Cloud Jobs

Essential Functions & Responsibilities Develop, configure, and maintain SFMC journeys, automations, and personalized campaign assets Build advanced segmentation, data extensions, and SQL-driven processes for efficient audience targeting Implement AMPScript and server-side scripting for dynamic content and enhanced campaign functionality Troubleshoot and resolve technical issues across SFMC components Partner with marketing stakeholders to translate business needs into technical requirements and deliver reliable solutions Support API integrations to enable data sync, event triggers, and real-time personalization End-to-end ownership of data flows into SFMC including CRM and other platform integrations. Provide support for reporting and data analysis Qualifications 3-5 years of hands-on experience with Salesforce Marketing Cloud Proficiency with key SFM...

For our clients, our Oracle Cloud SCM Managers reduce cost and support innovation at the enterprise level by managing business requirements and leading the functional design, prototyping and process design stages of Oracle Cloud implementations. Responsibilities include, among others, managing teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud.

We currently have a vacancy for a D Data Engineer/Architect fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. Tasks: Development and maintenance of a fully open-source Data Lakehouse; Design and development of data pipelines for scalable and reliable data workflows to transform extensive quantities of both structured and unstructured data; Data integration from various sources, including databases, APIs, data streaming services and cloud data platforms; Optimisation of queries and workflows for increased performance and enhanced efficiency; Writing modular, testable and production-grade code; Ensuring data quality through monitoring, validation and data quality checks, maintaining accuracy and consistency across the data platform; Elaboration of test programs; Document processes comprehensively to ensure seamless data pipeline management and troubleshooting; Assistance with deployment and configuration of the system; Requirements University degree in IT or relevant discipline, combined with minimum 13 years of relevant working experience in IT; Hands-on experience as Data Engineer or Data Architect in modern cloud-based open-source data platform solutions and on data analytics tools; Experience in data warehouse and/or data lakehouse design & architecture; Experience with AI-powered assistants like Amazon Q that can streamline data engineering processes; Experience in creating end-to-end data pipelines and the ELT framework; Excellent knowledge in SQ, relational databases, L and open-source, code-based data transformation tools such as dbt, Spark and Trino; Good knowledge of Python and open-source orchestration tools such as Airflow, Dagster or Luigi; Good knowledge of data modelling tools and online analytical data processing (OLAP) and data mining tools; Good knowledge of event streaming platforms and message brokers like Kafka and RabbitMQ; Understanding of the principles behind storage protocols like Apache Iceberg or Delta Lake; Proficiency with Kubernetes and Docker/Podman; Excellent command of the English language Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services...

As a Cloud Consultant - Data & GenAI Engineer, you take technical ownership for AWS cloud-based Data, ML & AI solutions and you will help shape Auvaria's growing Data & AI practice. Data, MLOps & GenAI Architecture & Delivery Build and operate end-to-end ML workflows Design and implement modern data architectures and data pipelines Deploy and maintain ML models using AWS SageMaker Implement Generative and Agentic AI use cases using the AWS ecosystem (e.g., AWS Bedrock, Strands Agents, S3 Vectors etc.) Guide customers on how to adopt GenAI pragmatically and responsibly Consulting & Pre-Sales Act as a trusted technical advisor for customers Support pre-sales activities and technical workshops Translate complex technical concepts into clear business value Knowledge Sharing Mentor junior colleagues Contribute to internal standards, best practices and trainings Your profile: Must-haves 2-3+ years of experience in cloud, data or ML engineering Proven hands-on expertise with AWS Solid experience in data engineering and ETL architectures Practical MLOps experience (model deployment, monitoring, lifecycle) Very good Python skills Proven experience with IaC (Terraform or comparable) Fluent in English Consulting or customer-facing project experience Experience with Generative AI projects Nice-to-haves AWS certifications Experience in pre-sales or technical leadership roles First-class benefits for your career!

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Toronto, ON, Canada; Austin, TX, USA; Boulder, CO, USA; Irvine, CA, USA; Los Angeles, CA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.Minimum qualifications: Bachelor's degree or equivalent practical experience. Experience in buildi...