Data Engineer

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.Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Life is powered by Circles SaaS platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity.
• Circles Aspire: A global provider of Communications Platform-as-a-Service (CPaaS) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide.
• Jetpac: Specializing in travel tech solutions, Jetpac provides seamless eSIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel eSIM of the Year.

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.

What You'll Do

• 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

Required Skills and Experience

• 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

Example Projects You'll Work On

• 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

What Success Looks Like

• 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

Why Jetpac

• 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.

Data Protection and Privacy Statement

By submitting an application for this position, you, as the applicant, or your authorised representative(s), consent toCircles 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.

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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.