Tech jobs
Job listings
Data DevOps Engineer - temporary
Design and migrate data pipelines to Azure, automate with Airflow and CI/CD, and lead streaming initiatives using Kafka and Microsoft Fabric.
AI/ML Engineer
Build and deploy generative AI models using LLMs, RAG, and vector databases. Engineer AI agents with PyTorch/TensorFlow and Azure AI, and implement MLOps pipelines.
Full-Stack Data Engineer
Build and maintain cloud-based data pipelines and APIs to process real-time energy data from smart meters and IoT devices, using Scala, Python, and Databricks.
Full Stack Engineer
Lead engineer building a real-time financial data hub using Java/Spring Boot and Kafka, migrating from batch to event-driven pipelines while mentoring the team.
Full Stack Engineer - Data Quality
Build and maintain full-stack systems that ingest and clean e-commerce data (ads, screenshots, emails) using TypeScript, SQL, and AI tools to ensure accuracy and reliability for competitive-intelligence clients.
Python Software Engineer (Junior / Fresher) - Việc làm HOT
Build backend services and data pipelines for a research and trading platform using Python, while leveraging AI tools to accelerate development and maintain clean, scalable code.
Senior/Lead GCP Data Engineer
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products used by millions of banking customers.
Software Data Engineer (AWS)
Build and maintain cloud-native data pipelines on AWS, ingesting manufacturing data via Kafka and transforming it into a lakehouse for analytics and ML workloads.
AI Engineering Manager (Full-Stack) - Milano
Lead a team building scalable AI and data platforms for enterprise clients, designing cloud-native architectures, MLOps pipelines, and generative-AI solutions using Python, Spark, and cloud stacks like AWS/Azure.
AI DATA ENGINEER
Builds and optimizes large-scale data pipelines with Apache Spark and Azure, applies ML techniques, and deploys models end-to-end for a tech company in Bologna.
IDF Dataflow Analyst
SFI is seeking an IDF Dataflow Analyst to support a large-scale data modernization initiative transitioning legacy, on-premise systems into a centralized, high-availability cloud data platform. This role is part of a…
AWS Data Lake Architect | Lakehouse & Pipelines
Designs and builds a modern AWS-based data lake and lakehouse platform, focusing on ingestion, transformation, and scalable pipelines using AWS Glue, S3, Redshift, Lambda, and Step Functions.
Lead / Senior Software Engineer, Data Programme
Lead/Senior Software Engineer building and maintaining Singapore’s government-wide data infrastructure, including cloud-based pipelines, APIs, and observability systems using DevOps and distributed computing tools.
SGunited Jobs Data & AI Platform Engineer
Build and maintain AI-powered document parsing pipelines using OCR, VLM, and RAG to extract, index, and retrieve structured data from PDFs, images, and videos for GenAI applications.
Big Data Analytics & Reporting Engineer
Designs and builds big-data pipelines and reports using Cloudera, PySpark, SQL, and BI tools to deliver clean, accessible datasets and dashboards.
Data & AI Platform Engineer-
Build and maintain AI-powered document parsing pipelines, OCR/VLM systems, and RAG knowledge bases on Azure to extract and structure data from PDFs, images, and videos for GenAI applications.
12 months Contract - Senior Data Engineer (Through an External Agency Payroll Provider)
Build and maintain scalable data pipelines and backend services for wealth-management analytics using Python, Spark, SQL, and cloud platforms like Azure.
Data & Integration Engineer (GenAI)
Designs and builds data pipelines and integrations to feed GenAI systems, working with APIs, batch processes, and enterprise tools like Informatica and Cloudera.
Real-Time Data Platform Engineer
Build and optimize real-time data ingestion pipelines using Hadoop, Flink, and Kafka to support scalable, low-latency systems for millions of users.
GenAI Big Data Engineer (Financial Services) Manager, Technology Consulting
Lead big-data engineering projects for financial-services clients, designing Hadoop-based pipelines, cleaning messy data, and delivering actionable insights using Java/Python and ETL tools.