Remote Senior Analytics Engineer: Data Stack & AI

Remote Genie

United Kingdom

Remote

GBP 70,000 - 110,000

Full time

8 days ago
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Benefits offered by this job

Share options programme
Private medical cover for you and your
27 days holiday
4 months of summer hours
Furniture on anniversary
Friends & family discount
Fully remote working
Frequent meet-ups

Job summary

Swoon is a design-led brand operating on a modern data stack. We’re seeking an analytics engineer to own the warehouse, transformation layer, orchestration and analytics surface end-to-end, with no data team above you.

You will partner closely with commercial, marketing and operations leads to turn questions into executable insights, while driving autonomous architectural decisions and cost-aware data management. Strong SQL, Python, Snowflake and orchestration experience are essential.

Qualifications

  • Experience building and running production analytics stacks.
  • Strong SQL and Python skills with data warehousing experience.
  • Ability to make architecture calls and own the stack end-to-end.

Responsibilities

  • Own the data stack from ELT to data quality and cost management.
  • Own the analytics surface and BI strategy for self-service insights.
  • Apply AI tooling to reduce analysis time and maintain trusted outputs.
  • Collaborate with commercial, marketing and operations leads to deliver actionable insights.
  • Demonstrate a track record of delivering production analytics solutions.

Skills

SQL
Python
Airflow
Data modeling
Data quality checks
AI fluency
Data storytelling

Tools

Snowflake
Airflow

Job description

Swoon is a design-led brand operating on a modern data stack. We’re seeking an analytics engineer to own the warehouse, transformation layer, orchestration and analytics surface end-to-end, with no data team above you.

You will partner closely with commercial, marketing and operations leads to turn questions into executable insights, while driving autonomous architectural decisions and cost-aware data management. Strong SQL, Python, Snowflake and orchestration experience are essential.

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