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TOPSYS IT is Hiring! Job Title: Solution Architect – Data & AI Platform Location: Remote Duration: Long Term Contract Lead enterprise Data & AI architecture using Databricks Lakehouse, Delta Lake, Unity Catalog, Spark,…
Acts as a Data Engineering Consultant developing, optimizing, and governing ETL/ELT pipelines using Azure Databricks, managing data governance with Unity Catalog, and collaborating on data solutions.
The Senior AI Engineer designs and deploys Generative AI solutions, including LLMs, RAG architectures, and agents, to enhance enterprise automation and decision-making. The role involves integrating AI models with enterprise data platforms on AWS and Azure while ensuring model security, quality, and performance.
About the Opportunity The Dayforce Data Platform team is building the next generation of our enterprise data platform. We are looking for a software developer who enjoys building services, APIs, frameworks, and core…
Design and implement secure, scalable Databricks foundations and Unity Catalog governance layers for enterprise environments. Focus on data engineering, security, and cloud storage integration.
Senior Data Engineer(Databricks) Location: Remote from Spain (an indefinite Spanish employment contract) ¿Tiene las habilidades necesarias para este puesto? Lea todos los detalles a continuación y presente su…
Leonardo S.p.A. è alla ricerca di un Data Analyst per le sedi di Roma Laurentina e Catania. La risorsa analizzerà grandi volumi di dati, progetterà pipeline di elaborazione batch e streaming e collaborerà con i team di…
Develop AI, GenAI and Agentic AI prototypes using Azure, Databricks, and LangChain for a Trading & Supply team. Responsibilities include building RAG solutions, deploying agents, and managing scalable AI workflows with Python and SQL.
Senior Databricks Consultant at a data and AI consultancy, designing, building, and optimizing scalable data engineering solutions using Databricks, PySpark, and SQL for enterprise clients' Lakehouse programs.
Who are we looking for? Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. Are you an expert in the world of data engineering with…
The Senior Data Modeler will design conceptual, logical, and physical data models and dimensional structures within a modern cloud data platform. The role involves collaborating with data engineers to implement data flows and establish consistent modelling standards using technologies like Databricks and lakehouse architectures.
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Staff Engineer builds and scales Serko’s global travel-tech data platform, owning architecture, pipelines, and governance while mentoring teams on Java, distributed systems, and cloud-native data stacks.
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using Apache Spark, PySpark, and cloud data services to enable enterprise analytics.
Builds and maintains data pipelines for market/economic/news data to fuel AI/quant models, designing scalable architectures (bronze/silver/gold) and ensuring data quality, metadata, and security in a fintech environment.
Leads the build and maintenance of a modern data platform using Azure services, PySpark, and SQL to enable analytics and reporting for a large fintech company.
Designs and oversees scalable data pipelines, pipelines, and integrations for enterprise planning, leveraging SQL, Python, PySpark, and cloud/data tools to optimize data flows and ensure high-performance data processing.
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