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As an AI Engineer / Data Scientist at Delta-N, you will develop and deploy production-ready AI solutions, including predictive models and AI agents, using Python, JavaScript, and Microsoft Azure.
Senior Data Engineer designing scalable data pipelines using batch and stream processing (Spark, Kafka, Airflow) with Java, Python or Scala in cloud environments for a Dutch data consultancy.
Senior Data Engineer at a data consultancy building data pipelines and deploying cloud-native solutions (Azure/AWS) using Java, Python, or Scala and big data tools like Spark and Kafka across multiple client projects.
Medior Data Engineer at a Data & AI consultancy, building data-driven solutions (data hubs, batch processing, recommendation engines) using Python/Java/Scala, Spark, Kafka, Docker, Kubernetes, and Azure/AWS for large client organizations.
Builds and maintains AI-driven data pipelines using Java/Python/Scala on Spark and Kafka for client projects in a consultancy setting.
Senior Full Stack Engineer on Hopper's HTS travel commerce platform, building features end-to-end with Scala/GCP backend and React/TypeScript frontend, while leveraging AI agents to accelerate development.
Azure Data Engineer designing, implementing, and optimizing scalable data solutions on Microsoft Azure and Microsoft Fabric for a product company serving the aeronautical sector, covering data pipelines, storage, governance, and BI.
Junior AI Engineer designing scalable ML solutions on Google Cloud, collaborating with data architects, scientists, and engineers to ship ML to production using MLOps tools and architecture guidelines.
Design and implement data pipelines on Databricks, integrating with various tools and services. Core stack: Databricks, Python, Scala, AWS, Azure.
Designs and builds scalable data platforms and pipelines to extract insights from raw data, integrating AI/ML workflows using Big Data frameworks and cloud-native tools like Spark, Kafka, and cloud platforms (AWS/Azure/GCP).
Databricks Expert bridging Data Science and Data Engineering to deliver data acquisition, transformations, and loading into data lakes for analytics and ML across GCP/AWS/Azure cloud environments.
Databricks Architect & Data Engineer bridging Data Science and Data Engineering on Big Data customer projects using Databricks, Azure, and related technologies.
Data Engineer at a Milan-based broadcasting company, building data products and architectures across the full development lifecycle using Java/Scala/Python and SQL/NoSQL, while mentoring junior team members.
Data Engineering internship in Milano focused on designing big data pipelines, working with on-premise environments, and setting up CI/CD pipelines using Cloudera, Scala/Python/Java, and AWS/Azure.
Data Engineer at an IT consulting firm in Turbigo, Italy, building data solutions with Spark, Scala, Python, and NoSQL databases while applying machine learning algorithms to generate business insights alongside data analysts.
Databricks expert bridging Data Science and Data Engineering, delivering data acquisition, transformations, cleansing, and loading into data lakes for analytics and ML models in a cloud-native environment.
Data Engineer at Extia, an IT consulting firm, working with Spark, Scala, Python, NOSQL, Elasticsearch, Hadoop, and AWS to build data pipelines and collaborate with analysts and BI developers on-site in Turbigo, Italy.
Design and manage large-scale data pipelines in a hybrid role (Milan or Turin), collaborating with Data Analysts and Data Scientists using Python, Scala, Spark, and cloud.
Principal/Staff-level Data Engineer providing senior technical leadership across data engineering, shaping strategy and architecture for high-impact initiatives in a Belfast/hybrid role.
Analyze healthcare claims and clinical data using SQL and Power BI to improve risk adjustment and quality metrics for Medicare, Medicaid, and ACA plans.
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