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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager, Data Platforms & Analytics - **Company:** Project Recruit - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Bash Shell, Code Review, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, RAID, Github, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Release Management, Cloud Services, SQL Databases, Strategies of Testing, Snowflake, Grafana, Git Flow, Data Management, Software Version Control - **Published:** August 18, 2026 - **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-864F75EEEEC83D0613/ ## About the Role * 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. ## Description 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)