delivered Form hypotheses on the technical approaches to diverse problems Prove/Disprove those hypotheses by defining and delivering experimental spikes (involving use of cloudnative services and bespoke code) Define technical tasks and estimate implementation effort Ultimately, present enough evidence to allow decisions on the future approach … new things, potentially even legacy techs. Be very comfortable with back-end dev in the java platform and test via Bruno. Experience in AWS native services (Lambda etc.) is highly desirable Be experienced in agile software development using product centric delivery. Hands on experience of technical planning, task breakdown More ❯
delivered Form hypotheses on the technical approaches to diverse problems Prove/Disprove those hypotheses by defining and delivering experimental spikes (involving use of cloudnative services and bespoke code) Define technical tasks and estimate implementation effort Ultimately, present enough evidence to allow decisions on the future approach … new things, potentially even legacy techs. Be very comfortable with back-end dev in the java platform and test via Bruno. Experience in AWS native services (Lambda etc.) is highly desirable Be experienced in agile software development using product centric delivery. Hands on experience of technical planning, task breakdown More ❯
or Spark. Familiarity with machine learning models and AI-driven analytics. Understanding of front-end and mobile app interactions with backend services. Expertise in cloud-native application development and DevOps practices. This position is ideal for an individual with a strong backend engineering background, a passion for data More ❯
with at least 2 years in AdTech, MarTech, or digital media platforms. Proven experience building ML platforms or infrastructure from scratch, ideally in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and More ❯
an Experienced Data Modeller to support a high-impact programme focused on reimagining and migrating legacy on-premise applications and data models into Google Cloud Platform (GCP) as modern data products. This is a key role in shaping the data architecture of tomorrowapplying enterprise modelling standards to next-gen … cloud-native data assets. Key Responsibilities Own the data modelling strategy across the GCP migration workstream Design and develop conceptual, logical, and physical data models aligned with enterprise standards Ensure data models meet business and performance requirements, including access and governance needs Define and maintain mappings between logical … modelling, ideally in a large-scale data transformation context Hands-on experience with ER/Studio for professional modelling tasks Solid understanding of Google Cloud Platform, including BigQuery, GCS, and Pub/Sub or Kafka Strong coding background in Advanced SQL, SSIS, Python, and Unix Shell scripting Familiarity with More ❯
foundational element of the project. Responsibilities Work with VMO2 to deploy infrastructure required to support target applications which will be migrated to the new Cloud platforms on Red Hat OpenShift and Wind River IaaS Platforms. Develop High- and Low-level designs for the solution along with the assigned WWT … the boundaries. Experience building High- and Low-level design documents Work with Red Hat Virtualization (RHV) and container platforms (OpenShift/Kubernetes) team for cloud-native deployments Experience in bare metal deployments leveraging automation and ZTP (zero touch provisioning) Detailed knowledge of the physical installation considerations of such More ❯
