abound - Data Engineer
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 • Ownership: You take responsibility for outcomes, not just tasks • Impact-Driven Work: You focus on results and step up during critical moments when needed • MVP Mindset: You prioritize speed and learning, accepting and managing technical debt when appropriate • Collaboration: You go beyond your role and avoid siloed thinking • Adaptability: You thrive in a fast-moving environment with shifting priorities • Pragmatism: You value sound judgment and lightweight processes over rigid bureaucracy
Responsibilities
• 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
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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