The Role

We are looking for a Data Engineer to help design, build, and scale the data platform and infrastructure that powers our core recommendation systems and personalisation engines.

You’ll be a founding data engineer helping us lay the pipelines and infrastructure that feed our recommendation systems, onboarding flows, engagement metrics, dashboards, and ML models.

You'll work hand-in-hand with our ML team to build data adapters and interfaces for model training, serving, and experimentation.

Our Philosophy

We believe:
Great data + Good models = Excellent recommendations
Positive data + Great models = Average recommendations

That’s why we’re investing in data infrastructure from our inception and foundation.

What You'll Do
Architect the entire data platform from scratch — including event capture, batch and streaming pipelines, and feature engineering
Build and scale ETL from raw app events to ML-ready features
Build real-time and batch pipelines for user actions and events
Contribute to the feature store, embedding pipelines, data validation, and freshness monitoring systems
Design data layers for use in A/B tests, product metrics, and ML training
Partner with ML engineers to deliver data adapters for model inputs, embedding generation, and training loops




Help evolve the core event schema and data model with privacy, observability, and performance in mind

Ideal Profile
You’re a systems thinker who starts with data and designs for scale. You’ve likely exposure at early-stage or high-scale consumer platforms — social, gaming, transactions, or media.
4–8 years of building scalable data systems in quick-moving environments
Experience supporting RecSys, ML, or content feeds in social or consumer platforms
Understands how features feed into models, or has worked closely with ML teams before
Understands how data impacts user experience, not just analytics
Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform, Pick your best tool for the job

Nice to Haves
Experience with personalisation systems, recommender pipelines, or ranking models
Exposure to A/B testing platforms or online experimentation infrastructure
Passion for consumer social or dating products

Why Join Us Now
Join a founding data team where your work is core to the product experience
Shape key decisions for a platform that will directly impact how people form meaningful relationships
Significant ESOPs and wealth creation with market-competitive cash compensation

📌 Data Engineer Gurugram (India)
🏢 Uplers
📍 India