Engineering Manager

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

Engineering Manager - Data Platform & Analytics

London | Hybrid (minimum 2 days onsite) | 6-month contract + extension

We are recruiting an Engineering Manager to lead the end-to-end delivery of complex data platform and analytics programmes. You will combine strong technical knowledge with programme execution, stakeholder management and cross-functional leadership, working closely with Data Engineering, Analytics Engineering, Platform and business teams.

Key Responsibilities

• Own delivery of data engineering and analytics platform programmes, managing roadmaps, dependencies, risks, RAID logs and delivery plans.
• Lead technical delivery across Snowflake data warehousing, dbt transformation pipelines, Airflow and GitHub-based development workflows.
• Drive Snowflake architecture, performance and cost optimisation, plus dbt testing, documentation and deployment governance.
• Define and enforce SDLC, CI/CD, pull request, code review, branching and release management best practice.
• Manage data quality, security, scalability, governance and compliance risks.
• Facilitate technical design discussions and communicate effectively with engineering teams and senior stakeholders.

Essential Skills

• Engineering Manager, Technical Programme Manager or Technical Project Manager background within data engineering or analytics platforms.
• Strong hands-on understanding of Snowflake, dbt, GitHub, CI/CD and Airflow.
• Modern data stack, ETL pipelines and cloud data platform experience.
• Agile delivery and management of multiple technical workstreams.
• Strong stakeholder management and cross-functional leadership.

Desirable

• Python, SQL, Bash; AWS, Azure or GCP; data quality and observability tools; SAFe, PMP or Agile certification; enterprise-scale data transformation experience.