Analytics Engineer: AI-Driven Data Modeling & Trust

Zego

Greater London

Hybrid

GBP 65,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Private medical insurance
Company share options
Generous holiday allowance
Wellbeing benefits
Hybrid working contribution

Job summary

Zego is seeking an Analytics Engineer to shape data models and governance with AI-assisted workflows. You will collaborate with engineers and stakeholders to deliver reliable data products, focusing on modeling, testing, and observability.

Join a growing data team in the UK with hybrid working options and a culture of data-driven decision making. 1–3 years ofexperience and a strong SQL foundation are preferred, with exposure to AI-enhanced tooling and modern data platforms.

Qualifications

  • 1–3 years of experience as an Analytics Engineer or similar role.
  • Solid SQL skills: reading, writing, debugging, and reviewing queries (AI-generated ones included).
  • Familiarity with modern data platforms (Snowflake, dbt, AWS, GCP, Looker).
  • Experience with version control tools such as Git.
  • Exposure to Python for data or analytics tasks is a plus.
  • Strong problem-solving mindset and attention to data quality.

Responsibilities

  • Design and build data models and exposures using AI-assisted workflows.
  • Own testing, data contracts, and observability to ensure trustworthy data.
  • Collaborate with senior engineers and stakeholders to align data work with business outcomes.
  • Enable and maintain self-service capabilities within BI tools for business users.

Skills

SQL
Commercial curiosity
Problem solving
Attention to detail

Tools

dbt
Looker
Snowflake
AWS
GCP

Job description

Zego is seeking an Analytics Engineer to shape data models and governance with AI-assisted workflows. You will collaborate with engineers and stakeholders to deliver reliable data products, focusing on modeling, testing, and observability.

Join a growing data team in the UK with hybrid working options and a culture of data-driven decision making. 1–3 years ofexperience and a strong SQL foundation are preferred, with exposure to AI-enhanced tooling and modern data platforms.

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