Data Engineer I

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 I (Data)
Job Location - Bangalore (India)
About this role
We are looking for an experienced Data Engineer to design, develop, and support scalable data platforms and pipelines. The ideal candidate will have extensive experience with modern cloud-based data platforms, distributed data processing, Kubernetes, and data warehousing technologies. The role involves working closely with product teams, analytics, and platform engineers to deliver reliable and scalable data solutions across multiple markets.
Reporting to a Senior Data Engineering, you will lead the architecture, creation, and support of robust data platforms and pipelines. Your work will focus on delivering cloud-native solutions that synchronize perfectly with our strategic data vision and overarching commercial goals.
You will assume full end-to-end accountability for data initiatives, spanning from initial solutioning and testing to deployment and ongoing performance tuning. By providing dedicated production support and driving continuous enhancements, you ensure the ecosystem remains dependable and of the highest quality.
What you'll do
The Data Engineer I at Circles operates at the intersection of Data Engineering, Cloud Infrastructure, and Platform Engineering. You will be part of the team responsible for building, and maintaining scalable data platforms that power analytics, reporting, machine learning, and business operations across multiple markets. As a member of our team, your responsibilities include:
Develop, and optimize scalable batch and streaming data pipelines using modern data engineering technologies.
Build and maintain cloud-native data platforms, including data lakes, data warehouses, and real-time data processing systems.
Take end-to-end ownership of data engineering initiatives, including solution design, development, testing, deployment, performance tuning, monitoring, and production support.
Collaborate with product, analytics, and engineering teams to understand business requirements and deliver reliable, high-quality data solutions.
Develop and optimize data models, ETL/ELT pipelines, and data integration frameworks to support business intelligence and operational reporting.
Experience deploying and managing data applications on Kubernetes, with hands-on experience in implementing CI/CD pipelines using GitLab CI/CD.
Monitor platform health, troubleshoot production issues, perform root cause analysis, and continuously improve system reliability and performance.
Align with the engineering best practices, and contribute to technical documentation, and knowledge sharing.
Who you will work with
Head of Data Engineering
Data Platform & Engineering Teams
Product Managers
Analytics & Business Intelligence Teams
DevOps & Infrastructure Teams
External vendors and technology partners
What we are looking for
1+ years of experience in Data Engineering, or Big Data
Strong experience designing and building scalable ETL/ELT pipelines using Python, Spark/PySpark, and SQL.
Hands-on experience with modern data lakehouse technologies such as Apache Iceberg, Hive, Trino, Big query, Red shift, ClickHouse and Snowflake. (any one)