Analytics Engineer: Data Platform & AI Workflows

Alastair LLP; Greater London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Highly competitive compensation

Annual discretionary bonus

Lunch provided

30 days’ annual leave

9% company pension contributions

Comprehensive healthcare and life assurance

Cycle-to-work scheme

Monthly company events

Job summary

Alastair LLP in London seeks an Analytics Engineer to enhance our data-driven insights through analytics engineering. You will manage analytics relationships and deliver data models, tools, and workflows that support decision-making.

The ideal candidate has experience in analytics engineering with strong Python and SQL skills, and familiarity with CI/CD and AI tools. Benefits include competitive compensation, annual leave, healthcare, and a collaborative work environment.

Qualifications

• Experience in analytics engineering or similar role.
• Strong data transformation skills using Python and SQL.
• Familiarity with CI/CD, Docker/Kubernetes, and Linux.
• Practical use of AI tools in daily work.
• Track record of independently owning end-to-end delivery.
• Excellent communication skills with senior stakeholders.
• Desire to continuously improve working methods.

Responsibilities

• Own the analytics engineering relationship and roadmap.
• Develop reusable datasets for deep dives and self-service.
• Build tools and AI-embedded workflows for stakeholders.
• Apply software engineering practices to the analytics stack.
• Advocate best practices in data modeling and analytics.

Skills

Analytics engineering experience

Data transformation skills using Python and SQL

Familiarity with CI/CD and Docker/Kubernetes

Knowledge of DataOps

Use of AI tools

Interpersonal skills

Innovative mindset

Tools

dbt core

dlt

Linux

version control

Job description

Alastair LLP in London seeks an Analytics Engineer to enhance our data-driven insights through analytics engineering. You will manage analytics relationships and deliver data models, tools, and workflows that support decision-making.

The ideal candidate has experience in analytics engineering with strong Python and SQL skills, and familiarity with CI/CD and AI tools. Benefits include competitive compensation, annual leave, healthcare, and a collaborative work environment.