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Workplace Manager
About Cogent Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and…
AI Engineer - Gen AI & Agentic Solutions
Build and deploy generative AI and agentic workflows (RAG, conversational AI) on Databricks/AWS to improve wealth-management services, integrating enterprise data and tools securely.
Azure Platform Engineer — Cloud Infra, Kubernetes & Data
Designs and migrates cloud-native data platforms to Azure, Databricks and Fabric, automating infrastructure with Python, IaC and Kubernetes while ensuring security, observability and cost-efficiency.
Software Engineer - Lakehouse and AI Data Platform - Warsaw - Analyst / Associate
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI platform, using Python, SQL, Spark, and Snowflake to support analytics and AI use cases at a global investment bank.
Software Engineer - Lakehouse and AI Data Platform - VP - Warsaw
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases at a global investment bank.
Senior Data Engineer (m/f)
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing interactive dashboards and full-stack web apps.
Data Engineer (ETL Specialist)
Build and maintain a Databricks-based BI platform, writing PySpark ETL pipelines and orchestrating workflows in Azure Data Factory to feed Power BI dashboards for a global security services company.
Data Engineer (ETL Specialist)
Build and maintain Databricks-based ETL pipelines and lakehouse architecture to power Securitas’ global BI platform, using PySpark, Delta Lake, and Azure Data Factory.
Staff Data Scientist
Build and deploy deep-learning models in Python (PyTorch/TensorFlow) that generate billions of supply-chain predictions daily, collaborating with engineering and product teams.
Data Engineer - Databricks
Build and optimize Databricks Lakehouse pipelines for clients, turning raw data into governed, AI-ready assets using PySpark, Delta Lake, and Unity Catalog.
Cloud Engineer
Designs and deploys cloud data lakehouses on Databricks, builds autonomous AI agents, and sets up governance frameworks to turn raw data into commercial insights.
Data Scientist, AI
Build and deploy generative AI systems using LLMs, RAG, and agentic workflows to improve customer experience and operational efficiency at Virgin Australia.
PEGA Data Science and Analytics
Builds and maintains Databricks/PySpark notebooks and SQL queries to analyze Pega CDH customer data, enabling faster model feature rollouts and standardized marketing analytics for a fintech firm.
Alliance Manager - Databricks, Google Cloud & Snowflake
Partner Relationship Management Your most important asset is the quality of your named relationships inside each partner’s field organization. This is not a transactional inbox-management role; it is a sustained…
Subject Matter Expert (SME) DevOps Engineer
Senior DevOps engineer designs and automates secure, scalable deployments for government systems, embedding security and CI/CD to enable continuous delivery of mission-critical software.
Software Engineer II - CoreAI
Builds AI-powered developer tools and data platforms that measure and improve engineering productivity at Microsoft, using Python, dimensional modeling, and agentic AI.
Data Engineer (Azure/Databricks) | SR (Remote)
Build and maintain scalable data pipelines using Azure Databricks, Data Factory, ADLS, and Python to ingest, transform, and serve high-quality data for analytics and AI workloads.
Senior Software Engineer
Senior engineer building advanced, low-level software systems for U.S. government missions, solving complex technical problems and integrating mathematical solutions into deployed systems.