development and maintenance of our data infrastructure, ensuring efficient and scalable data pipelines. You will be responsible for hands-on implementation and optimization of data systems on the GoogleCloud Platform (GCP), contributing to critical projects while mentoring junior Engineers. This role focuses on delivering technical solutions, applying best practices, and driving innovation within the data engineering team. … getting up to: Design, develop, and maintain scalable data pipelines using modern data engineering tools and technologies on our GCP stack. Build and optimize our lake house on GoogleCloud Platform (GCP). Implement data ingestion, transformation, and loading processes for various data sources (e.g., databases, APIs, cloud storage). Ensure data quality, consistency, and security … throughout the data pipeline. Leverage GCP services (e.g., Dataflow, Dataproc, BigQuery, Cloud Storage ) to build and maintain cloud-native data solutions. Implement infrastructure as code (IaC) principles using Terraform to automate provisioning and configuration. Manage and optimize cloud resources to ensure cost-efficiency and performance. Design and implement efficient data models following a star More ❯
to : Lead Data Engineer Background A rapidly growing specialist (re)insurance organisation is building out its technology and data infrastructure. This role supports the delivery of secure, scalable cloud data solutions, aligning with business and compliance needs. Key Responsibilities Design, build, and maintain cloud-native data pipelines (Azure/GCP) Implement scalable data management frameworks: observability … lineage Translate business needs into effective technical prototypes and solutions Collaborate with stakeholders, data teams, and service partners Ensure data security, governance, and regulatory compliance Monitor and optimise cloud resource usage and performance Automate data lifecycle tasks to improve speed, consistency, and reliability Support analytics teams with clean, modelled data for self-service tools Mentor peers, share documentation … and support technical best practices Integrate infrastructure and data services across cloud platforms Skills and Experience Expertise in cloud platforms: Azure : Data Factory, Synapse, Monitor, ARM GCP : BigQuery, Dataflow, CloudComposer, Pub/Sub Strong knowledge of data warehousing, storage, and modelling Experience with ETL/ELT processes and performance tuning Hands More ❯
to : Lead Data Engineer Background A rapidly growing specialist (re)insurance organisation is building out its technology and data infrastructure. This role supports the delivery of secure, scalable cloud data solutions, aligning with business and compliance needs. Key Responsibilities Design, build, and maintain cloud-native data pipelines (Azure/GCP) Implement scalable data management frameworks: observability … lineage Translate business needs into effective technical prototypes and solutions Collaborate with stakeholders, data teams, and service partners Ensure data security, governance, and regulatory compliance Monitor and optimise cloud resource usage and performance Automate data lifecycle tasks to improve speed, consistency, and reliability Support analytics teams with clean, modelled data for self-service tools Mentor peers, share documentation … and support technical best practices Integrate infrastructure and data services across cloud platforms Skills and Experience Expertise in cloud platforms: Azure : Data Factory, Synapse, Monitor, ARM GCP : BigQuery, Dataflow, CloudComposer, Pub/Sub Strong knowledge of data warehousing, storage, and modelling Experience with ETL/ELT processes and performance tuning Hands More ❯
