Accordion Senior Data Engineer

Company overview
Accordion is a global financial consulting and technology firm helping CFOs and their teams drive value creation. Rooted in private equity rigor and powered by data, analytics, and AI, we partner with companies across industries to turn insight into impact.

Accordion works at the intersection of Private Equity sponsors and portfolio companies’ management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data, analytics and AI.

Accordion is headquartered in New York City with 10 offices worldwide, including the India office
based out of Hyderabad. Join us and make your mark on our company.

Data & Analytics (Accordion | Data & Analytics)
Accordion's Data & Analytics (D&A) practice in India delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

D&A team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

Working at Accordion in India means joining 800+ analytics, data science, finance, and technology experts in a high-growth, agile, and entrepreneurial environment to transform how portfolio companies drive value. It also means making your mark on Accordion’s future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together.

Join us and experience a better way to work!

Location:

Hyderabad, Telangana

Role Overview :
The Senior Data Engineer at Accordion is responsible for designing and developing robust, scalable
data platforms that power analytics and AI-driven decision-making across client organizations. This
role requires hands-on expertise in cloud-native data architecture, modern warehousing, and pipeline development, with the ability to independently lead work streams and mentor junior engineers.

The Senior Data Engineer will take an AI-first approach to every engagement — leveraging AI
development tools to accelerate delivery, building data infrastructure that is AI-ready by design, and contributing to MCP (Model Context Protocol) server builds that expose data capabilities to AI agents and LLM-powered workflows.

What You will do:

Partner with client stakeholders to understand business requirements and contribute to designing cloud-native data platform architectures that meet current and future needs.
Implement modern data integration patterns: ELT/ETL orchestration, streaming pipelines, and real-time data processing.
Implement data solutions on technology-agnostic, cloud modern data platforms such as Microsoft Fabric, Snowflake, Databricks, Big Query, and Redshift.
Build data infrastructure that is AI-ready by design – ensuring proper governance, lineage, and accessibility patterns that enable downstream AI and analytics consumption.
Contribute to the build and deployment of MCP (Model Context Protocol) servers to expose data platform capabilities as tools consumable by AI agents and LLM-powered workflows, where applicable.
Integrate/leverage AI tools (Claude, Git Hub Copilot, Cursor, or similar) responsibly to accelerate pipeline development, code reviews, and documentation.
Collaborate with multiple stakeholders to define KPIs, data models, and metrics frameworks aligned with client goals.
Partner with Project Managers to develop and execute project plans within agreed schedules and timelines.
Conduct knowledge transfer sessions and mentor junior engineers.
Stay current on emerging cloud platforms, data tools, and AI ecosystem developments.

Ideally, you have:
An undergraduate degree (B.E/B.Tech.) from a tier-1 or tier-2 institution.
3–6…