This role is focused on supporting the development, integration, analytics, and technical onboarding of AI, digital, and fintech solutions. The Engineer will ensure technical readiness, smooth implementation, and successful delivery of these solutions. The position involves hands-on development, API integration, ETL/data engineering, big data platform management, analytics dashboard creation, and technical assessment of digital products. Collaboration with internal teams, technology stakeholders, vendors, and partners is essential to drive end-to-end technical implementation and delivery.

Key Responsibilities

- Develop and maintain applications, analytical views, dashboards, and technical solutions using Python, Node.js, MERN stack, and other relevant technologies.
- Design and integrate REST APIs, manage application architecture, authentication, data exchange, and troubleshoot integration issues.
- Create Python scripts for automation, data processing, reporting, and operational needs.
- Support ETL/ELT processes, data ingestion, transformation, and pipeline development across multiple data sources, ensuring data quality.
- Work with big data platforms such as Apache Kafka, HDFS, Spark, Hive, Vector Databases, and Data Lakes.
- Develop analytical dashboards and visualization solutions using Tableau, Node.js, and other tools to translate business requirements into actionable insights and KPIs.
- Conduct technical assessment, integration, and onboarding of AI, GenAI, digital, and fintech products by understanding product architecture, APIs, infrastructure, data flows, security, and operational dependencies.
- Coordinate end-to-end technical onboarding and implementation by collaborating with partners, vendors, and internal teams including Technology, Infrastructure, Security, SOC, and Network.
- Monitor technical prerequisites, deployment activities, testing/UAT, production readiness, security compliance, documentation, and operational handover to ensure timely delivery.
- Identify technical gaps, dependencies, risks, and challenges, driving resolution through stakeholder coordination.
- Serve as the technical liaison between internal teams and external partners/vendors, facilitating discussions, clarifications, solution walkthroughs, and planning.
- Prepare technical documentation, progress reports, dashboards, and management presentations to support delivery tracking and stakeholder alignment.

Required Qualifications

- 3–5 years of hands-on experience in software development, data engineering, analytics, technical solutions, or digital technology delivery.
- Proficiency in Python, Node.js/MERN stack, API integration, scripting, and application development with strong troubleshooting skills.
- Experience with ETL/ELT processes, data pipelines, SQL, and integration across multiple data sources.
- Working knowledge of big data technologies including Apache Kafka, HDFS, Spark, Hive, Vector Databases, and Data Lake architectures.
- Experience developing analytical dashboards and visualization tools such as Tableau and Node.js, with a solid understanding of KPIs, data modeling, and business analytics.
- Good understanding of AI/GenAI concepts, digital platforms, fintech solutions, and emerging technologies, with the ability to assess technical feasibility.
- Ability to comprehend end-to-end solution architecture, identify technical dependencies, and coordinate implementation across application, data, infrastructure, integration, and security layers.
- Experience in technical onboarding, integration, deployment, or delivery of digital products, preferably in telecom, fintech, cloud, big data, or enterprise technology environments.
- Strong interpersonal skills to build positive relationships with internal teams, external partners, and vendors while managing multiple technical workstreams.
- Demonstrated ownership and accountability to independently drive technical activities from requirement gathering through implementation, testing, and handover.
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field.

Preferred Qualifications and Benefits

Joining JazzWorld means becoming part of Pakistan’s largest digital operator, serving over 100 million customers with connectivity, digital services, financial inclusion, entertainment, and insurance. The company is a certified Top Employer, recognized for workplace standards aligned with global benchmarks. JazzWorld fosters an open culture with forward-looking leadership, meaningful work, and continuous learning opportunities.

The organization’s core values—Customer Obsession, Truthfulness, Innovation, Collaboration, and Entrepreneurial spirit—drive decision-making and leadership. Employees are encouraged to challenge conventions, act with accountability, work as one team, and create impactful solutions.

At JazzWorld, the shared ambition is to enable a Better Life For All by expanding access, unlocking opportunities, and building a more connected digital future. This role offers the chance to contribute to national-scale transformation and be part of a dynamic, inclusive environment that values diversity and equal opportunity.

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Age:
18 - 65 Years
Minimum Education:
Bachelors
Career Level:
Mid-Level
Maximum Experience:
2 Years
Apply Before:
Oct 23, 2026
Posting Date:
Oct 17, 2026

PMCL-JAZZ

· 11-50 employees - Lahore

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