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Manager, Partner GTM Planning and Analytics
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
Senior AWS Data Engineer
Design and build secure, governed AWS data lakes and pipelines for a global investment firm, using Python, PySpark, Athena, Iceberg, and Terraform.
Lead Product Analyst
Lead Product Analyst builds and scales data infrastructure for a B2B meal-organization platform, analyzing user behavior and driving product decisions with SQL, Python, and BI tools.
Principal Solutions Architect - Expert Services
Leads enterprise AI transformation programs by designing scalable solutions combining agentic AI, knowledge graphs, and cloud technologies to connect disjointed data into intelligent systems for automation and decision-making.
Head of Digital Marketing, Americas
About the role Within the Global Digital Growth department, and under the Head of Digital Marketing, the Head of Online Acquisition & Retention is responsible for leading the internal execution of the global…
Information Governance Systems Analyst
Administer and maintain information governance systems (primarily iManage) at a law firm, ensuring data integrity, processing data with SQL and Python, and supporting system integrations and reporting.
Payments Operations Transformation Group Manager
Czym będziesz się zajmować? Responsibilities: Define the strategy and roadmap for AI-enabled Ops UI adoption across Services Operations. Lead AI-driven automation and workflow improvements to increase Straight-Through…
Data & Automation Consultant: Analytics + DevOps Lead
A Data & Automation Consultant builds and optimizes data pipelines, automates workflows, and ensures secure, scalable data delivery for clients while mentoring teams in DevOps/DataOps practices at an offshore services firm.
Proposal Solution Architect
Designs secure, scalable federal IT solutions bridging client needs and technical execution, focusing on cloud modernization, cybersecurity, AI, and compliance for government contracts.
Analytics Engineer (OVA5693)
Builds and maintains scalable data models, pipelines, and APIs for a fintech firm, translating business needs into governed datasets while mentoring junior engineers.
Data & Analytics Engineer
Builds and maintains data models, pipelines, and governance frameworks for a financial services firm, translating business needs into scalable data solutions while mentoring junior engineers.
Data Governance & DLP Engineer
Lead data governance and DLP for Microsoft 365 E5 and Netskope SSE, classifying data and tuning controls to ensure compliance and audit readiness.
Senior Data Engineer
Designs and builds Spark-based data pipelines for SWIFT’s Gold layer Data Warehouse, ensuring enriched, reliable datasets for payments analytics. Focuses on ETL, data quality, and collaboration with business teams to support global fintech operations.
Senior Data Engineer
The Senior Data Engineer will design and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure high data quality across the organization.
Senior Data Engineer
Designs and builds a governed enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, shaping data ingestion, modeling, and governance for SAP/manufacturing domains.
Research Software Engineer: Health Data & AI Platforms
Design and build data systems for pandemic therapeutics research, integrating biological and clinical datasets with AI tools at the Doherty Institute.
Senior Data Engineer
Vivanti Consulting is seeking a Senior Data Architect to design enterprise-scale data solutions and bridge the gap between business strategy and technical engineering. The role involves working with cloud platforms like AWS, Azure, and GCP to build modern data architectures and implement data governance frameworks.
AI/ML Engineer: End-to-End ML, MLOps & Data Pipelines
Build and deploy AI models end-to-end, from data pipelines to production, using Python and frameworks like TensorFlow or PyTorch.