Job description
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:
Where should we invest?
How do we scale globally?
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 maintainFastAPIendpoints consumed by the UI and AI layers. • Partner closely with DevOps to deploy orchestrated pipelines on Azure (e.g., Prefect).
** What You Bring **
** Qualifications & Experience **
- 4+ years building production-grade data pipelines. • Strong PostgreSQL: schema design, RLS, triggers, window functions. • Strong Python for pipelines, transformations, and APIs. • Experience with orchestration tooling (Prefect/Airflow or similar). • Hands-on exposure to Medallion architecture and SCD2 in practice.
** Key Skills **
- Data governance mindset—treat pipelines andGoldoutputs as platform contracts. • Strong debugging, performance tuning, and reliability orientation. • Comfort building for scale and reuse in a multi-tenant environment.
** What Success Looks Like – Global Excellence (GE) **
- Data pipelines runpredictably—highreliability, clean promotions to Gold, minimal rework. • Tenant isolation is robust—RLS works consistently and safely at scale. • KPIs are reconcilable—Finance and Hiring views are accurate and auditable. • Downstream teams move faster—AI and UI features ship with confidence due to strong data foundations.
If you enjoy building multi-tenant data foundations, designing pipeline contracts that scale, and enabling AI + dashboards with governed data — this role offers both impact and progression.
Zinnov is an equal opportunity employer.** We celebrate diversity and are committed to building an inclusive workplace. We welcome applications from individuals of all backgrounds, communities, and experiences.