Data Engineer

6 days ago

Gurgaon, Haryana, India Meant To Be Inc Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Data Engineer

We are a venture-backed, stealth-stage technology company building
next-generation matchmaking and relationship platforms

. Our mission is to reimagine how people connect, using
AI, community, and content

as our building blocks.

We're not building another dating app — we're creating an experience where users feel:

"This app gets me."

At the core of our product is a
real-time, ML recommendation engine

— similar to Spotify for song moods or TikTok for content discovery.

We are well-funded and backed by marquee VCs in India and the US

Location:

Gurgaon

Function:

Data Platform

Type:

Full-time

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 = Great recommendations
  • Good 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.
- 3–6 years of building scalable data systems in fast-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

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