Senior Data Engineer

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Zepto

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2021

🛒 Retail

🏪 Marketplace

🛍️ eCommerce

Retail • Marketplace • eCommerce

Zepto is a company that offers a mobile application platform where customers can order groceries and a wide range of daily essentials such as fresh fruits, vegetables, meats, beauty items, and household essentials. The platform advertises a rapid delivery service, promising to deliver orders in as little as 10 minutes. Zepto's product offerings include everything from groceries to health and baby care items, with a focus on a comprehensive selection and speedy service.

📋 Description

• Maturing our existing Snowflake platform: performance, testing, data quality, and observability • Designing and building streaming data pipelines, moving high-value use cases off batch and onto event-driven patterns • Contributing to the architectural roadmap for Zepto's data services • Partnering with product and engineering to scope and ship data products for external customers and partners • Implementing and managing data orchestration tools and frameworks to support robust data pipelines. • Providing hands-on analytics engineering to support and collaborate with cross-functional teams. • Expanding our foundations to maintain enterprise-grade data governance and compliance. Including building on our foundations of data lineage, metadata management, and data transparency. • Embracing the way we work with AI: Play a hands-on role in integrating AI into how we work – embracing the setup, documentation, and cross-team alignment of AI tools so our processes are scalable, structured, efficient and built to last beyond any one person.

🎯 Requirements

• At least 5+ years of dedicated Data Engineering experience, with a proven track record designing and implementing a modern data stack, such as: • Workflow orchestration (eg. Prefect/Airflow) • Extraction and load tooling (eg. CDC, Fivetran, Debezium) • Transformation tooling (eg. DBT) • Hands-on experience with data warehouses, ideally Snowflake • Real experience with streaming/event-driven data technologies (eg. Kafka, Kinesis, or similar) • Deep SQL and analytics engineering skill, and comfort optimising warehouse performance at scale • Experience shipping data as a product: APIs, data feeds, or partner-facing datasets, not just internal dashboards • Comfortable writing high quality Python code and Bash; Golang or Ruby is a bonus • Experience with CI/CD for data projects, and managing data infrastructure as code (Terraform preferred) • Knowledge architecting and administering solutions in a Public Cloud (preferably AWS) • Demonstrated ability to work with other engineers and to get hands-on across the data stack (back-end, application databases, external services) • Ability to work with cross-functional teams to unlock value from data across the business • Driving AI maturity and adoption: Embedding AI tools into the rhythm of daily work across the team, ensuring processes are structured, documented, and consistently followed — reducing key person dependency and building a foundation that scales.

🏖️ Benefits

• Join a Talented Team: Work with world-class talent and industry leaders who support career growth • ESOP: Access to Zepto’s Employee Share Program equity program • Flexible Work: A remote-first work culture, plus you’ll also get access to premium co-working spaces in Byron, Sydney & Melbourne • Paid Parental Leave: 12 weeks Paid Parental Leave for primary caregivers and 4 weeks for secondary caregivers. • Wellbeing Focus: Access to Zepto’s Wellbeing Menu, which includes access to an Employee Assistance Program and paid Wellbeing leave. • Annual Learning Budget: An individual learning budget, plus paid Growth & Impact Days annually to focus on professional development • Remote-Work Support: A Remote Work Budget to set up your home office upon commencement