Software Engineer - PBI Data Analytics

Job Description Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Step into the role of Software Engineer - PBI Data Analytics at Barclays, where you'll design, develop, and improve business intelligence and reporting solutions using Microsoft Power BI and supporting data technologies, enabling business, platform, and technology capabilities for internal stakeholders. You may be assessed on key critical skills relevant for success in role such as: Build, automate, operate, and govern Power BI datasets, semantic models, reports, and dashboards. Design and develop scalable business intelligence and analytical solutions. Optimize Power BI data models, DAX calculations, refresh processes, and report performance. Design and develop interactive dashboards and reports using Microsoft Power BI Desktop and Power BI Service. Develop optimized data models using DAX measures and calculated columns. Perform data extraction, transformation, and loading using Power Query (M). Translate business requirements into analytical and visualization solutions. Collaborate with data engineers and business stakeholders. Perform data validation and ensure accuracy of reported metrics. Participate in peer reviews and promote BI best practices. Strong hands‑on experience with Microsoft Power BI (Power BI Desktop, Service, DAX). Strong data analysis knowledge. Knowledge on Jira & JQL queries to understand and enhance the existing PBI reports. Expertise in designing efficient schemas and managing complex relationship cardinalities. Knowledge on using an intermediatory data warehouse (Snowflake or SQL server). Essential Skills / Qualifications Strong hands-on experience in Power BI development, including Power BI Desktop, Power BI Service, DAX, Power Query (M), data modelling, dashboards, and report publishing. Strong data analysis skills, with the ability to interpret business requirements, define meaningful metrics, validate data, and communicate actionable insights. Experience integrating, transforming, and modelling data from enterprise sources such as SQL Server, Snowflake, APIs, Excel, and flat files. Practical knowledge of data warehousing concepts, dimensional modelling, data quality, data governance, and secure handling of data. Working knowledge of enterprise data platforms, including data storage, transformation, semantic modelling, analytics, and governed report deployment. Experience optimizing Power BI semantic models and reports for performance, scalability, usability, and maintainability. Ability to collaborate effectively with business stakeholders, data engineers, and technology teams throughout the solution delivery lifecycle. Strong analytical, problem-solving, documentation, and communication skills. Desirable / Good-to-Have Skills Experience with other data analytics and visualization tools, particularly Tableau; exposure to tools such as Qlik or similar platforms is beneficial. Exposure to AI, machine learning, generative AI, or AI-assisted analytics, including awareness of responsible AI principles and practical business use cases. Experience with Python, PySpark, SQL, or other technologies used for data preparation, automation, and advanced analytics. Knowledge of Microsoft Fabric, Power BI Dataflows, Snowflake, Databricks, or similar modern data and analytics platforms. Understanding of data pipelines, dataflows, dimensional models, data warehouse architectures, and migration of legacy reporting solutions to Power BI. Familiarity with Jira and JQL for sourcing, analysing, and enhancing reporting data. Experience working in banking, financial services, or another regulated enterprise environment. You may be assessed on key essential skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune.