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Hands-on senior data platform engineer at a consultancy, designing and building cloud-native data platforms and real-time pipelines using Databricks, Snowflake, AWS/GCP, Spark, Kafka, and Airflow for enterprise clients.
Design and lead the build-out of a modern, real-time data platform for a large bank’s transaction banking unit, using Databricks, Spark, Kafka, and Azure to power analytics, AI, and regulatory reporting.
Join Schwarz Digits ¿Es usted el solicitante adecuado para esta oportunidad? Descúbralo leyendo el resumen del puesto a continuación. - IT Hub of Europe's Largest Retail Group.At Schwarz Digits Spain, we provide…
Build and maintain scalable, cloud-native backend services in Python (FastAPI, SQLAlchemy) for a global health-tech platform that connects patients to experimental treatments using AI.
Data engineer building pipelines, document parsing systems, and LLM-powered applications for a FinTech investments firm in Singapore, using Python, SQL, cloud warehouses (Snowflake/BigQuery/PostgreSQL), orchestration tools, and OpenAI/Anthropic APIs.
Senior Software Engineer at a multidisciplinary engineering consultancy building embedded, industrial, medical, IoT, cloud, and real-time systems software using C, C++, C#, Python, and Linux.
The Data Engineer will manage the full data engineering lifecycle, delivering end-to-end solutions for analytics and knowledge management platforms. The role focuses on optimizing data architecture stacks and integrating workflow applications within high-availability environments.
The Director of Data Platform Engineering will lead the strategy and engineering for the Global Transaction Banking data platform, utilizing Databricks to support analytics, AI, and transaction banking. This leadership role involves managing global engineering teams, overseeing platform architecture, and driving modernization initiatives.
Backend Engineer designing and shipping REST APIs, modeling data across Postgres and graph databases, and operating Python services on AWS/Kubernetes for Mem0's AI agent memory layer platform.
Senior engineer builds and maintains the AI context layer and full-stack features for a SaaS platform, integrating knowledge graphs, React frontends, and Python backends to power intelligent agents.
Lead a team to architect, scale, and maintain ID.me’s high-availability PostgreSQL and Identity Trust Graph databases while enforcing strict SRE practices and regulatory compliance for secure identity verification services.
Build and maintain a financial knowledge graph to model complex relationships between companies, industries, and economic insights using graph databases and Python.
As a Data Engineer consultant, you will design and maintain robust data pipelines and infrastructure for various clients while contributing to internal knowledge sharing and technical strategy. The role requires expertise in Big Data technologies, cloud platforms, and programming languages like Python, Java, or Scala.
The Senior Data Engineer will design, build, and maintain enterprise-scale data pipelines and infrastructure to support analytics and AI initiatives. The role involves managing Kubernetes environments and collaborating with stakeholders to ensure data reliability and security within a healthcare context.
The Full Stack Developer will build and maintain end-to-end features for gaming systems using React, Node.js, and Python. The role involves collaborating with cross-functional teams to ensure high performance and reliability across web and mobile platforms.
Senior Java Backend Engineer on the Digital Twin Platform team, translating architectural visions into low-level designs and implementing high-scale microservices using Java, Spring Boot, Docker, and Kubernetes.
Forward Deployed Engineer building Python automation, data migration tooling, and API integrations for customer environments across defense, aerospace, and commercial sectors, working heavily with PostgreSQL, Dgraph, Kubernetes, and identity systems like Keycloak.
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans…
Builds and maintains data pipelines for ingesting, parsing, and structuring unstructured financial data (PDFs, HTML, XBRL) while integrating LLM-powered AI systems for retrieval and analytics in a FinTech context.
Leads a growing team of applied ML scientists to develop and deploy fraud detection and identity verification models for SentiLink’s fintech solutions, driving product strategy and technical decisions while ensuring AI safety and data governance.
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