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 ❯
standards and policies. Utilize CI/CD pipelines and infrastructure as code (Terraform) for rapid deployment. Experience that will give you an edge Experience using Python on GoogleCloud Platform for Big Data projects, including BigQuery, DataFlow (Apache Beam), Cloud Run, Cloud Functions, Cloud Workflows, and Cloud Composer. Strong SQL 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 ❯
opportunity to influence and deliver cutting-edge data solutions at scale. You'll play a key role in developing a state-of-the-art data mesh architecture on GoogleCloud Platform (GCP), enabling decentralised, self-serve data products across multiple teams. Key responsibilities of the role: Define the vision for engineering and data delivery, setting high standards and … innovative solutions that power decision-making across the organisation. Collaborate with senior stakeholders, product owners, and architects to prioritise and deliver the engineering roadmap. Drive adoption of modern cloud and data engineering practices, fostering a culture of experimentation, innovation, and continuous improvement. Stay ahead of industry trends to ensure we remain at the forefront of technology. Key experience … for the role: Proven leadership in data engineering, software engineering, or platform development. Strong knowledge of cloud platforms such as GCP, Azure, or AWS. Experience in data modelling, design, and cloud-based data migrations. Ability to define and uphold engineering standards while aligning with business and architectural goals. A forward-thinking, growth mindset, comfortable driving organisational More ❯
