Engineering Manager

DCV Technologies; City Of London; Hybrid; GBP 110,000 - 135,000; Full time

Job summary

DCV Technologies in London is seeking an Engineering Manager to lead end-to-end delivery of complex data platform and analytics programmes on a 6-month contract with extension possibility. You will combine technical excellence with programme execution, coordinating with Data Engineering, Analytics Engineering, Platform and business teams to deliver value.

The role requires hands-on experience with Snowflake, dbt, Airflow and CI/CD, plus strong stakeholder management and leadership across

Qualifications

• Engineering Manager 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.
• Agile delivery and management of multiple technical workstreams.
• Strong stakeholder management and cross-functional leadership.

Responsibilities

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

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.