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AWS Data Engineer – Cloud Data Platform & ML Enablement
Builds and maintains AWS-based data pipelines, transforming raw data into structured formats for analytics and ML models, with a focus on cloud-native architectures and automation.
AWS Data Engineer — Data Lakes, Cloud Infra & CI/CD
The AWS Data Engineer will build and maintain scalable data infrastructure, including data lakes and pipelines, using AWS services, Docker, Kubernetes, and Infrastructure as Code. The role involves collaborating with architects to support analytics and machine learning initiatives.
AWS Data Engineer - Build Scalable Data Lakes & CI/CD
AWS Data Engineer designing and building scalable data lakes on AWS, performing data acquisition, transformation, cleansing, and loading for analytics and ML workloads, using Docker, Kubernetes, and serverless Lambda.
Senior Big Data Engineer: Spark, Kafka & Cloud
The Senior Big Data Engineer will work on large-scale data intelligence projects using Spark, Kafka, and cloud platforms. The role involves data management, analytics, and visualization within an international team.
Azure Data Engineer: Bridge Data Science & Engineering
Azure Data Engineer bridging Data Science and Engineering in a BI-focused team, building data lake pipelines for analytics and ML using Azure, SQL, Spark/Databricks, and ETL/ELT tools.
Azure Data Engineer: Data Science Bridge & Big Data
Azure Data Engineer bridging Data Science and Data Engineering, building ETL pipelines into data lakes for analytics and ML using Spark, Databricks, and Azure data services in a cloud-native environment.
Azure Data Engineer: Bridge Data Science and Engineering
Azure Data Engineer bridging Data Science and Data Engineering, responsible for data acquisition, transformations, cleansing, and loading into data lakes for analytics and ML workloads in cloud-native Azure environments.
AWS Data Engineer: Build Scalable Data Lakes & ML Pipelines
The AWS Data Engineer will design and implement data platform solutions, including data lakes and pipelines for analytics and ML models, using AWS technologies. The role involves collaborating with architects and analysts to deliver scalable data acquisition and transformation processes.
Senior Manager, Growth Marketing
Nymbus (https://nymbus.com/) isn’t just a leader in fintech; we’re a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone…
Founding Engineer
Founding engineer at an early-stage AI startup building enterprise automation tools using Python, FastAPI, LLM/VLM pipelines, and large-scale video data pipelines.
Senior Fullstack Engineer
Senior Fullstack Engineer at an AI-native fintech SaaS company building financial planning and analysis tools, working across the stack with TypeScript, React, Node.js, MongoDB, BigQuery, and GCP.
Senior Fullstack Software Engineer
This role involves developing a business platform using Vue 3, Python, and FastAPI while managing a cloud migration from GCP/Kubernetes to Azure. The engineer will work on data pipelines, integrations, and secure authentication in a collaborative, cross-functional environment.
AI Azure ML Engineer
Architect and deploy end-to-end AI/ML solutions on Microsoft Azure, including data pipelines, MLOps, vector indexes, and retrieval-based AI systems for enterprise clients.
AI & Data Analytics Engineer per Trasformazione Finanza
Working in BDO Italia's AI & Data Analytics team in Milan to automate financial and operational processes using generative AI platforms, APIs, and digital transformation, collaborating with Finance, IT, and business stakeholders.
Senior Data Engineer — Remote, 12+ Month Contract
Builds and optimizes data pipelines, ETL/ELT processes, and scalable data models for SAP/non-SAP systems, supporting BI, analytics, AI, and automation in a cloud environment.
Data Engineer – AI & Big Data for Business (Milano)
Builds and maintains data pipelines, conceptual models, and AI/ML data environments for advanced analytics, collaborating with data scientists to meet client requirements and drive innovation.
Data Engineer
The Data Engineer will design and develop data environments to support Advanced Analytics and AI projects, working closely with clients to translate business needs into technical solutions using Python, SQL, Snowflake, and DBT.