Data Engineer

Easyship is revolutionizing logistics for eCommerce. With our all-in-one cloud based shipping software, businesses of all shapes and sizes have the tools needed to scale globally. At Easyship we believe in accelerating borderless commerce. We're proud that a diversity of small business owners, crowdfunding campaigns, and global brands trust Easyship as their gateway to the world.To learn more about us click here.

Job Title: Data Engineer

Reports to: Head of Data

Location: Bangalore (5 days WFO)

Work Shift: UK shift 

As a Data Engineer, you 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. You are also curious about leveraging AI and modern data stack tools to build an insights layer on top of data, driving smarter automation and business impact.

• Data Pipeline Development: Design, build, and maintain scalable and reliable data pipelines using Cloud Composer (Airflow), Pub/Sub, and Cloud Functions. 
• Data Warehousing: Optimize and manage our data warehouse in BigQuery, ensuring data integrity and performance. 
• Data Transformation: Implement complex data transformations and modeling using Dataform (DBT). 
• Data Services: Contribute to the development of infrastructure for rapidly building data services and APIs. 
• Data Quality: Implement and maintain data quality checks and monitoring processes. 
• Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and queries. 
• MLOps Integration: Support machine learning workflows by enabling data pipelines for feature engineering, model training, and deployment.
• AI & Modern Data Stack: Build and support the development of an AI-driven insights layer on top of our data platform, leveraging modern data stack tools and staying on top of emerging technologies that accelerate analytics and automation.
• Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.

• 3+ years experience as a data engineer or similar roles, ideally in SaaS, logistics, or e-commerce
• Strong proficiency in SQL 
• Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Cloud Composer (Airflow), Dataform (DBT), Pub/Sub, and Cloud Functions. 
• Experience with data pipeline development and ETL processes. 
• Experience with building data services/API infrastructure.
• 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). (preferable)
• Good communication and collaboration skills
  
  

• Competitive Equity Package: Earn more than just a competitive salary. Receive equity shares to gain wealth as the company grows.
• Generous Vacation Policy: We think time off is essential… and we encourage it
• Duvet Day: Perfect for those cold winter days, when you don't want to escape the warmth of your bed
• Complimentary Meal Benefits: Fuel your day with a daily meal allowance delivered as Zomato digital coupons—fresh, tasty options right at the office. Bon appétit 
• Mental Health Day: You deserve a day off A chance to recharge and enjoy 'Me Time'
• 4 weeks of 'Work from Anywhere': Whether you're working from the beautiful beaches in the Bahamas or by the fireplace on your ski trip in Switzerland - just make sure to send us a picture
• Professional Development: We're here to help you hit your career goals to help get you where you want to be.

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

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.