Expire in: a month
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 experienceDo not include the following in your job application, CV, or cover letter:
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