科技職缺
職缺列表
AI Engineer - Machine Learning
Senior ML Engineer enhancing a client's Databricks data platform with AI capabilities, owning the full ML lifecycle from data through deployment and monitoring. Core stack: Azure AI, Databricks, Python, PySpark, plus modern LLM patterns (RAG, embeddings, agent design).
Ищем Data Scientist / ML Engineer
Builds end-to-end ML and mathematical-optimization solutions with a focus on time-series forecasting and LP/MILP models, using Python, SQL, XGBoost/LightGBM/CatBoost, and tools like Pyomo, OR-Tools, and Gurobi, plus data prep, evaluation, and integration into business processes.
Software Engineer (Data Governance)
Build and maintain scalable data governance frameworks, analytics pipelines, and executive reporting solutions on Apple's Dublin Data Governance team, working with big-data technologies like Spark, Snowflake, Kafka, and cloud-based distributed systems.
Data Engineer (Databricks)
Maintain, support and evolve client Big Data applications using Python and PySpark on Databricks within a banking-sector project at Sopra Steria, a European IT consultancy.
Middle/ Middle+ Data scientist (Центр модельных рисков розничного бизнеса)
Data Scientist in Sberbank's retail model risk center, validating and monitoring Classic ML (uplift, response) and NLP models on tabular data; building alternative solutions and automating validation workflows in Python.
Junior Data Engineer
Junior Data Engineer building and developing data layers (RAW, ODD, DDS), designing data marts, optimizing ETL processes and queries, and supporting code review/CI-CD. Core stack: Vertica, ClickHouse, Python, Airflow, PySpark, Hive.
BI-аналитик
BI analyst building data marts and dashboards for credit-risk management reporting at Sberbank, working with SQL, Python, PySpark, PostgreSQL/ClickHouse, and Hadoop; also helps develop an internal AI agent for analytical queries.
Системный аналитик DWH
Systems analyst for a Sberbank data warehouse team automating credit-risk calculations for regulatory reporting. Day-to-day work involves business-requirement analysis, SQL-based prototyping, task handover to developers, Confluence documentation, and using AI tools (GigaChat, Kandinsky, AI agents).
Prinicipal, Data Engineer
About Us Mercedes-Benz USA is responsible for the marketing, sales, and service of Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values.…
Senior AI Engineer
Designs and builds agentic AI workflows and RAG pipelines on Azure/Databricks for healthcare data, developing LLM-powered microservices and clinician-facing apps with strong LLMOps, big data, and HIPAA-compliant practices.
Senior Manager, Financial Analytics & Treasury Data
Job Description What is the opportunity? The Senior Manager, Financial Analytics & Treasury Data will partner with traders, data analysts, and teams across Corporate Treasury to deliver analytics and develop data
Senior Data Analyst
• Flexible and hybrid working that supports when, where and how you work • Modern cloud data stack • Work from home options | team connection days Grant Thornton Australia is one of the world's leading…
Senior Data Science Consultant
Senior Data Science Consultant at Wells Fargo leading advanced analytical initiatives using Python, SQL, SAS, PySpark on GCP to build statistical and machine learning models that convert large datasets into actionable business recommendations and strategies.
Senior Data Engineer
Senior data engineer designing and developing autonomous ETL/ELT pipelines using Python, PySpark, SQL Server, and Apache Airflow; managing lakehouse architecture on Kubernetes/Docker in on-premise environments; and mentoring junior engineers.
Lead Software Engineer - Data Engineer
Lead Software Engineer at Wells Fargo building enterprise-scale data engineering solutions on Google Cloud Platform. Designs scalable ETL/ELT pipelines with Python, PySpark, SQL, BigQuery, Dataflow, and Cloud Composer, while driving technical direction and mentoring engineering teams.