Senior Analytics Engineer

Wavegroupio β€” United Kingdom Β· Posted ~1 week ago

Senior Full-time Hybrid Visa Sponsored

Skills

SQL BigQuery PostgreSQL dbt Data visualization Python Data modeling Data quality Dagster Airflow

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Summary

A senior analytics engineering position focused on designing reliable data foundations, building analytical models, improving data quality, and enabling data-driven operational systems. The role combines engineering expertise with business collaboration.

Highlights

Senior analytics role with strong compensation, equity opportunities, healthcare benefits, and the chance to build data foundations powering advanced analytics and AI-driven decisions.

Description

πŸ’» Job Title: Senior Analytics Engineer πŸ’° Salary: up to Β£100k (strong mid/senior) πŸ”₯ Equity: up to 170% (!!!) - insanely generous πŸ₯΅ 70% guaranteed upon joiningup to 100% additional allotment based on performance πŸ“ Location: Shoreditch (4 office days/week) 🌴 Benefits: Private healthcare & dental coverEnhanced parental leaveOffice lunchesπŸ“¦ Industry: Logistics πŸ‘₯ Team: ~110 πŸ’Έ Funding: ~$45m (Series A) πŸ›‚ VISA sponsorship available if needed This company is hands-down the hottest logistics scale up in Europe, taking the industry by storm and growing at an astronomical pace. Every parcel that moves through their network generates thousands of data points. Those data points feed forecasts, optimisation models, and an increasingly autonomous AI marketplace. The Analytics Engineer in this role owns the foundations that make all of it possible, sitting within the company's biggest and most data-rich squad. If you want to be at the heart of something genuinely transformative, this might be for you. πŸ› οΈ What you'll be doing: Designing the data foundations that power real-time operational decisionsBuilding core data models that power analytics, data science and autonomous AI workflowsOwning the data inputs that drive key AI decision systemsDriving data quality through testing, monitoring and alertingShaping analytics engineering practices as the business scales βœ… Must have requirements: 5+ years in analytics engineering, data engineering or a similar roleStrong SQL (BigQuery, PostgreSQL)Extensive dbt experienceExperience with data visualisation tools Python proficiency for automation and data manipulationClear communicator who can translate between technical and non-technical stakeholders πŸ‘ Bonus points for: Experience with orchestration tools (Dagster / Airflow)Real-time pipeline experienceFamiliarity with ML workflows and feature engineering