Python programmer állások, munkák

• Design and implement data pipelines processing large datasets from multiple sources
• Develop, maintain, and optimize ETL processes using tools such as Keboola, custom Python, and SQL-based transformations
• Work with marketing and advertising data sources (e.g. Google Ads, Meta/Facebook, ad servers)

• Daily data production workflows across multiple asset classes including fixed income curves, futures, derivatives, and equity analytics
• Quality assurance checks on incoming vendor data and internally generated analytics

• End-to-end software release process management
• Branch management
• Software version control
• Release note documentation
• Communication with internal and external collaborators
• Release automation enhancement
• CI/CD pipeline improvement
• Defect logging and tracking for releases

• Developing scalable library software using modern tools and languages for various numerical methods
• Performance tuning, optimization, and benchmarking of algorithms on various architectures

• Mitwirkung an Forschungsprojekten des Lehrstuhls
• Eigenständige Arbeit an wissenschaftlicher Qualifikation (Promotion)
• Mitarbeit bei der Erstellung und Weiterentwicklung von Fernstudienmaterialien und Übungsaufgaben für Bachelor- und Mastermodule

• Translation of AI opportunities into executable technical solution designs
• Definition of integration approaches with IT and business application/data owners
• Implementation of AI use cases using enterprise AI services and LLM APIs

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

Mastering Apache Spark and Databricks on AWS/Azure Delivering hands-on project work during bi-weekly sprint model Completing complex capstone projects Shadowing senior consultants on real-life engagements Delivering simulated projects Advising stakeholders and navigating requirements Contributing...

• Integration of IPs and development of logic for subsystems
• Understanding and reviewing subsystem architecture
• Development of microarchitecture specifications
• Review of verification test plans
• Debugging and fixing issues

• Development of APIs for electrolysis systems and analysis devices
• Implementation of autonomous process control
• Conceptualization and implementation of degradation models for electrolysis
• Studying performance and degradation of electrolysis in dependence on different operating modes

• Lead the redesign of B2B underwriting models, including scorecards, decision engines, rule sets, and rating methodologies.
• Continuous improvement of underlying data analysis and existing business processes to support our B2B product expansion in new countries.

• Design and implement automation of data platform
• Develop and maintain data platform infrastructure using Terraform
• Implement and manage CI/CD pipelines for automation of data and AI processes and pipelines
• Automate provisioning, configuration, and monitoring of resources in AWS

• Management and support of Linux servers and RedHat container platforms (OpenShift/Kubernetes)
• Automation of deployment pipelines and system configurations
• Troubleshooting and provision of 2nd and 3rd line support
• Monitoring of system performance and capacity

Analyze and identify credit risks in transactions (loans & derivatives) and understand the impact these have on our portfolio and risk appetite, follow up on transaction execution to ensure loans/trades are booked correctly...

• Preparation and development of the Macroeconomics and Capital Markets Research Team projects
• Maintenance, management and development of databases
• Development of quantitative/valuation models
• Management of the team's chart book
• Excel and Python based file optimization

Analyse security data from diverse sources, including logs, EDR solutions, and network traffic, to identify and assess threats. Coordinate and lead security incident response efforts, including containment, eradication, and recovery....

Analyse security data from diverse sources, including logs, EDR solutions, and network traffic, to identify and assess threats. Coordinate and lead security incident response efforts, including containment, eradication, and recovery....

• Translate data into actionable insights that shape our marketing strategy and investments.
• Partner with marketing stakeholders to identify opportunities, define KPIs, and measure success.
• Build clear, engaging dashboards and reports that highlight trends and tell compelling stories.

• Design, implement, and manage scalable and secure cloud infrastructure using Kubernetes and Azure Cloud
• Develop and manage infrastructure using Terraform and Infrastructure as Code
• Design, implement, and maintain CI/CD pipelines using Azure DevOps and GitHub