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.
Apply now if you are an Engineering Manager or technical delivery leader with strong Snowflake, dbt, Airflow and modern data platform experience
