Big Data Senior Manager - Data Engineering & Platforms - £110k+ : 12month FTC

Responsibilitiesdata

London, UK

about 2 months ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

apply4u.co.uk

Tech stack

Agile Methodology Amazon Web Services Data Analysis Microsoft Azure Big Data Information Engineering Extract Transform Load (ETL) Data Warehousing DevOps Distributed Computing Environment Apache Hadoop Data Streaming

+8 more

Enterprise Data Management Data Logging Apache Spark Data Lakes Real Time Data Apache Kafka Data Management Databricks

Job description

As the leader of the Data Engineering & Platforms function, you will own the end-to-end lifecycle of critical data platforms that process, govern, and serve enterprise data at scale.You will lead multidisciplinary teams responsible for platform engineering, data engineering, operational support, and programme delivery while driving engineering maturity, operational excellence, and cloud optimisation across the estate.

Requirements

You will typically have experience in:Enterprise-scale Data Lakes, Data Warehouses, Lakehouse architectures, or modern cloud data platforms.Leading data engineering and platform engineering teams supporting mission-critical environments.Cloud-native ecosystems such as AWS, Azure, or GCP.Large-scale distributed data processing technologies including Spark, Databricks, Hadoop, Kafka, or equivalent modern platforms.Data integration, ETL/ELT frameworks, streaming architectures, and real-time data processing.Platform observability, monitoring, logging, and operational analytics.Reliability engineering, incident management, and operational governance.FinOps, cloud optimisation, and technology budget ownership.Enterprise delivery frameworks including SAFe, Agile, DevOps, and product-centric operating models. Key ResponsibilitiesData Platform Strategy & ArchitectureDefine and execute the long-term strategy for enterprise data platforms, including Data Lake, analytics, and campaign management capabilities.Engineering LeadershipLead multiple teams responsible for data engineering, platform engineering, operational support, and programme delivery.Platform Reliability & OperationsOwn operational performance of enterprise data platforms, ensuring service availability, scalability, resilience, and recoverability.Cloud & FinOpsDrive cloud cost optimisation and FinOps practices across large-scale data workloads.Enterprise DeliveryLead complex, multi-team technology programmes delivering strategic platform enhancements and transformation initiatives.