Division Overview

The Identity and Access Management (IAM) team is part of the Cyber Information Security Division and is responsible for implementing, operating, and managing access within the enterprise IT infrastructure. The primary mission is to ensure that each individual has access to the right resources at the right time for the right reasons, while responding to rigorous regulatory compliance requirements. Services include user lifecycle management, privileged access management, and security advisory services.

Role Description

As a Senior Data Engineer, you will work closely with the Lead Data Architect across multiple delivery streams focused on designing, developing, testing, and launching data-related features that support enterprise security solutions. You will assist in creating and documenting an integrated end-to-end data model that ensures data consistency, integrity, and automation across the ecosystem.

This hands-on role includes:

Building and Scripting: Developing database objects and loading/extracting data from SQL Server via repeatable PowerShell scripting, ETL tooling (such as Azure Data Factory), or API calls.
Documentation: Creating standard templates such as Entity Relationship Diagrams (ERDs), Detailed Functional Designs, and Detailed Technical Designs.
Testing & Validation: Building solutions in test environments and ensuring they pass formal testing stages with internal stakeholders.
Operational Handover: Performing knowledge sharing and providing technical documentation (e.g., "cookbooks") to infrastructure operations teams.
Production Support: Supporting migrations to production infrastructure and providing warranty support, including bug fixes and change requests.

Technical Skills and Experience

A combination of the following is required:

Data Modeling: 5+ years of experience in Data Architecture, Data Modeling (including tools like ERWIN), and Data Engineering.
Automation: 5+ years of experience using PowerShell for automating tasks and processes in a Windows environment.
SQL Mastery: 5+ years of experience with SQL Server, specifically writing and maintaining Stored Procedures for extraction and transformation.
Product Lifecycle: Experience with at least 5 full software development lifecycle product launches, including handover to operations.
ETL & Metadata: 3+ years of experience with ETL concepts (Azure Data Factory preferred) and 1–2 years with data dictionary or lineage tools like Collibra.
Security Awareness: Familiarity with security mechanisms across Windows, Linux, SQL Server, and Oracle, along with an understanding of access control principles like segregation of duties.
Industry Compliance: Understanding of the conduct and compliance needs inherent to a regulated financial institution.

Interpersonal & Soft Skills

Communication: Excellent written and verbal English skills are mandatory.
Problem Solving: An analytical mindset that focuses on identifying solutions rather than just highlighting problems.
Adaptability: Capable of working in an environment with continuous change and evolving service needs.
Collaboration: A diplomatic attitude with the ability to leverage influence and negotiate to achieve defined goals.