Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE

Mashreq; Karachi Division; On-site; PKR 892,800 - 1,339,200; Full time

Job summary

A leading banking institution in Karachi is seeking a Data Engineer to design and maintain data pipelines. The role involves creating data strategies and architectures, overseeing data solutions for various banking functions, and ensuring efficient data management across UAE, Egypt, and Pakistan. Candidates should have experience with core systems and data-intensive applications that influence banking operations and regulatory reporting.

Qualifications

• Knowledge of core systems, payment systems, digital journeys, and marketing systems.
• Experience with data-intensive systems across different regions.

Responsibilities

• Design and maintain data pipelines for real-time and batch processing.
• Create data strategy and architecture, leading strategic improvements.
• Develop new requirements for on-premises and cloud data lakes.

Job description

Overview

Data & Analytics Driven Organization: One Data Analytics & AI Business Unit drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. Wholesale & Ops Data team is a stream within One Data Organization driving this agenda for Wholesale & Ops Banking function.

Responsibilities

• Data Engineer will design and maintain data pipelines of real-time and batch, create data strategy, data architecture, best practices and lead the organization in making strategic improvements in the data engineering solutions.
• This role requires knowledge of core system, payment systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan and other IBG regions etc.
• Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
• The work involves developing new requirements in both on-premises and cloud data lake’s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank’s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.