Senior Analytics Engineer

wave group β€’ United Kingdom
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AI Summary

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
Designing data foundations for real-time operational decisions
Driving data quality through testing, monitoring, and alerting
Shaping analytics engineering practices as the business scales
Key Responsibilities
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
Technical Skills Required
SQL BigQuery PostgreSQL dbt Python Data visualisation tools
Benefits & Perks
Private healthcare & dental cover
Enhanced parental leave
Office lunches
Nice to Have
Experience with orchestration tools (Dagster / Airflow)
Real-time pipeline experience
Familiarity with ML workflows and feature engineering

Job 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 joining
  • up to 100% additional allotment based on performance

πŸ“ Location: Shoreditch (4 office days/week)

🌴 Benefits:

  • Private healthcare & dental cover
  • Enhanced parental leave
  • Office lunches

πŸ“¦ 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 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


βœ… Must have requirements:

  • 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


πŸ‘ Bonus points for:

  • Experience with orchestration tools (Dagster / Airflow)
  • Real-time pipeline experience
  • Familiarity with ML workflows and feature engineering

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