Data Engineer

Easyship; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Remuneration and stock units

Gym and wellness expense reimbursement

Zomato meal credits

Work from Anywhere for 4 weeks

Generous vacation policy with duvet &

Job summary

Easyship is seeking a Data Engineer to design and maintain scalable data pipelines and data services on Google Cloud Platform (GCP). This onsite Bangalore-based role collaborates with UK teams to enable analytics and AI-driven insights for a SaaS/eCommerce shipping platform.

You will work with BigQuery, Airflow, DBT/Dataform, Pub/Sub, and Cloud Functions, building robust data infrastructure and supporting ML workflows. 3+ years of experience and strong SQL are essential.

Qualifications

• 3+ years as a Data Engineer or similar role, in SaaS, logistics, or e-commerce.
• Strong proficiency in SQL.
• Extensive experience with GCP services (BigQuery, Cloud Composer, Pub/Sub, Dataform, Cloud Functions).
• Hands-on experience with data pipeline development and ETL processes.
• Experience building data services/APIs.
• Clear communication and cross-functional collaboration.

Responsibilities

• Design, build, and maintain scalable data pipelines with Cloud Composer, Pub/Sub, and Cloud Functions.
• Optimize and manage BigQuery data warehouse for integrity and performance.
• Implement complex transformations and modeling with Dataform/DBT.
• Develop infrastructure for rapid data service and API creation.
• Implement data quality checks and monitoring processes.
• Identify and fix performance bottlenecks in pipelines and queries.
• Support ML workflows by enabling pipelines for feature engineering and training.
• Collaborate with analysts and data scientists to deliver solutions.
• Nice to have: experience with MLOps tools (Vertex AI, Kubeflow, MLflow).

Skills

SQL

Google Cloud Platform (GCP)

BigQuery

Airflow / Cloud Composer

Dataform / DBT

Pub/Sub

Cloud Functions

ETL pipelines

Data services / APIs

MLOps (Vertex AI / Kubeflow / MLflow)

Tools

BigQuery

Airflow / Cloud Composer

Pub/Sub

Dataform (DBT)

Cloud Functions

Vertex AI

Job description

Easyship is one of the world's leading multi-carrier shipping software, built to make global eCommerce borderless. Since 2014, we've been on a mission to democratize logistics by removing the \"black box\" of international shipping costs and complexities. Trusted by over 100,000 brands, our platform provides a single \"mission control\" for global trade, offering access to 550+ courier services across 200+ destinations.

We are an award-winning, global team (Forbes 30 Under 30, TechInAsia's Best Startup) with offices in London, New York, Hong Kong, and beyond. We're growing fast, we value transparency, and we genuinely enjoy building the infrastructure that powers modern commerce. If you're ready to solve complex problems at scale, we'd love to have you join us.

Who We\u2019re Looking For

Easyship\u2019s data platform sits at the heart of how we run the business — powering everything from shipping analytics to the insights our customers and internal teams rely on every day. As we scale, we need someone who can build the pipelines, warehouses, and data services that keep that platform fast, reliable, and ready for what\u2019s next.

We\u2019re looking for a Data Engineer who will play a pivotal role in building and maintaining robust data pipelines, data warehouses, and data services within our Google Cloud Platform (GCP) environment. You bring a proactive mindset and a passion for data quality, automation, and enabling rapid development of data-driven solutions for our SaaS and eCommerce shipping platform.

This role also has a strong AI-augmented angle — you\u2019re curious about leveraging AI and modern data stack tools to build an insights layer on top of our data, driving smarter automation and business impact across the business.

This is a full-time, onsite role based in our Bangalore office (5 days WFO), reporting to the Head of Data. As you\u2019ll be working closely with teams in the UK, this role follows UK working hours.

What You\u2019ll Be Responsible For

• Design, build, and maintain scalable and reliable data pipelines using Cloud Composer (Airflow), Pub/Sub, and Cloud Functions


• Optimize and manage our data warehouse in BigQuery, ensuring data integrity and performance


• Implement complex data transformations and modeling using Dataform (DBT)


• Contribute to the development of infrastructure for rapidly building data services and APIs


• Implement and maintain data quality checks and monitoring processes


• Identify and resolve performance bottlenecks in data pipelines and queries


• Support machine learning workflows by enabling data pipelines for feature engineering, model training, and deployment


• Build and support the development of an AI-driven insights layer on top of our data platform, staying on top of emerging technologies that accelerate analytics and automation


• Collaborate closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions


• You have 3+ years of experience as a Data Engineer or in a similar role, ideally in SaaS, logistics, or e-commerce


• You have strong proficiency in SQL


• You have extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Cloud Composer (Airflow), Dataform (DBT), Pub/Sub, and Cloud Functions


• You have hands-on experience with data pipeline development and ETL processes


• You have experience building data services/API infrastructure


• You communicate clearly and collaborate well with analysts, data scientists, and cross-functional stakeholders


• Nice to have: Experience with MLOps workflows, including setting up pipelines for feature engineering, model training, deployment, and monitoring using cloud-based tools (e.g., Vertex AI, Kubeflow, or MLflow)

If you\u2019re excited about this role but don\u2019t meet every requirement, we\u2019d still love to hear from you.

What We Bring to the Table as an Employer

• Generous remuneration and stock units


• We reimburse gym and wellness expenses so you can invest in your health


• Zomato digital meal credits and a pantry full of wholesome snacks to keep you fuelled through the workday


• The freedom to 'Work from Anywhere' for 4 weeks in a year


• Generous vacation policy, plus duvet days and mental health days to truly recharge

How we value inclusion in our recruitment practices

Easyship is an equal opportunity employer. We make all employment decisions — recruiting, hiring, pay, benefits, training, promotion, leave, and separation — based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, veteran or military status, citizenship, or any other characteristic protected by law.

Headquartered in London with offices in New York, Hong Kong, Bangalore, Singapore, Melbourne, Toronto, and Taipei – our team is global and growing. We encourage you to apply if a challenge excites you. Come and join the Easyship team!

Don\u2019t take it from us, take it from Cristina. One of our longest serving backend engineers.