Data Engineer: Build AI-Powered Data Platform for Growth

eComplete Group; Manchester, Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

eComplete Group is seeking a Data Engineer to own the build, deployment, and ongoing operation of our managed data platform across multiple client brands. You will work across the full data stack, from source connection through to the AI-powered query layer, delivering analytics-ready data and business insights.

This hands-on role requires strong SQL, data modelling, and experience with cloud data platforms (BigQuery, GCP) and AI tooling to drive value for brand operators and investors.

Qualifications

• Extensive SQL and data modelling experience for analytics-ready data models.
• Experience with cloud data platforms (GCP) and end-to-end ELT pipelines.
• Familiarity with AI-assisted analytics and data governance.

Responsibilities

• Deploy and manage cloud data infrastructure (GCP/BigQuery, IAM, Cloud Storage) for new client onboardings from the ground up.
• Build and maintain end-to-end data pipelines from connectors to analytics-ready output.
• Develop multi-layer SQL transformation models powering reporting and AI-driven queries.
• Produce client-facing analyses including funnel, LTV, and channel attribution.
• Support due diligence by structuring analytical output and QAing numbers for stakeholders.
• Extend AI-integrated workflows and data pipelines feeding Claude-powered outputs.
• Own platform health, monitor pipelines, and enforce data governance across multi-client deployments.

Skills

SQL

Data modeling

BigQuery

Python

AI tooling

Tools

Fivetran

Airbyte

dbt

GCP

IAM

Job description

eComplete Group is seeking a Data Engineer to own the build, deployment, and ongoing operation of our managed data platform across multiple client brands. You will work across the full data stack, from source connection through to the AI-powered query layer, delivering analytics-ready data and business insights.

This hands-on role requires strong SQL, data modelling, and experience with cloud data platforms (BigQuery, GCP) and AI tooling to drive value for brand operators and investors.