Php help css javascript jquery állások, munkák adatbázisszakértő kategóriában

ABOUT THE ROLE Our data estate combines modern cloud platforms (Snowflake, Databricks, Microsoft Fabric on Azure, Power BI) with on-prem SQL Server databases we are modernizing. Each platform has an expert domain architect. What we need now is the architect who makes them work together as one...

Implementing and supporting VB.NET based software solution as part of the run and maintain team...

• Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
• Build and optimize high‑performance data models for analytics
• Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

• Supporting clients in the digital transformation of complex infrastructure and large-scale projects
• Designing and further developing GIS solutions
• Migrating and harmonizing geospatial data
• Integrating different systems and data sources
• Developing modern GIS solutions for infrastructure projects

• Establishing data feeds with custodian banks, data vendors, and other service providers
• Supporting senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automating and centralizing existing data integration processes

Process streamlining and automation: Leverage your programming expertise and AI knowledge to enhance internal systems, automate processes for Compliance and CLI and add some AI into the Departments’ day to day work....

Own systems end to end: Design, build and run features across frontend and backend, from technical approach through deployment and support in production....

• Write code that is simple, readable, testable, and maintainable, whether you write it yourself or with the help of AI tools
• Conduct code reviews, give helpful feedback, actively contribute in team discussions and decisions

Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies...

• Identify, design and evaluate ML and AI approaches for geospatial, Earth observation and unstructured data (e.g. multimodal data fusion), and decide with the team which methods best fit humanitarian challenges
• Keep track of the state of the art in AI and turn new ideas into prototypes and products

• Careful and accurate annotation of complex data
• Management and processing of large datasets
• Improvement of annotation workflows (semi-supervised annotation, weak labeling, etc.)

You own line management for a distributed team of Machine Learning Engineers and Data Scientists - running regular 1:1s, setting development goals, and driving performance reviews and career growth....

• Supporting the migration of ETL pipelines between source systems and Snowflake
• Using SQL to validate data, check data quality, reconcile datasets, and identify discrepancies
• Monitoring pipeline executions, investigating issues, and helping resolve technical blockers

• Define end-to-end architecture for on-prem / air gapped AI platforms, including compute, storage, networking, and model serving layers.
• Design and implement portable AI infrastructure using open-source components (model serving, orchestration, vector storage, pipelines).

take responsibility as Tech Lead Search for the technical quality and architecture of our product retrieval and embedding capabilities based on OpenSearch....

• 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.

You design and develop high-end C++ components for our medical desktop applications, with a strong focus on performance, stability, and scalability....

• Design and build backend services in that handle high-throughput, low-latency messaging traffic
• Work on core infrastructure: message queues, delivery guarantees, connection handling, and storage layers
• Debug and optimize systems under real production load, not just in benchmarks

• You work on tasks together with your peers and find your way around our codebase and tools.
• You're getting to know the team and the team.
• You're getting familiar with energy specific wording and processes.
• You actively use our AI-first setup.

• Develop an efficient and reproducible workflow for application-oriented machine learning solutions.
• Be involved in sample preparation and data acquisition in the laboratory for full data ownership