Are you ready to join us and shape the future of data? As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining scalable data solutions using Microsoft Azure’s ecosystem—including Azure Synapse Analytics, Databricks, and Microsoft Fabric—to deliver innovative … solutions across various projects. You will empower our clients to harness their data, drive decision-making, and achieve their business goals. What You’ll Do: Solution Design & Development : Architect and implement scalable, high-performance data solutions using Microsoft Azure technologies, adhering to best practices for robust delivery. Design … and maintain ETL/ELT pipelines, optimize storage solutions, and document technical workflows Data Management & Integration: Integrate structured and unstructured data, develop efficient data models for analytics and reporting, and ensure security, compliance, and data quality. Collaboration & Client Engagement: Work closely with stakeholders to understand requirements More ❯
What you'll be doing Are you ready to contribute to the evolution of our data pipelines for our B2C division? At Future, we are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us. This … is an exciting opportunity for someone who excels in a creative environment, enjoys solving complex data challenges, and is eager to build impactful business insights, for this role you will directly report into the Head of DataEngineering The Data & Business Intelligence team guides our organisation … to become more data-driven. By ensuring visibility of objective performance data, we empower our teams to make rapid, informed decisions that enhance overall performance. Important Responsibilities include and not limited to; Develop and maintain new/current features of the data platform. Responsible for delivery of More ❯
At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle … from data preprocessing to model deployment. Duties and Responsibilities Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques. DataEngineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation. … Deployment & Maintenance: Work on deploying AI models to production environments, ensuring scalability, reliability, and robustness. Collaboration: Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate AI-driven features into products. Research: Stay up-to-date with the latest AI research and industry trends More ❯
