Job title: Engineering Manager — Data & Analytics

Location: Bengaluru (Hybrid — 2 days in office)

Experience: 6–8 years

Employment type: Full time

About the role

We’re looking for an Engineering Manager to lead a team of data engineers and analysts. The split is roughly 80% people management and 20% individual contribution, so you’ll be hands-on enough to make robust technical calls while spending most of your time growing the team.

Responsibilities
Lead and grow a team spanning data engineering and analytics
Own mentoring, performance evaluation and career development
Contribute directly to technical work (around 20% of your time)
Shape technical direction across data pipelines and analytics
Partner with cross-functional teams on data platform requirements

Requirements
6–8 years of experience, including meaningful leadership experience
Experience managing both data engineers and analysts
Solid hands-on expertise in PySpark, Airflow and AWS




Working knowledge of Kafka (Flink is a plus, not mandatory)
Demonstrable track record of mentoring and developing engineers

Good to know A formal Engineering Manager title is not mandatory. Team Leads and SDE3s with substantial leadership experience are encouraged to apply. We particularly welcome candidates from OTT, product companies, e-commerce and quick commerce, D2C and EdTech backgrounds. Experience operating in lean teams is highly valued.

Interview process

Intro call → Data team round (technical and cultural fit) → Founder round → Cross-functional panel → Final data team discussion

No assignment round.

What we evaluate

Leadership and mentoring capability, performance management and career development approach, cultural fit, and technical depth.

📌 Engineering Manager: Data & Analytics Bengaluru (India)
🏢 Paribus Ai
📍 India