Database administrator állások, munkák it programozás, fejlesztés területen

• Maintenance and enhancement of various Python scripts
• Development of modules for data collection from multiple sources, data processing, and storage in SQL databases
• Development of scripts and modules for data analysis and visualization

• Design and build report templates in Jaspersoft Studio, working on real, production reports for clients in private equity and private capital
• Work side-by-side with Jasper Report Engineers on daily reporting challenges, gaining hands-on experience with the full report development lifecycle

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

Design and maintain scalable Lakehouse architectures and data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support analytics and AI products....

• Microsoft SQL Server operation including maintenance, migrations, administration, configuration
• Support for developers, testers and DevOps engineers about best practices in database operation

• Act as the primary analytical partner for stakeholders in Chartering, Finance, Fleet, or Operations, translating business needs into clearly scoped data solutions.
• Own the roadmap and prioritization of your portfolio of data products in alignment with business priorities.

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• Technikai menedzsment és fejlesztés a csapat felhőalapú adatplatformján és adatmodellein Azure Databricks környezetben
• A Data-Driven Project Modelling (DPM) motor fejlesztése és karbantartása DevOps legjobb gyakorlatok szerint

• Design and maintenance of automated deployment pipelines
• Support and operation of Kubernetes-based platforms and containerized workloads
• Management of infrastructure provisioning and configuration using Terraform
• Deployment and support of Apache Kafka environments

Build and refine the forecasting models that directly shape our trading strategies and maximize the value of renewable energy in the market....

You will join a highly quantitative, forward-thinking Commercial team at the heart of the energy transition. In this role, you combine advanced modelling, data analytics and market expertise to shape hedging strategies, develop innovative energy products and support strategic decision-making at...

• Data assets and strategy: Own pre-training, evaluation and metadata assets, shape their strategy and expand them with new data sources.
• Data roadmap and prioritization: Maintain the short- and long-term roadmap, manage the extraction backlog and coordinate dependencies.

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

Become a trusted partner within Sales Controlling Consumer by mastering end-to-end processes, data flows, governance needs, and timing constraints...

Architect AI Workflows: Design, deploy, and govern E2E, multi-step Agentic AI solutions and automations that target high-volume processes, cross-team friction, and manual back-office tasks....

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Development of cutting-edge CI/CD pipelines
• Streamlining systematic processes
• Maintenance of core gateways
• Ensuring security and integrity of software assets
• Trying out new technologies to improve and expand know-how
• Participation in cross-functional, international agile team

• Work with product line leaders to understand product requirements and vision
• Translate requirements and vision into prioritized list of user stories and deliver to required timelines and quality standards
• Develop multi generation software technology plans with product line leaders and architects

• Lead client discovery and solutioning
• Own the information design layer
• Design and develop executive and tactical BI solutions
• Elevate client reporting maturity
• Leverage AI tools in daily workflow
• Bridge analysis and communication
• Drive semantic model design and development