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

Mashreq Bank PSC; Pakistan; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

Mashreq Bank PSC is seeking a Data Engineer to design and maintain data pipelines for real-time and batch processing within its Data & Analytics organization. The role spans the Enterprise Data Lake, Azure Data Lake, BI, and real-time streaming platforms, supporting data-driven decision making across UAE, Egypt, Pakistan and other IBG regions.

You will develop data strategy, data architecture, best practices and lead improvements in data engineering solutions, handling on-premises and cloud data

Qualifications

• Design and maintain data pipelines (real-time and batch).
• Familiar with core systems, payment systems, digital journeys, marketing systems, risk and compliance systems.

Responsibilities

• Lead data engineering improvements and set best practices.
• Handle on-premises and cloud data lakes and regulatory/operational reporting.

Skills

Data pipelines (real-time & batch)

Data architecture

Data strategy

Tools

Azure Data Lake

Enterprise Data Lake

BI platforms

Realtime Streaming platforms

Job description

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.

• Data Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.
• This role requires to have a 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.