Sr Associate Data Engineer - Consumer Products AI

Mployee.me; Delhi; Vor Ort; INR 900.000 - 1.600.000; Vollzeit

Zusammenfassung

Bain in New Delhi/India is seeking a BCN Senior Associate to design and implement scalable data solutions, pipelines, and analytics for enterprise clients. You will work with Strategy Ops leadership and case teams to deliver high-impact, automated data capabilities.

You will design data models, validate data quality, and mentor junior engineers while aligning with onshore teams across US hours. Strong SQL, Python, and data warehousing skills are essential.

Qualifikationen

• 6+ years in Data Engineering, Data Management, BI, or Analytics with hands-on SQL, Python, data warehousing, and relational design.
• Graduate/postgraduate from a top-tier institute, or completed a statistical/analytical course from a Tier 1 university.
• Quantitative concentration is strongly preferred (Engineering, CS, Econometrics, Analytics, or Market Research).

Aufgaben

• Write and optimize SQL queries and transformations for metrics, data checks, and client deliverables.
• Operationalize benchmarking cycles, build cohorts, calculate benchmarks, and publish results.
• Design data cleaning rules to improve validity across the benchmark database.
• Scope, design, and build platform features to strengthen data pipelines and validation tooling.
• Make schema and architecture decisions across ingestion, computation, and benchmarking pipelines.
• Gather requirements from Strategy Ops and translate them into scalable data models and outputs.
• Investigate data issues, identify root causes, and propose effective solutions.
• Prepare technical documentation for maintenance and knowledge transfer.
• Coordinate with onshore teams, manage stakeholders, and track progress.
• Provide technical guidance to juniors and drive reusable capability building.

Kenntnisse

Advanced SQL

Python

ETL concepts

Data warehousing

AWS

Data modeling

Architecture decisions

GitLab/CI-CD

Stakeholder coordination

Technical leadership

Ausbildung

Graduate/Postgraduate from a top-tier institute

Statistical/analytical course from Tier 1 university

Tools

SQL Server

GitLab

Jobbeschreibung

About Us

Bain Company is a global management consulting firm that helps the worlds 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 Expert Client Delivery (ECD). ECD plays a critical role as it adds value to Bains case teams globally by supporting them with analytics and research solutions across all industries and specific domains for corporate cases, client development, private equity diligence, or Bain intellectual property.

The BCN comprises Consulting Services, Knowledge Services, and Shared Services.

About You

This role requires strong hands-on experience in SQL, Python, relational data modeling, and data warehousing. The candidate will design and implement data pipelines, data models, and validation workflows, and is expected to scope features and make architecture decisions rather than execute only within a pre-defined scope.

The role includes active participation in project planning, stakeholder communication, and quality assurance to support timely delivery of high-impact work. Full-week coverage is required, with overlap into US working hours to support the onshore team.

The BCN Senior Associate will work closely with team managers, OPEXEngine Strategy Ops leadership, Bain case teams, and external customers to build and deliver scalable, automated, and commercially relevant data solutions.

The working style of the team is centered on scalable product and capability development; therefore, pipelines and data solutions built in this role should be robust, automated, and designed for long-term maintainability. The individual should also be comfortable creating structure in ambiguity.

What Youll Do

• Write and optimize SQL-based queries and transformations to support metric calculations, data checks, and deliverables for Bain case teams and external customers.


• Operationalize the annual benchmarking cycle: build cohorts from defined selection criteria, calculate benchmarks and quartiles, validate the output, and ensure it is published to the platform.


• Design and execute data cleaning rules that improve structural validity across the benchmark database.


• Scope, design, and build platform features that strengthen the data pipeline, such as validation tooling that flags taxonomy breaks and percentile performance views across the database.


• Make schema and architecture decisions across the ingestion, metric calculation, and benchmarking pipeline, ensuring solutions are scalable, automated, and maintainable.


• Gather business requirements and process knowledge from Strategy Ops, and translate them into scalable data models, transformations, and outputs aligned to end-user needs.


• Investigate data issues within the pipeline, identify root causes, communicate implications to stakeholders, and propose effective solutions.


• Prepare clear technical and process documentation for ongoing maintenance, knowledge transfer, and future reference.


• Manage communication with onshore teams and stakeholders regarding project progress, data quality, and key insights.


• Support project planning and resource management, including prioritization, work allocation, and tracking progress across concurrent initiatives.


• Provide technical guidance and day-to-day support to junior team members, review output for quality, and drive reusable capability building through shared assets, frameworks, and documentation standards.

Qualifications and Experience

• Work Experience: 6+ years of experience in Data Engineering, Data Management, Business Intelligence, or Business Analytics, with strong hands-on experience in SQL, Python, data warehousing, and relational database design.


• Education Required: Incumbent should be a graduate/postgraduate from a top-tier institute or have pursued a statistical/analytical course from a Tier 1 university.


• Preferred: Concentration in a quantitative discipline such as Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred.

Knowledge, Skills and Abilities Required

• Advanced SQL knowledge (complex queries, stored procedures, performance tuning, optimization, etc.).


• Strong hands-on Python for data processing, validation, automation, and scripting.


• Strong understanding of ETL concepts, data warehousing principles, and relational database architecture, with hands-on experience on SQL Server or a comparable relational database.


• Working knowledge of cloud technologies, preferably AWS (e.g., EC2, RDS, CloudWatch).


• Strong understanding of data modeling, schema design, and scalable data pipeline architecture.


• Ability to independently scope features, design solutions, and make architecture decisions, including where requirements start out ambiguous.


• Experience with Git-based version control and CI/CD workflows; GitLab experience preferred.


• Experience coordinating projects, managing resources, and driving execution across multiple stakeholders.


• Ability to provide technical leadership, coach junior team members, and review output for quality and accuracy.


• Strong organizational skills, including planning, prioritization, and time management.


• High attention to detail and commitment to data quality.


• Passion for solving complex data problems and working with large, diverse data sets.


• Ability to quickly learn new tools, technologies, and business contexts.


• Good to have (not mandatory): SaaS domain expertise or PL fluency, and prior experience with benchmarking or survey-based data sets.


• Good to have (not mandatory): Familiarity with PHP or JavaScript/React for full-stack contribution, and exposure to LLM/API integration.

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 Glassdoors 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 are 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 individuals, and parents.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.