Data Engineer
Posted 12 May 2026
Advertised as “Senior Data Engineer ”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
No salary listed for this role.
About Zinnov
Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face:
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Where should we invest?
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How do we scale globally?
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What capabilities will win in the next decade?
Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware.
At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity.
Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations.
About the Role
As a Senior Data Engineer, you will own the data foundation of Zinnov’s GCC Intelligence Platform—building reliable multi-tenant pipelines and KPI-ready datasets across Finance and Hiring domains. Your work enables downstream dashboards and AI agents to operate on clean, reconciled, governed data.
What You’ll Do
Data Pipelines & Medallion Architecture
- Build andmaintainingestion pipelines from source systems (e.g., Dynamics, Workday, Airtable, SFTP feeds).
- Design and implement Medallion pipelines (Bronze → Silver → Gold) across Finance and Hiring data.
- Build reconciliation and gating logic to ensure only validated data reaches Gold.
Multi-tenant Data Modeling
- Design multi-tenant PostgreSQL schemas with row-level security (RLS) for tenant isolation.
- Implement SCD2 patterns for historical tracking of hiring/finance records.
- Build cross-domain enrichment pipelines (e.g., Finance + Hiring joins for cost-per-FTE and related KPIs).
APIs & Platform Integration
- Build and maintain Fast API endpoints consumed by the UI and AI layers.