Design and build data foundations for real-time operational decisions, drive data quality, and shape analytics engineering practices. Requires 5+ years of experience in analytics engineering, data engineering, or a similar role. Strong SQL and dbt experience is essential.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
💻 Job Title: Senior Analytics Engineer
💰 Salary: up to £100k (strong mid/senior)
🔥 Equity: up to 170% (!!!) - insanely generous 🥵
- 70% guaranteed upon joining
- up to 100% additional allotment based on performance
📍 Location: Shoreditch (4 office days/week)
🌴 Benefits:
- Private healthcare & dental cover
- Enhanced parental leave
- Office lunches
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📦 Industry: Logistics
👥 Team: ~110
💸 Funding: ~$45m (Series A)
🛂 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.
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🛠️ What you'll be doing:
- Designing the data foundations that power real-time operational decisions
- Building core data models that power analytics, data science and autonomous AI workflows
- Owning the data inputs that drive key AI decision systems
- Driving data quality through testing, monitoring and alerting
- Shaping analytics engineering practices as the business scales
✅ Must have requirements:
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- 5+ years in analytics engineering, data engineering or a similar role
- Strong SQL (BigQuery, PostgreSQL)
- Extensive dbt experience
- Experience with data visualisation tools
- Python proficiency for automation and data manipulation
- Clear communicator who can translate between technical and non-technical stakeholders
👍 Bonus points for:
- Experience with orchestration tools (Dagster / Airflow)
- Real-time pipeline experience
- Familiarity with ML workflows and feature engineering
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