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Lead a team to design, build, and optimize scalable data pipelines and platforms using Python, PySpark, SQL, and AWS to support financial services.
Lead the design and evolution of a global data platform using Azure, Databricks, and Python, setting standards and mentoring engineers.
Du willst dort einsteigen, wo Zukunft gestaltet wird und Deine praktischen Erfahrungen einbringen? Dann bist Du in unserem Consulting Team bei adesso genau richtig! ... 1 Lead Data Engineer (all genders) Standorte:…
Design and build scalable cloud-based data processing systems (batch/streaming) using Python/Java/Scala, ensuring high performance and alignment with business needs.
Leads Teradata database administration and optimization projects for government clients, ensuring system reliability, performance tuning, and cross-functional collaboration.
Leads the architecture and development of a data platform for automotive projects, focusing on entity resolution, data contracts, and GCP-based pipelines.
We have an important role to play in securing the region’s clean and reliable energy future and are looking for a Data Engineer to join our team. In this role, you will design, develop, and maintain the enterprise data…
Lead a team building cloud-based data pipelines and warehousing solutions for risk analytics using Java, Python, Spark, Kafka, and Snowflake to empower millions of customers.
Lead the design and maintenance of enterprise-scale data models and architectures, building robust data pipelines with SQL, Spark, and Python to transform large datasets for Capital One’s financial products.
Lead Data Engineer at Capital One drives HR tech transformations by designing, developing, and deploying cloud-based data pipelines, AI/ML solutions, and distributed systems using Java/Scala/Python, Snowflake, and real-time data tools to empower HR workflows.
Lead a team to design and maintain cloud and big-data infrastructure for Cisco’s AI/ML platform, ensuring reliability and scalability while collaborating with cross-functional teams.
Lead the architecture and scaling of Salesforce’s data pipelines and enterprise identity graphs to power AI agents, using Python, SQL, Spark, and graph databases like Neo4j.
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, SQL Server, and Python for a global financial markets infrastructure company.
Leads a team of data engineers to build and maintain a large-scale enterprise data platform, integrating transactional and analytical systems while driving AI adoption in pipelines and governance.
Lead a team of data engineers to design and build cloud-native data platforms (Azure Databricks, Microsoft Fabric) that power automated decision-making and scalable analytics for enterprise clients.
Lead the build-out of Brown-Forman’s cloud data lakehouse and AI-ready pipelines, partnering with business teams to turn analytics and LLM use-cases into production-grade solutions.
Lead a team designing and building scalable data pipelines and architectures for Disney’s guest-facing digital experiences, using cloud platforms (AWS/GCP), SQL, Python, and modern data stack tools.
Description du poste : Au sein de la Direction des Systèmes d'Information et du Numérique du groupe Covéa, la Direction Solutions Data porte les missions de conseil, de développement et d'exploitation de la…
Leads the design and evolution of a modern, scalable data platform at ROIT, defining architecture, standards, and pipelines to support analytics, AI, and business solutions using Python and Google Cloud Platform.
Designs and maintains automated data workflows and integrations using Power Automate, REST APIs, and Power BI to streamline evidence management and reporting in a regulated healthcare environment.
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