Senior Data Engineer

🚀 Why Keystone AI ? Keystone AI is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move, and we’re only just getting started. We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading. Not your grandad’s bookie. 👀 The Role Title: Senior Data Engineer Team: Data Location: Remote UK Salary bands: £85,000 - £100,000 As Senior Data Engineer, you’ll help scale the data platform that powers decision making across Keystone AI . You’ll work on core platform improvements, reliable data pipelines, modern data tooling, and lower-latency analytics foundations that support the next stage of company growth. This is a high-ownership role for someone who brings strong engineering fundamentals and wants to shape how data engineering is done as the team scales. You will: Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS. Own end to end data engineering projects from ingestion through to analytics enablement. Develop and optimise reliable SQL based data models. Help build a stronger staging and testing environment for data changes before production. Improve monitoring, alerting, and data quality across key pipelines. Contribute to CDC and lower latency data movement initiatives. Work closely with Product, Analytics, Engineering, and business stakeholders. Participate in code reviews and help raise engineering standards across the team. Pair with other engineers where needed and support more junior team members as the team grows. Requirements The next Keystone AI r: Has strong data engineering experience and can operate at senior individual contributor level. Brings strong software engineering foundations and production-grade engineering habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives in a startup or scale-up environment with high ownership and ambiguity. Communicates clearly with technical and non-technical stakeholders. Benefits 💰 Winnings Private health insurance with zero excess, including optical cover and optional dental. Income protection to protect your earnings and give you peace of mind. Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years. Flexible working and a fully supported home office setup so you can do your best work from home. Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees. Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want. Retail discounts and subscription perks across a wide range of brands. Quarterly team socials to connect, celebrate and have fun together. At Keystone AI , we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success. Originally posted on Himalayas