Abound
11 - 50 employees
At Abound, our mission is to help local businesses connect, grow, and delight customers. We believe the best stores will always have exciting new products with unique stories. From maker stories to purposeful ingredients, we only select brands and products that spark a deeper connection with our customers. With Abound, there’s so much more in store for you. Discover an exciting career opportunity at a rapidly growing, rocketship startup that will give you the environment and the freedom to excel.
Data Engineer
Job not on LinkedIn
🕒 April 24
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Abound
11 - 50 employees
At Abound, our mission is to help local businesses connect, grow, and delight customers. We believe the best stores will always have exciting new products with unique stories. From maker stories to purposeful ingredients, we only select brands and products that spark a deeper connection with our customers. With Abound, there’s so much more in store for you. Discover an exciting career opportunity at a rapidly growing, rocketship startup that will give you the environment and the freedom to excel.
📋 Description
• Own and evolve the Data Lake infrastructure and ETL pipelines from day one • Migrate production workloads (e.g. model calibration, ad-hoc analytics, reporting) into the Data Lake • Partner closely with Data Science to understand workflows and enable scalable, efficient data usage • Redesign data structures and clustering strategies to improve query performance and data freshness • Optimize infrastructure to reduce AWS costs while maintaining reliability and scalability • Build robust, production-grade data systems using modern AWS tooling
🎯 Requirements
• Strong software engineering foundation with applied knowledge of SOLID principles in data systems • Proven experience building and maintaining Change Data Capture (CDC) pipelines, ideally with AWS DMS • Hands-on expertise with Spark and AWS Glue, including transforming RDS workloads into scalable pipelines • Highly proficient in SQL, particularly within transactional RDS environments • Experience implementing governance, standards, and best practices across data platforms • Comfortable owning systems end-to-end and working cross-functionally with technical stakeholders
🏖️ Benefits
• Everyone owns a piece of the company - equity • Hybrid with 3 days a week in the office • 25 days’ holiday a year, plus 8 bank holidays • 2 paid volunteering days per year • One month paid sabbatical after 4 years • Employee loan • Free gym membership • Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering
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