科技職缺
職缺列表
Oracle Database Administrator
Administer Oracle 19c databases on Linux for Raiffeisen Bank's tech team, handling backup/recovery with RMAN, high availability with Oracle Data Guard, and storage with Oracle ASM in a 24/7 mission-critical environment.
Data Scientist
Analyze retail pricing data and build/maintain ML models for time series demand forecasting and pricing optimization at an AI-driven retail pricing platform. Collaborate with engineers, product managers, and domain experts to design, validate, and productionize forecasting and machine learning solutions end-to-end.
Senior DevOps Engineer
Senior DevOps Engineer at RedCore building and supporting infrastructure on AWS using Terraform, Ansible, Helm, and Kubernetes (EKS), with CI/CD via GitLab CI and ArgoCD GitOps. Day-to-day work includes writing/maintaining IaC, managing K8s clusters, troubleshooting cloud services, and occasional Linux/bash scripting.
QA Embedded
QA Embedded role testing hardware and microcontroller-based devices (STM32). Day-to-day work includes executing test cases, investigating defects, maintaining test documentation, using measurement equipment (oscilloscope, multimeter, lab power supplies), analyzing firmware logs, and working with peripheral interfaces (UART, SPI, I2C).
DevOps (Senior)
Senior DevOps engineer for a fast-growing iGaming brand, working fully remote from anywhere. Owns Linux/cloud infrastructure, container orchestration (Docker/Kubernetes), IaC, CI/CD pipelines, databases, monitoring/logging, and networking across a global platform.
DNPJ-SDAT-Data Analyst / Analyste de données (junior)
Junior data analyst at the French Ministry of Interior preparing, cleaning, and integrating data from multiple sources while collaborating with business and IT teams to automate and document workflows.
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.
Python AI Engineer
Build AI-powered products end-to-end with Python, designing LLM workflows, AI agents, and multimodal solutions, plus analytics platforms that fuse geospatial, IoT, and image data into production dashboards and automation tools.
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.
Senior Artificial Intelligence/Machine Learning Engineer
Builds LLM-powered agents and workflows with production guardrails, instruments cost and quality telemetry, integrates with data sources, and writes and runs LLM evaluations in a senior AI/ML engineering role.
Full Stack Developer (Intern)
Intern-level Full Stack Developer at Spredo, maintaining an AI-based B2B outreach automation platform on Telegram. Day-to-day work involves bug fixing, feature development in Python/React/Docker, client support via Telegram, and using Claude/AI-agent tools to ship faster — fully remote, ~30 hr/week.
Senior Data Engineer (Snowflake)
Senior Data Engineer building production-grade Snowflake ELT/ETL pipelines and data products at a Kraków fintech. Day-to-day work centers on Snowflake data modelling, dbt/Airflow pipelines, SQL/Python automation, and AI-assisted development.
Digital Marketing Operations (Data), Client Segments, Associate, Wealth Management
About Us : Morgan Stanley is a leading global financial services firm providing investment banking, securities, wealth management, and investment management services. With offices in more than 40 countries, our people…
Cyber Full-Stack Software Engineer
Full-stack engineer on Deloitte's Cyber Engineering team building next-generation cybersecurity technology. Designs and develops frontend/backend applications with modern cloud stacks and integrates AI/GenAI capabilities across AWS, Azure, or GCP.
Fabric Architect
Lead architect/engineer designing and delivering Microsoft Fabric data platforms—Lakehouse, Warehouse, and OneLake—for Deloitte client engagements. Builds medallion architectures, ETL pipelines, governance/RBAC, and semantic models hands-on using PySpark, SQL, Dataflow Gen2, and dbt.