Engineering Manager, Data Platforms & Analytics

As an Engineering Manager, the client is seeking an experienced professional to lead and deliver complex data platform and analytics initiatives. The role requires a strong blend of technical expertise, programme delivery excellence, stakeholder management, and cross-functional leadership.

The successful candidate will collaborate closely with data engineering, analytics, platform, and business teams to plan, coordinate, and deliver scalable, high-quality data solutions., * Own end to end delivery of data and analytics programs, ensuring alignment with business goals, timelines, and quality standards.

• Plan, track, and manage complex technical dependencies across Snowflake data warehouse, dbt transformation pipelines, and GitHub-based development workflows.
• Collaborate with Data Engineers and Analytics Engineers to:
• Manage Snowflake architecture, performance, and cost optimization initiatives.
• Oversee dbt project delivery, testing strategies, and deployment governance.
• Define and enforce SDLC and CI/CD best practices using GitHub (pull requests, code reviews, branching strategies, release management).
• Create and maintain program artefacts including roadmaps, delivery plans, RAID logs, and technical documentation.
• Identify risks early and drive mitigation plans for data quality, security, scalability, and delivery timelines.
• Facilitate technical design discussions while translating complex concepts for non technical stakeholders.
• Drive continuous improvement of program delivery processes, tooling, and metrics.
• Ensure adherence to data governance, security, and compliance standards.

• 10+ years of experience as an Engineering Manager, Technical Program Manager, Technical Project Manager, or similar role.
• Strong hands on understanding of: Snowflake (data warehousing concepts, performance tuning basics, cost management), dbt (models, testing, documentation, environments, deployments), GitHub (version control, pull requests, CI/CD workflows) and Airflow.
• Proven experience managing data engineering or analytics platform programs.
• Solid understanding of modern data stacks, including ETL pipelines and cloud data platforms.
• Experience working in Agile environments.
• Strong communication skills with the ability to engage engineering teams and senior stakeholders.
• Ability to manage multiple workstreams and competing priorities with minimal supervision.

Desirable:

• Languages: Python (primary), SQL, Bash
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data quality frameworks and observability tools.
• SAFe, PMP, or Agile certifications.
• Prior experience supporting enterprise-scale data transformations.

This is a hybrid role - you can work remotely in the UK and attend the London office 2 days per week.

This is a 6 month temporary contract to start ASAP

Day rate: Competitive Market rate

Our client, a leading global supplier for IT services, requires an experienced Engineering Manager to be based at their client’s office in London, UK