Lead Data Engineer

COMPANY INTRODUCTION

Emirates NBD is a market leader across the MENAT (Middle East, North Africa and Türkiye) region with a presence in 13 countries, serving over 20 million customers. The Emirates NBD Group has a total of 853 branches and 4,213 ATMs / SDMs. Emirates NBD is the leading financial services brand in the UAE with a Brand value of USD 3.89 billion.

At the bank, we serve our customers and help them realise their financial objectives through a range of banking products and services including retail banking, corporate & institutional banking, Islamic banking, investment banking, private banking, asset management, global markets and treasury, and brokerage operations.

We are a key participant in the global digital banking industry, with 97% of all financial transactions and requests conducted outside of our branches. We also operate Liv, the lifestyle digital bank by Emirates NBD. With close to half a million users, it continues to be the fastest-growing digital bank in the region.

ORGANIZATION UNIT PURPOSE

The unit is responsible for building, implementing and enforcing common structures and guidelines for architecture, development and testing practices in order to enable world-class solutions definition, delivery and build resilient, agile and secured technology landscape aligned with Emirates NBD business strategy.

Achieve a high level of performance and quality in delivering technology governance and solutions that provide exceptional business value to internal users and Emirates NBD customers as well as ensuring common standards and principals across Emirates NBD Group. The unit maintains all guidelines, blueprints and practices for the technical teams working in agile, platform, and Infrastructure & data teams across Group IT.

The unit is responsible for staffing agile and technical teams with the right capable resources, manage the resources learning and development and provide them with the guidance and support to succeed in their roles.

JOB PURPOSE

The  Lead Data Engineer  will work very closely with the HOD and other lead architects/engineers and is responsible to push forward the Data Management/Analytics vision and strategy to deliver common, secure and consistent data capabilities across the Emirates

NBD Group. This role will engage is strategic initiatives and reports into Head of Data Engineering Chapter and will manage the Data architecture/engineering and design of related approaches, tools and technologies.

The primary task is to drive and transform the data capabilities and enable a data-driven culture across the group and therefore work with other architects and platform teams to ensure data is managed as an asset in a centralized, standardized, and consistent manner in order to maintain consistency and quality, using mature technologies and emerging data practices.

This role requires an understanding of various data engineering and processing related technologies and choices, has a deep understanding of both SQL/No-SQL technologies, distributed computing framework, and techniques to make right tools and technology choices.

Main Tasks

Develop data architecture/engineering vision and standards in conjunction with business users and stewards.
Outline short-term incremental solutions to achieve long-term objectives and an overall data management roadmap.
Create data exchange standards to ensure reusability and a decoupled architecture.
Create standards for data archival and purging.
Identify and drive the implementation of secured data solutions.
Develop data access matrix and ensure right information reaches the right people through secured channels.
Develop strategy to align with external regulatory requirements.
Identify and document critical data elements across source system of records.
Define and document the data quality rules and standards.
Assess and define data governance and stewardship maturity roadmap.
Work with data engineers and source system experts to define the standards and principles for capturing lineage and data flow.
Define data exception handling processes.
Define standards for data pipeline scheduling and monitoring.
Provide technical recommendations and engage with…