Analytics Engineer Mid

D8 LooP; United Kingdom; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

D8 LooP is seeking an Analytics Engineer to own the data modelling layer that supports our analytics initiatives. You will work on dbt models, semantic definitions, and oversee data quality across the warehouse while migrating from legacy tools.

Join a team modernising our analytics stack, building robust pipelines with Airflow and driving data-driven decisions across finance and product teams. Expertise in SQL, dbt, and cloud data warehouses is essential.

Qualifications

• SQL proficiency with end-to-end model ownership.
• dbt experience with analytics warehouse design.
• Ability to maintain data quality, freshness SLAs and proactive monitoring.

Responsibilities

• Own data models end-to-end in the Analytics Warehouse.
• Migrate analytics stack off legacy tools to new platform.
• Maintain data quality and monitor performance and freshness.

Skills

SQL

dbt

Data modelling

Monitoring

Tools

Airflow

BigQuery

Job description

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.

Skills, with evidence

The Analytics Engineers who serve these teams own the data modelling layer that all of it runs on: dbt models, metric definitions, and semantic layer contributions. must have

Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring. must have

• SQL Solid SQL and dbt experience, with a clear comfort owning models end to end. must have
• dbt Build and maintain dbt models in our new Analytics Warehouse, using a clean, layered architecture and migrating logic off legacy tools as you go. must have
• You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus. not practised here
• Warehousing You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus.
• Airflow / orchestration - Orchestration: Airflow
• - Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring.
• GCP - Data warehouse: GCP / BigQuery (new Analytics Warehouse) not practised here