Analytics Engineer Team Lead

Capital on TapLondon£250/hour1mo ago

In Office Staff EMEA Analytics Engineer Team Lead Team Management Performance Reviews dbt

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Responsibilities

• Lead and manage a team of 4-6 Analytics Engineers, overseeing hiring, performance reviews, and career development. • Motivate the team, remove technical blockers, and track performance to ensure delivery accountability. • Collaborate with Business Leads to align data strategy with wider business objectives. • Stay hands-on in the data stack, guiding the team on complex dbt modeling and scalable architecture. • Shape data product decisions and establish coding standards to maintain high-quality, production-grade data assets. • Our Values & Culture 🌞 • Just Pilot: We never settle for “good enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly. • Just Pilot: • Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage.

Benefits

• Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard. • Be a Buddy: • Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done. • Owners and Dates: • Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback. • Feedback: • We’re Looking For 🔎 • Proven experience managing and developing engineers, including performance management and mentorship. • Extensive experience with the modern data stack, specifically a cloud data warehouse (e.g. Snowflake, BigQuery) - dbt and data observability tools preferable. • Expert SQL skills and a deep understanding of scalable data modeling approaches like Kimball. • Ability to manage cross-functional projects, collaborating effectively with Product, Commercial, and Engineering. • Experience defining and delivering against a team roadmap while balancing tech debt and business priorities. • Dedicated to maintaining high code quality through comprehensive testing and robust CI/CD practices. • Even if you don’t have all of the necessary skills, we still encourage you to apply. • Interview Process 🤝 • Stage 1: 30 minute intro call with our Talent Partner • Stage 2: 45 minute meet the Engineering Manager (hiring manager) • Stage 3: 60 minute SQL technical live-coding assessment • Stage 4: 30 minute meet the team, followed by 30 minute meet the CTO/CCO • Diversity & Inclusion 🌈We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work. • Diversity & Inclusion • Check out more of our benefits, values and mission here. • Other Info👍Check out our ‘Top Tips’ for interviewing.✔️Keep updated on new job opportunities by following us on Linkedin.📧Email [email protected] if you have any questions. • Other Info • Excited to work here? Apply!If you’d like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.) • Excited to work here? Apply!