Associate – Data Engineer (Data Business CoE)
Data Science Analytics & Machine Learning
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Job Description
About us
Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bains case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.
Who you will work with
Pyxis combines alternative data, AI-driven analytics, and institutional investor-led insights to reveal where, how and why consumers buy, how they pay, how much they spend, how their needs and demands are changing, and much more.
By revealing previously opaque fundamental business trends and their drivers, Pyxis enables investors and business decision makers to efficiently allocate capital and address critical problems.
Pyxis has assembled one of the most comprehensive collections of alternative data covering hundreds of millions of people and tens of billions of transactions across the U.S., Canada, Brazil, UK, France and Japan as well as targeted countries across the EU and APAC. This data provides a longitudinal view of consumer and business transactional behaviors—across nearly all verticals over the last six years—and plays an integral role in answering companies’ and investors’ questions about market share, category size, pricing and promotion effectiveness, assortment optimization, ad targeting, loyalty, switching behavior, disruption, and more.
These state-of-the art capabilities enable Bain to provide its clients with a valuable new dimension in investment analysis and strategy development, complementing Bain’s proven “outside-in” approach with the ability to apply complex data sets to assess company fundamentals.
BCN Pyxis modeler will work closely with the BCN team manager, Pyxis Product Manager, General Manager, Bain Partners, and the Proprietary Data group to build and deliver a commercially successful product that spans core sectors across all regions.
The working style of the team would be to support Pyxis product development , hence the pipelines and algorithm built should be scalable and automated to support subscription clients
What you’ll do
- Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities
- Work across workstreams to deliver high-quality, zero-defect deliverables and leverage manager’s support on complex pieces
- Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users
- Provides tool based technical expertise to the junior team members when required
- Builds reusable capabilities that can be used by team members or across service lines
- Write advanced SQL and Python code to build and maintain backend data APIs and services; work hands-on with Snowflake for data transformation, query optimization, and pipeline development
- Ensure that the data architecture is scalable and maintainable
- Design and develop RESTful backend APIs and microservices using Python (FastAPI/Flask) to expose data products and support downstream consumers
- Work with the business in designing and delivering correct, high quality data
- Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions
- Prepare documentation for further reference
- Respond to onshore team/client questions around the data and insights
- Provide ongoing support for subscription customers, such as additional data cuts and responding to questions about the data/methodology
- The working style of the team would be to support product development , hence the pipelines and algorithm built should be scalable and automated
About you
Work experience: 2-4 years of experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in data handling and ETL workstreams
Education Required: Incumbent should be a graduate/post graduate from top-tier institute or have pursued a statistical/analytical course from a tier 1 university
Preferred: Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred.
Knowledge, Skills and Abilities Required:
- Design, develop, and maintain scalable data pipelines using Python and SQL for batch and real-time data processing.
- Build and optimize ETL/ELT workflows to ingest, transform, and load data from multiple source systems.
- Develop and maintain RESTful APIs and data services using FastAPI for data integration and consumption.
- Design, implement, and support enterprise-grade Data Warehouse solutions following dimensional modeling best practices.
- Create and optimize complex SQL queries, stored procedures, and data transformations for analytics and reporting.
- Work extensively with Snowflake to build, optimize, and manage cloud-based data platforms (good to have)
- Utilize Starburst/Trino for distributed query processing, data federation, and high-performance analytics (good to have)
- Ensure data quality, consistency, and reliability through validation frameworks, monitoring, and automated testing.
- Optimize data pipeline performance, query execution, and storage utilization across large-scale datasets.
- Collaborate with business stakeholders, data analysts, and engineering teams to gather and translate data requirements.
- Implement data governance, security, access controls, and compliance standards across data platforms.
- Troubleshoot production data issues, perform root-cause analysis, and implement preventive solutions.
- Leverage cloud-native technologies and best practices for scalable, resilient, and cost-effective data architectures.
- Maintain technical documentation, data lineage, and operational runbooks while following Agile development methodologies.
What makes us a great place to work
We are proud to be consistently recognized as one of the worlds best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoors list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.
Skills
Business AnalyticsPythonData ArchitectureData GovernanceData IntegrationEtlData ProcessingSnowflakeAnalyticsData ManagementFlaskAiSqlFastapiData EngineerIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Bain & Company India Careers 2025
Bain & Company is a global management consulting firm known for its deep client partnerships, results-driven approach, and collaborative culture. Founded in 1973 and headquartered in Boston, Bain entered the India market in 2006, with offices in New Delhi, Mumbai, and Bengaluru. It serves clients across private equity, consumer products, technology, financial services, and healthcare. Bain India is led by Karan Singh, and is widely regarded for its entrepreneurial culture, flat hierarchy, and impact-oriented case work.
Business Model – Bain operates as a project-based B2B advisory firm, delivering high-impact strategic consulting to CXOs, boards, and investors. Its revenue model is built on fee-based engagements across strategy, performance improvement, digital transformation, and due diligence. Bain differentiates itself through its Results Delivery® methodology, which ensures that recommendations are implemented, not just presented. The firm also runs Vector, its internal digital innovation engine, and the Bain Capability Network (BCN), which supports global teams from India.
Recent Wins & Recognition –
- In 2025, Bain India co-published the India Venture Capital Report 2025, highlighting a 1.4x rebound in VC funding to $13.7B and the rise of generative AI investments across SaaS and fintech. (https://www.bain.com/insights/india-venture-capital-report-2025/)
- Bain advised on multiple quick commerce and consumer tech megadeals, including Zepto and Lenskart, helping shape India’s evolving B2C landscape. (https://www.bain.com/insights/india-private-equity-report-2024/)
- The firm’s Global M&A Report 2025 spotlighted how AI-driven deal sourcing and ESG filters are transforming investment strategies. (https://www.bain.com/insights/global-ma-report-2024/)
- Bain India also expanded its BCN footprint, integrating advanced analytics and sustainability diagnostics into global case teams. (https://www.bain.com/about/global-offices/bain-capability-network/)
Culture & Values – Bain’s core values include client results, one-team collaboration, diversity, and integrity. The firm is known for its supportive work environment, global staffing model, and strong mentorship culture. Bain India actively promotes DEI, runs pro bono consulting for NGOs, and offers flexible career paths through programs like ExperienceBain and True North Sabbaticals.
Client-Facing Domains
Strategy Consulting
What it is – Bain’s flagship offering, focused on solving complex strategic problems for CXOs and boards. India-based roles include:
- Corporate Strategy – Growth, market entry, pricing, and competitive positioning.
- Business Transformation – Turnaround, cost optimization, and operating model redesign.
- Customer Strategy – Loyalty, segmentation, and go-to-market planning.
Private Equity & M&A
What it is – Bain is the global leader in PE consulting, advising on 60%+ of major buyouts worldwide. India-based roles include:
- Commercial Due Diligence – Pre-deal market and competitor analysis.
- Post-Acquisition Strategy – Value creation plans and synergy realization.
- Exit Planning – Strategic reviews and IPO readiness.
Digital & Innovation (Vector)
What it is – Bain’s tech-forward practice combining strategy with digital tools, AI, and design. India-based roles include:
- Digital Transformation – Tech-enabled business model shifts.
- Advanced Analytics – Predictive modeling, machine learning, and data strategy.
- Innovation & Design – Product strategy, UX, and agile delivery.
Bain Capability Network (BCN)
What it is – Bain’s global support hub based in India, powering case teams with research, analytics, and diagnostics. India-based roles include:
- Industry & Competitor Research – Market sizing, benchmarking, and trend analysis.
- Data & Analytics – Excel modeling, Tableau dashboards, and KPI tracking.
- Sustainability & ESG Diagnostics – Carbon footprint analysis and ESG scoring.
Internal Services
What it is – Bain’s enabling functions that support global operations and talent. India-based roles include:
- Talent & HR – Recruiting, onboarding, and career development.
- IT & Knowledge Management – Tech support, database access, and IP protection.
- Finance & Operations – Budgeting, vendor management, and compliance.
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