Staff Data Engineer

the team is part of

the role. Own reliability and observability; Source-freshness alerting, exposures, contract enforcement, and anomaly detection (Elementary OSS or equivalent). Set the production reliability bar. Mentor our Data Engineer and onboard each future hire personally. Establish paired-onboarding and code-review patterns so platform knowledge doesn't concentrate in any single individual - including you. Own the technical roadmap for the data platform. Partner with your Engineering Manager and product on prioritisation, sequencing and trade-offs. Who we look for We focus on hiring values-aligned people because we believe mindset matters as much as experience. Curiosity, drive, and a willingness to learn go a long way. Working at EQL means embracing ambiguity, being okay with imperfection, and playing bigger than we are as we solve tough problems together. If that sounds like it gives you energy and are excited to grow with us, we encourage you to apply—even if you're feeling unsure. We believe you’ll succeed in this role if you have: Extensive experience building and operating production data platforms. Deep expertise in dbt; contracts, exposures, custom generic tests, macros and doc blocks. You can defend architectural choices in this stack – you’ve made your share of right and wrong decisions and have learnt from them. Deep expertise in Snowflake - warehouse organisation, governance, cost optimisation and more recently Cortex. Experience designing and maintaining a semantic layer for downstream LLM or BI consumption. Experience working in fast-paced technology environments, with the ability to thrive in a dynamic and rapidly changing landscape. This includes being comfortable with ambiguity, quickly adapting to new priorities, and executing initiatives with speed and agility. Proficiency in managing relationships with various stakeholders, including customer-facing teams, product teams, and business users. Effective collaboration skills to work closely with stakeholders in co-creating solutions, understanding their needs, and communicating technical concepts clearly and concisely. A track record of creating an accessible data culture, mentoring engineers and growing data teams without becoming a bottleneck. High level of comfort owning architectural decisions in writing and defending them in review. Excellent verbal and written communication skills to effectively convey complex ideas to technical and non-technical stakeholders. What we offer Fairness is not just something for our fans and retailers - it’s part of

who we are which is why: We provide equity in EQL - we want our team to have skin in the game and to be as invested as we are in EQL’s success. We want the people that will make EQL successful to share in that success We provide competitive

compensation and evaluate the market to ensure that remains true. We provide a flexible work environment because we understand that everyone works differently and want to support our team to be their best We provide generous time off above and beyond what we are required to because we know that well-rested people make better decisions and are more engaged - when you thrive we thrive When you want to collaborate in person with other humans, we have a workplace that welcomes the whole team including their furry friends. At EQL, diversity, equity, and inclusion are core to how we operate and grow. We’re committed to building a workforce that values and supports every individual. We believe equality strengthens our culture and drives accountability in championing diverse voices. EQL is an equal opportunity employer and does not discriminate based on race, colour, gender, sexual orientation, age, disability, marital or caregiving status, pregnancy, religion, political beliefs, or national origin.

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