India
Hybrid
Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos.
Today, Circles partners with leading telco operators across multiple countries and continents, including KDDI Corporation, Etisalat Group (e&), AT&T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally.
Besides its SaaS business, Circles operates three other distinct businesses:
Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers.
Job Title: Data Engineer - Platform
Location: Delhi NCR, India (Remote / Hybrid)
Company: Circles.Life – Jetpac
Type: Full‑time
About Jetpac
Jetpac, from Circles, is building a seamless way for travelers to stay connected globally. We offer eSIMs across 200+ destinations with a fast-growing consumer platform spanning web, mobile, and partner channels targeting the travel essentials segment. We operate as a high-velocity product team. Small teams, fast decisions, and direct ownership. We ship continuously, iterate quickly, and measure what matters.
The Role
We’ve reached meaningful scale and are rebuilding key parts of our data platform to support the next phase of growth. You'll work closely with product, engineering, analytics, and business teams to build the data foundations that power reporting, decision-making, experimentation, and future data products.
This role focuses on building reliable, scalable, and AI-accelerated data systems that transform operational data into trusted business insights. You'll work across application databases, data warehouses, and analytics platforms to ensure data is accurate, accessible, and actionable.
This is not a reporting analyst role. You are building the data systems that make analytics, business intelligence, and future recommendation engines possible.
Build and operate the data platform that powers analytics, reporting, and future data products across Jetpac.
Design, build, and maintain ETL/ELT pipelines from operational systems into the data warehouse
Build and manage Bronze, Silver, and Gold data layers that power BI dashboards and business reporting
Create reliable data models, curated datasets, and semantic layers for analytics and self-service reporting
Own database migrations, schema evolution, and data-related application changes alongside engineering teams
Ensure data quality, observability, performance, and governance across the platform
Use AI-assisted workflows to accelerate data engineering, modeling, and debugging
As the platform evolves, contribute to event streaming, customer context, and recommendation system foundations
Focus areas include:
Data ingestion and transformation
Analytics and business intelligence enablement
Database migrations and schema management
Event-driven data architecture
3–6 years of experience in Data Engineering, Analytics Engineering with significant data platform ownership
Strong SQL skills with experience designing and optimizing analytical data models
Hands-on experience building and operating production ETL/ELT pipelines
Experience with modern data warehouses such as Snowflake, BigQuery, Amazon Redshift, or similar
Experience with dbt and Apache Airflow
Strong understanding of Bronze/Silver/Gold architectures, dimensional modeling, and analytical data design
Experience working with application databases such as PostgreSQL or MySQL
Experience managing database migrations, schema changes, and data consistency across environments
Strong understanding of data quality, lineage, observability, and monitoring
Familiarity with event streaming concepts and technologies such as Apache Kafka or similar
Experience using AI-assisted tools to accelerate development while maintaining production-quality standards
Nice to Have
Experience with event streaming technologies such as Apache Kafka, Amazon Kinesis, or similar systems
Experience supporting recommendation engines, personalization, or customer data platforms
Experience in consumer internet, travel, fintech, or marketplace businesses
Build a unified data platform that consolidates product, customer, marketing, and operational data
Design Bronze, Silver, and Gold data layers powering executive and operational dashboards
Create trusted datasets that support growth, finance, and product decision-making
Lead database migration initiatives as application architecture evolves
Build foundations for event-driven analytics and recommendation systems
Improve data quality and reduce time-to-insight across the organization
Business teams can access trusted data through Data pipelines infrastructure which are reliable, observable, and easy to maintain
Database migrations happen safely with minimal operational risk
The data platform scales to support future real-time and recommendation use cases
Data becomes a competitive advantage rather than an operational bottleneck
High ownership, low bureaucracy
Real product impact at global scale
Fast-moving team with strong engineering culture
Flexible work setup across global teams
Circles is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age.
By submitting an application for this position, you, as the applicant, or your authorised representative(s), consent to Circles’ Candidate Data Protection and Privacy Policy. You also agree to the collection, use, and/or disclosure of your personal data by us solely for recruitment purposes as specified in the Policy. You acknowledge that you have read and understood the Policy, are aware of your rights regarding your personal data, and accept the terms relating to international data transfers, where applicable. You further understand that you may withdraw consent at any time, which may affect our ability to consider your application. In instances where your personal data or application is submitted by a third party, it is understood that such third party has been duly authorised by you to disclose the relevant personal data and provide consent on your behalf, and that you have been made aware of this Policy.
To all recruitment agencies: Circles will only acknowledge resumes shared by recruitment agencies if selected in our preferred supplier partnership program.
Please do not forward resumes to our jobs alias, Circles, employees or any other company location. Circles will not be held accountable for any fees related to unsolicited resumes not uploaded via our ATS.