows from our Supabase database and enriches each row via a third-party API that strictly limits requests to 50 per second. How do you architect this in n8n to ensure zero data loss and zero API bans?</li><li>At Newax, we have a strict Sandbox Mandate. No workflow is pushed to production without testing. How do you handle Environment Variables and separated credentials (Dev vs. Prod) within n8n?</li></ul>Experience:<ul><li>Backend Data Engineering, or Systems Integration: 4 years (Required)</li></ul>Language:<ul><li>Technical English (Fluent) (Required)</li></ul>License/Certification:<ul><li>GitHub/n8n Community Profile or n8n Certification (Preferred)</li></ul>Work Location: In person

LEAD AUTOMATION ENGINEER (Data Routing & n8n)

Explore 586+ Big data engineer in Lahore this March. Find roles across top companies and apply now to boost your career.

586 big data engineer jobs In Lahore

Data Engineer

Data Engineer, Tech

Data Engineer

SAP Master Data Engineer

Software AI Engineer

Senior Service Engineer – Karachi Pakistan

LEAD AUTOMATION ENGINEER (Data Routing & n8n)