> Markdown version of [/jobs/ext/2261236-data-delivery-manager](https://www.wearedevelopers.com/jobs/ext/2261236-data-delivery-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Delivery Manager - **Company:** Robert Walters - **Location:** London, UK - **Salary:** £130,000.0 - £156,000.0 - **Contract:** Temporary contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Data Analysis, BigQuery, Cloud Computing, Cloud Engineering, Information Engineering, Data Governance, Extract Transform Load (ETL), Dataspaces, Data Warehousing, Elasticsearch, Electronic Publishing, Scrum Methodology, Data Streaming, Workflow Management Systems, Data Processing, Snowflake, Apache Spark, Apache Flink, Atlassian Tools, Apache Kafka, Data Delivery, Stream Analytics, Data Pipelines - **Published:** August 26, 2026 - **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-F29541D06A233D8736/ ## About the Role Candidates must have experience delivering projects within a similar high-volume data ecosystem: * Cloud Infrastructure: Amazon Web Services (AWS) * Data Processing & Streaming: Apache Spark, Apache Flink, Kinesis, or Kafka * Data Warehousing: Snowflake or BigQuery * Search & Analytics: Elasticsearch/Elastic Stack (specifically for Real Time log and user action tracking) * Workflow Orchestration: Apache Airflow * Project Management Tools: Jira and Confluence Requirements * Proven Media/Digital Experience: Background managing data delivery in high-traffic digital publishing, subscription-based products, or E-commerce environments. * Technical Understanding: Strong comprehension of cloud architecture (AWS) and modern ELT/ETL data pipeline patterns. * Agile Expertise: Extensive experience leading scrum ceremonies, managing backlogs, and running sprint planning for data teams. ## Description We are seeking an experienced Data Delivery Manager to lead the execution of business-critical data workstreams across our digital media and reader revenue platforms. You will sit at the intersection of data engineering, product management, and editorial insights. Your primary focus will be unblocking teams, managing agile delivery cycles, and ensuring complex data pipelines are built to support global, Real Time analytics. You will collaborate closely with cross-functional teams to democratise data, providing journalists, product managers, and commercial stakeholders with the insights they need to engage a global audience., * Agile Delivery Management: Own the delivery life cycle for data engineering and analytics workstreams using Scrum and Kanban methodologies. * Pipeline & Migration Tracking: Oversee the migration, orchestration, and scaling of multi-source subscription, traffic, and commercial data lakes. * Stakeholder Enablement: Facilitate collaboration between data teams and non-technical stakeholders (editorial, marketing, executive leadership) to democratise Real Time traffic data safely. * Blocker Removal: Manage team dependencies, eliminate infrastructure bottlenecks, and handle strict delivery timelines to hit strategic launch goals. * Governance Alignment: Partner with the data governance team to ensure all delivered pipelines maintain high data quality and meet strict data privacy standards. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. 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