Azure Data & Power BI Engineer

ph3Data Power BI Engineer /h3 h3About Role: /h3 pAs a bData and Power BI Engineer /b, 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. /p pThis 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. /p h3How You Will Make an Impact /h3 ul libDesign and develop enterprise data models /b using Star Schema (preferred) and Snowflake Schema approaches that form the backbone of scalable, high-quality reporting solutions /li libBuild and maintain Azure Synapse Analytics-based data solutions /b, including ELT and T-SQL data transformation processes that ensure reliable data flow from source to insight /li libDevelop rich Power BI reports, dashboards, DAX calculations, and tabular models/cubes /b that translate complex business requirements into intuitive, decision-ready visuals /li libCollaborate closely with Product Owners and Business Analysts /b to capture and convert reporting requirements into scalable data products across multiple banking applications /li libMaintain and support centralized reporting environments /b, including SSRS and Tableau solutions, ensuring data quality and consistency across the full analytics landscape /li /ul h3Requirements /h3 h3What You Must Have /h3 ul liHands-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. /li liDatabricks 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. /li liStrong expertise in bSQL Server / T-SQL /b and ELT-based data transformation and data engineering concepts /li liProven track record in benterprise data modelling /b, including Star Schema (strongly preferred) and Snowflake Schema designs /li liExtensive experience developing bPower BI reports, dashboards, DAX calculations /b, and tabular models/cubes for business-critical environments /li liBachelor's or Master's degree in bComputer Science, Information Systems, Engineering /b, or an equivalent field /li /ul h3These Will Help You Stand Out /h3 ul libWorking knowledge of SSRS and Tableau for centralized and regulatory reporting /b /li libFamiliarity with CI/CD practices as applied to analytics and BI solution delivery pipelines /b /li libRelevant professional certifications such as Microsoft Power BI Data Analyst Associate or Azure Data Engineer Associate /b /li libStrong stakeholder collaboration skills /b with demonstrated experience working alongside Product Owners and Business Analysts /li /ul h3What We Offer /h3 ul libCompetitive salary aligned with your experience and market benchmarks /b /li libInternational, diverse inclusive team culture /b /li libOpen team spirit /b in a technology-driven organisation that values collaboration and innovation /li /ul pCognizant 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. /p /p #J-18808-Ljbffr