Data & Power BI Engineer

Data & Power BI Engineer

About Role:

As a

Data and Power BI Engineer , you will make an impact by designing and delivering enterprise-grade reporting and analytics solutions that support critical business and regulatory decision-making within a complex financial services environment. You will be a valued member of the banking technology team, working collaboratively with Product Owners, Business Analysts, and cross-functional stakeholders to transform raw data into strategic insights that drive decisions at scale.

This is not just a technical role — it is a high-impact position where your expertise in data modelling, semantic layers, and cloud-native analytics will directly shape how the business understands and acts on its data. You will operate at the intersection of data engineering and business intelligence, supporting regulatory reporting, performance analytics, and enterprise data quality across multiple applications.

How You Will Make an Impact

Design and develop enterprise data models

using Star Schema (preferred) and Snowflake Schema approaches that form the backbone of scalable, high-quality reporting solutions

Build and maintain Azure Synapse Analytics-based data solutions , including ELT and T-SQL data transformation processes that ensure reliable data flow from source to insight

Develop rich Power BI reports, dashboards, DAX calculations, and tabular models/cubes

that translate complex business requirements into intuitive, decision-ready visuals

Collaborate closely with Product Owners and Business Analysts

to capture and convert reporting requirements into scalable data products across multiple banking applications

Maintain and support centralized reporting environments , including SSRS and Tableau solutions, ensuring data quality and consistency across the full analytics landscape

Requirements

What You Must Have

Hands-on experience building data pipelines, using Azure Data Factory, Synapse pipelines or Databricks. The candidate should be able to talk through a pipeline they built themselves, and not only one they monitored or supported.

Databricks or Azure Synapse used in an actual project, and not only listed under skills. For Databricks we would look for PySpark and Delta Lake, and for Synapse, SQL pools and pipelines.

Strong expertise in

SQL Server / T-SQL

and ELT-based data transformation and data engineering concepts

Proven track record in

enterprise data modelling , including Star Schema (strongly preferred) and Snowflake Schema designs

Extensive experience developing

Power BI reports, dashboards, DAX calculations , and tabular models/cubes for business-critical environments

Bachelor's or Master's degree in

Computer Science, Information Systems, Engineering , or an equivalent field

These Will Help You Stand Out

Working knowledge of

SSRS and Tableau

for centralized and regulatory reporting

Familiarity with

CI/CD practices

as applied to analytics and BI solution delivery pipelines

Relevant professional certifications such as

Microsoft Power BI Data Analyst Associate

or

Azure Data Engineer Associate

Strong

stakeholder collaboration skills

with demonstrated experience working alongside Product Owners and Business Analysts

What We Offer

Competitive salary

aligned with your experience and market benchmarks

International, diverse & inclusive

team culture

Open team spirit

in a technology-driven organisation that values collaboration and innovation

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by applicable law.

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