科技職缺
職缺列表
Data Engineer I
Build and maintain data pipelines, models, and workflows for analytics at DHL Supply Chain, ensuring data governance and quality across integrated systems in a remote role.
Sr. Applied AI Engineer - Wellness
Builds and deploys ML pipelines, AI agents, and retrieval pipelines for a wellness-focused AI company. Designs production databases and caching layers, integrates with CRM systems, and collaborates with product and engineering teams.
AI Engineer
Build production-ready GenAI solutions and multi-agent AI workflows as an AI Engineer, developing Python backends, React frontends, RAG pipelines, and integrating with Azure services. Responsibilities span MLOps/LLMOps, observability, governance, and performance optimization.
Data Engineer Lead
Lead data engineering efforts building ETL/ELT pipelines and scalable cloud-native data platforms while driving architecture decisions, mentoring engineers, and implementing data governance, quality, and lineage practices.
Senior Data Engineer (MS Fabric Experience)
Senior data engineer designing and building cloud-native data platforms on Microsoft Fabric — building end-to-end ETL pipelines, lakehouse/warehouse models, semantic models, and Power BI reports within agile teams.
Data Scientist
Data scientist role analyzing large multi-source datasets, building rapid analytic prototypes, developing statistical models, and creating reproducible data workflows via API-based retrieval and integration.
ETL Developer
ETL Developer role focused on building, maintaining, and optimizing ETL/ELT data pipelines. Day-to-day work includes analyzing pipeline logic, migrating legacy ETL jobs, implementing CDC and streaming ingestion, data cleansing/validation, and supporting data reconciliation.
Data Engineer
Build and maintain scalable ETL/ELT pipelines and governed data products, using AI tools to automate data engineering work. Day-to-day focus is on SQL transformations, enterprise data modeling, deploying pipelines across Dev/QA/Production, and peer code reviews with architects.
Data Platform Engineer
Data Platform Engineer at Harman International building data lakehouse architectures, ingestion pipelines, and data APIs to curate datasets for AI/ML, with responsibility for governance, data quality, and pipeline reliability.
Data Analyst (GAT)
Data Analyst supporting Xerox's Global Analytics Team: analyzes trends, risks, and performance metrics, builds BI reports and dashboards, automates reporting, validates data from systems/databases, and presents findings to stakeholders.
Data Engineer
Data engineer building, automating, and maintaining data pipelines while implementing data quality checks, scheduling workflows, and collaborating with analytics teams.
Junior Data Engineer (m/f/d) - Martech
Junior data engineer building and maintaining AWS-based batch and streaming data pipelines, ensuring data quality, and operationalizing ML models for Home24's martech stack.
Machine Learning Engineer
Build and deploy ML pipelines at Darwill using Databricks, covering training/serving workflows, feature engineering, model monitoring with drift detection, experiment tracking, and A/B testing for marketing models.
Data Analyst
Data Analyst role analyzing workforce data, building and maintaining reports and dashboards, automating recurring reporting, developing reusable data models, and ensuring GDPR-compliant data quality and governance across HR and business systems.
Data Engineering Lead (GCP, Bigquery, ETL, Prompt Engineering) Associate Director
Lead a data engineering squad at HSBC building and operating batch/streaming data pipelines on GCP/BigQuery, owning data platform architecture, governance, lineage, FinOps, CI/CD, monitoring, and ETL/ELT delivery while coaching engineers.
AI Data Engineer - Early Career
Early-career AI Data Engineer at DarioHealth building dashboards, KPIs, and ETL/ELT pipelines while contributing to AI-enabled automation. Day-to-day work involves writing Python and SQL, maintaining data models and warehouses, and ensuring data quality and reliability.
Senior QuickSight Analytics Engineer
A senior analytics engineer who develops Amazon QuickSight dashboards and data models, automates reporting with Python, designs data pipelines, and integrates data from multiple sources to build reliable analytics datasets.