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Customer Data Engineer - Cloud Data Pipelines & AI
Customer Data Engineer designing cloud-based data pipelines and ETL/ELT solutions using SQL, Python, and Spark across consumer, financial services, and energy & utilities sectors.
Hybrid DevOps Engineer: Cloud, Containers & Security
Hybrid DevOps engineer maintains secure, containerized cloud infrastructure, automates deployments, and enforces security policies for an IT security consultancy.
DevOps Engineer
Designs and maintains cloud infrastructure, CI/CD pipelines, and monitoring systems for a client in Torino, leveraging AWS/Azure/GCP, Kubernetes, and IaC tools to ensure scalable, secure, and automated IT operations.
AI-Driven Python Developer — Remote, Training & Growth
Design intelligent agents using Python and Generative AI tools like LangChain, with AWS, Docker, and Git in a Bologna-based role offering remote flexibility.
Freelance Software Developer – Azure Cloud, Javascript, Python
Develops and optimizes full-stack applications on Azure Cloud, refactors JavaScript/Python code, and supports cloud components, containers, and IoT technologies while collaborating with stakeholders.
Software Engineer
Builds and evolves a quantum execution platform by designing quantum algorithms, optimizing backend integrations, and improving the execution system for scalable quantum simulations.
Software Engineer, Backend - L3 (Python)
Designs and builds scalable backend services in Python for Haptik’s conversational AI products, working with microservices, cloud platforms, and databases to support enterprise customers.
Senior Backend Engineer (TS/Python/C#) — Remote
Kake is looking for a Senior Backend Engineer to build and scale backend services using TypeScript, Python, or C#. The role involves end-to-end ownership of services, API design, and architectural decision-making in a collaborative team environment.
AI Engineer (Python Software Engineer + GenAI) | Digital&IPA
The AI Engineer designs and implements AI-based applications using Python, LLMs, and orchestration tools like LangChain. The role involves building scalable, secure architectures on cloud platforms and integrating them into enterprise environments.
Senior Backend Python Engineer — Remote + Stock Options
IndieBI is seeking a Senior Backend Python Engineer to develop sales intelligence services for the gaming industry using FastAPI, data pipelines, and cloud infrastructure.
Data Mapping & ML Engineer
The Data Mapping & ML Engineer will design and implement data mapping, ML-driven matching, and semantic models to enhance data transformations. The role involves building scalable pipelines using Databricks, PySpark, SQL, and Python while ensuring data governance and architectural alignment.
Senior Global Data Platform Engineer
Senior Data Platform Engineer responsible for managing and evolving PMI's data infrastructure—data catalog, quality, lineage, and observability components—on AWS using tools like Snowflake, Databricks, dbt, Terraform, and CI/CD pipelines.
Senior Cloud-Native Data Platform Engineer
The Data Engineer will develop scalable cloud data platforms, build data pipelines, migrate data to the cloud, and manage Data Lake/Lakehouse environments. The role requires expertise in Python, SQL, Spark, and cloud-based data technologies.
data engineer for cloud-native data platforms
The Data Engineer will design and build scalable, cloud-native data platforms and ingestion pipelines using Python, Spark, and cloud technologies. The role involves optimizing data infrastructure, implementing CI/CD practices, and collaborating with ML teams to support AI-ready data workflows.
Senior Data Engineer — PySpark, Python, ADF
Hirexa Solutions is looking for a Senior Data Engineer to design and optimize scalable ETL/ELT pipelines using PySpark, Python, and Azure Data Factory. The role involves collaborating with cross-functional teams to ensure high-quality data processing in a cloud environment.
Cloud Data Engineer — Build Scalable Data Lakes & Pipelines
The Cloud Data Engineer will design, build, and optimize scalable data processing platforms and data lakes using Azure cloud technologies. The role involves collaborating with analytics teams to manage large-volume data projects.