Data Platform & Analytics Engineering Lead (Contract)

DCV Technologies; Greater London; Hybrid; GBP 129,000 - 185,000; Part time

Job summary

DCV Technologies is seeking an Engineering Manager to lead end-to-end delivery of data platform and analytics programmes in London. The role combines strong technical leadership with programme execution, stakeholder management and cross-functional collaboration.

You will guide technical delivery across Snowflake, dbt, Airflow, and GitHub workflows, while driving SDLC, CI/CD, and release governance. The ideal candidate has hands-on experience and proven leadership in data engineering platforms.

Qualifications

• Senior engineering/PM background in data engineering or analytics platforms.
• Hands-on with Snowflake, dbt, GitHub, CI/CD and Airflow.
• Experience with modern data stack, ETL pipelines and cloud data platforms.
• Proven Agile delivery and oversight of multiple technical workstreams.
• Strong stakeholder management and cross-functional leadership.

Responsibilities

• Own delivery of data engineering and analytics platform programmes with roadmaps and risks.
• Lead technical delivery across Snowflake, dbt, Airflow and GitHub-centric workflows.
• Drive Snowflake architecture, performance, and cost optimisation with governance.
• Define and enforce SDLC, CI/CD, PRs, code reviews, branching and releases.
• Manage data quality, security, scalability, governance and compliance risks.
• Facilitate design discussions and communicate with engineering teams and senior stakeholders.

Skills

Stakeholder management

Cross-functional leadership

Agile delivery

SDLC knowledge

Tools

Snowflake

dbt

GitHub

Airflow

CI/CD

Job description

DCV Technologies is seeking an Engineering Manager to lead end-to-end delivery of data platform and analytics programmes in London. The role combines strong technical leadership with programme execution, stakeholder management and cross-functional collaboration.

You will guide technical delivery across Snowflake, dbt, Airflow, and GitHub workflows, while driving SDLC, CI/CD, and release governance. The ideal candidate has hands-on experience and proven leadership in data engineering platforms.