Barclays Hiring Software Engineer – PBI Data Analytics in Pune 2026

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Barclays Recruitment 2026 – Software Engineer, PBI Data Analytics in Pune

Barclays is inviting applications for the position of Software Engineer – PBI Data Analytics in Pune, Maharashtra. This role focuses on developing, maintaining and improving business intelligence solutions using Microsoft Power BI and supporting data technologies. Candidates will work with analytical models, interactive dashboards, reporting solutions and enterprise data platforms to help internal stakeholders make informed business decisions.

The position requires strong hands-on knowledge of Power BI Desktop, Power BI Service, DAX, Power Query (M), data modelling and report performance optimization. Knowledge of SQL Server or Snowflake, data warehousing, Jira/JQL and data governance is also relevant. The supplied job description does not specify the salary, minimum years of experience, eligible graduation batches or application deadline.

Quick Job Snapshot

Company Barclays
Role Software Engineer – PBI Data Analytics
Qualification Not specified in the supplied job description; check the official application page
Experience Not specified; the description refers to in-depth technical knowledge and experience
Eligible Batch Not specified
Salary Not disclosed
Job Type Full-time role; confirm employment details on the official listing
Work Mode Not specified in the supplied description
Job Location Pune, Maharashtra, India
Primary Technology Microsoft Power BI, DAX, Power Query, SQL Server/Snowflake
Official Application Barclays Careers

Role Overview

The Software Engineer – PBI Data Analytics will design, develop and improve business intelligence and reporting solutions using Microsoft Power BI and related data technologies. The role involves turning business requirements into meaningful reports, dashboards, data models and analytical solutions.

The successful candidate will help build and govern Power BI datasets, semantic models, reports and dashboards. They will also optimize DAX calculations, data refresh processes and report performance while working with data engineers, business stakeholders and technology teams.

Key Responsibilities

  • Power BI development: Build, automate, operate and govern Power BI datasets, semantic models, reports and dashboards.
  • Dashboard design: Develop interactive visualizations using Power BI Desktop and Power BI Service.
  • Data modelling: Design efficient schemas, manage complex table relationships and develop scalable analytical models.
  • DAX development: Create and optimize DAX measures and calculated columns for business reporting requirements.
  • Data transformation: Use Power Query (M) to extract, transform and load data from enterprise sources.
  • Performance optimization: Improve semantic model performance, report responsiveness, data refresh processes and maintainability.
  • Data validation: Verify data accuracy, validate reported metrics and help maintain consistent business definitions.
  • Stakeholder collaboration: Work with business stakeholders, data engineers and technology teams to translate requirements into reporting solutions.
  • Jira and JQL: Use Jira and JQL knowledge to understand and enhance existing Power BI reports, as described in the listing.
  • Governance and quality: Follow data governance, secure data handling, documentation and peer-review practices.
  • Software engineering practices: Support high-quality delivery through testing, secure coding, code reviews and continuous improvement.

Required Skills and Qualifications

1. Microsoft Power BI

  • Hands-on experience with Power BI Desktop and Power BI Service.
  • Strong understanding of DAX, Power Query (M), dashboards and report publishing.
  • Experience developing semantic models and optimizing report performance.
  • Ability to design efficient data models and manage complex relationship cardinalities.

2. Data Analysis and Modelling

  • Ability to interpret business requirements and define meaningful metrics.
  • Experience validating data and communicating actionable insights.
  • Understanding of dimensional modelling, data quality and data governance.
  • Experience integrating and transforming data from sources such as SQL Server, Snowflake, APIs, Excel and flat files.

3. Data Warehousing and Enterprise Platforms

  • Knowledge of data warehouse concepts and enterprise data platforms.
  • Understanding of data storage, transformation, semantic modelling and governed report deployment.
  • Knowledge of SQL Server or Snowflake as an intermediate data warehouse is highlighted in the description.
  • Ability to develop scalable, usable and maintainable reporting solutions.

4. Collaboration and Communication

  • Work effectively with business stakeholders, data engineers and technology teams.
  • Strong analytical, problem-solving and documentation skills.
  • Ability to explain technical findings and reporting outcomes clearly.
  • Attention to detail when validating business metrics and analytical results.

Desirable Skills

  • Other BI tools: Tableau, Qlik or similar data visualization platforms.
  • Programming and analytics: Python, PySpark, SQL or other technologies used for data preparation, automation and advanced analytics.
  • Modern data platforms: Microsoft Fabric, Power BI Dataflows, Snowflake and Databricks.
  • AI and machine learning: Exposure to generative AI, AI-assisted analytics and responsible AI principles.
  • Data engineering concepts: Data pipelines, dataflows, dimensional models, data warehouse architecture and migration of legacy reporting solutions.
  • Jira: Familiarity with Jira and JQL for sourcing, analysing and enhancing reporting data.
  • Financial services: Experience in banking, financial services or another regulated enterprise environment.

Salary Insights

Barclays has not disclosed the salary for this specific role in the supplied job description. Compensation may depend on the position’s level, relevant experience, technical skills and the company’s compensation structure. Candidates should refer to the official job listing or recruiter communication for the confirmed salary and benefits.

Why Consider This Barclays Role?

  • Enterprise analytics experience: Opportunity to develop reporting solutions used by business and technology stakeholders.
  • Power BI specialization: Build deeper expertise in DAX, Power Query, semantic models and performance optimization.
  • Modern data ecosystem: Work with enterprise data technologies and concepts associated with SQL Server, Snowflake and governed analytics.
  • Financial technology exposure: Gain experience in a technology environment supporting a major financial services organization.
  • Cross-functional collaboration: Work with business teams, data engineers and technology colleagues throughout the solution lifecycle.

Recommended Learning Resources

Candidates preparing for Power BI and data analytics roles can strengthen their SQL, data analysis and programming fundamentals with the following resources.

SQL and Data Queries

SQL Course and Notes – Review joins, aggregations, subqueries and querying relational data.

Python for Data Preparation

Python Course and Notes – Strengthen programming and data-processing fundamentals.

Data Analytics Foundations

Data Science Complete Course – Review data analysis and analytical concepts relevant to reporting work.

Interview Preparation

Prepare to explain Power BI data modelling, DAX measures versus calculated columns, Power Query transformations, star schemas, relationship cardinality, refresh failures and report performance optimization. Practise SQL queries and examples of translating business requirements into dashboards. Be ready to describe how you validate metrics and handle discrepancies between reports and source data.

Data Analyst Interview Preparation

Data Analyst Roadmap for Beginners

Related Job Opportunities

How to Apply for Barclays Software Engineer – PBI Data Analytics

  1. Open the official Barclays careers listing using the button below.
  2. Read the complete eligibility criteria, job level and any experience or qualification requirements shown on the application page.
  3. Update your resume to highlight Power BI Desktop, Power BI Service, DAX, Power Query, data modelling, SQL Server or Snowflake, data validation and report optimization experience, where applicable.
  4. Include relevant Power BI projects that demonstrate interactive dashboards, data transformations, meaningful KPIs and performance improvements.
  5. Submit your application through the official Barclays recruitment portal and follow the instructions provided.

Apply on Barclays Careers

Frequently Asked Questions (FAQs)

1. What is the qualification required for the Barclays PBI Data Analytics role?
The supplied job description does not specify a required degree or academic qualification. Review the official application page for the complete education and eligibility requirements.

2. What technical skills are important for this Software Engineer position?
The key skills include Power BI Desktop, Power BI Service, DAX, Power Query (M), data modelling, dashboard development, report performance optimization and data analysis. SQL Server or Snowflake, Jira/JQL and data governance are also relevant.

3. What are the salary, experience requirement and work mode?
The role is based in Pune, India. The supplied description does not disclose the salary, minimum years of experience or work mode. Check the official Barclays listing for the latest details.

If you have Power BI development and data analytics skills, review the official listing to confirm the requirements before applying. Share this opportunity with candidates interested in business intelligence and analytics careers.

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