Lead Analytics Engineer: Data Platform & Architecture

Xcede; Greater London; Hybrid; GBP 76,500 - 93,500; Full time

Benefits offered by this job

London office 1 day/week

Job summary

Xcede is hiring a Lead Analytics Engineer to shape how data is modelled, governed and consumed across the business. You will own analytics engineering solutions end-to-end, set the standard for modelling, testing and governance, and mentor the team.

Based in London with the role offering up to 85,000 base salary plus up to 30% bonus and one office day per week; you’ll work with Snowflake, dbt, SQL and Python in a modern data stack and collaborate with product, marketing, finance and data science

Qualifications

• Advanced SQL, top-end for complex modelling and performance work.
• Strong Snowflake experience including performance and cost optimisation at scale.
• Proven experience shaping analytics engineering at a business domain level.
• Python for automation and processing.
• Confident with stakeholder management across product, marketing, finance and data science.
• Comfortable operating independently and making calls in ambiguous environments.
• A mentor who takes real pride in raising the bar around them.

Responsibilities

• Own analytics engineering modelling, governance and delivery across business domains.
• Lead architectural decisions and set quality standards for the team.
• Mentor engineers and drive a culture of high performance and collaboration.

Skills

Advanced SQL

Stakeholder management

Independent working

Mentoring

Ambiguity navigation

Tools

Snowflake

dbt

SQL

Python

AWS

Terraform

API Gateway

Job description

Xcede is hiring a Lead Analytics Engineer to shape how data is modelled, governed and consumed across the business. You will own analytics engineering solutions end-to-end, set the standard for modelling, testing and governance, and mentor the team.

Based in London with the role offering up to 85,000 base salary plus up to 30% bonus and one office day per week; you’ll work with Snowflake, dbt, SQL and Python in a modern data stack and collaborate with product, marketing, finance and data science