Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE
Remote Pakistan Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Mashreq Careers. Remote, Pakistan · full-time.
Pay not stated Data Engineering salary
RoleData Engineering
SenioritySenior
LocationPakistan
WorkplaceRemote
EmploymentFull-time
PostedOct 9, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain pipelines for both streaming data and scheduled batch workloads
- Set data direction, architecture and engineering practices, then lead improvements to existing solutions
- Shape new data lake work across on-premises and cloud environments, from effort estimates through design and delivery
- Coordinate releases, resources and deliverables across business groups
- Support data applications used for management decisions, regulatory submissions and operational reports
What you bring
- You bring knowledge of core, payment, digital journey, marketing, risk and compliance systems
- You understand data-intensive systems used across Pakistan, the UAE, Egypt and other IBG regions
Who this fits
This senior role suits someone who can lead data engineering improvements while handling architecture, delivery coordination and critical reporting applications. The position is remote in Pakistan.
From the employer
- 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.
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