Job Overview:

Our client is a renowned global banking and financial services organization delivering enterprise-scale cloud, data, and digital transformation programs. The organization offers a collaborative setting, up-to-date technology stack, long-term growth opportunities, and opportunities to work on high-impact platforms supporting millions of users worldwide. We are seeking an experienced Analytical Engineer with strong expertise in Data Analysis, Data Modelling, SQL, and enterprise data platforms.

Detailed Job Description:

This role involves translating business requirements into analytics-ready datasets, implementing robust data models, ensuring data quality, and supporting enterprise reporting and analytics initiatives. You will work closely with business analysts, data architects, and engineering teams within a mission-critical enterprise cloud and data transformation program.

Key Responsibilities:
Translate business requirements into well-structured, analytics-ready data models and datasets
Design and implement Data Vault 2.0 and dimensional (star/snowflake)



data models for enterprise reporting
Write and optimize complex SQL queries for large-scale data transformation and analysis
Perform data profiling, validation, and quality checks to ensure accuracy and consistency across pipelines
Establish and enforce data governance standards, definitions, and lineage documentation
Collaborate with Cloud Data Engineers to build and validate pipelines within Azure and Databricks environments
Partner with business stakeholders to define KPIs, metrics, and reporting requirements
Support enterprise BI and analytics teams with curated, trusted datasets
Document data models, business logic, and transformation rules for audit and governance purposes

Mandatory Technical Skills:

Data Analysis, Advanced SQL, Data Modelling, Data Vault 2.0, Dimensional Modelling, Data Governance, Data Profiling, Data Validation, Azure, Databricks

Preferred Skills:

Business

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