Java software engineer engineering tools állások, munkák adatbázisszakértő kategóriában

What awaits you? •Work as a fully integrated member of the financial reporting team, supporting daily operations. •Participate in system testing and optimization for AI-enabled financial tools. •Dive into diverse challenges: from AI chatbots, machine learning and data analytics to software...

• Design, develop and maintain data pipelines and workflows to handle large volumes of data
• Ensure data quality, reliability and scalability
• Optimize query performance
• Develop and maintain data models and schema definitions

• You will take a key role in developing our secure edge platform for real-time data processing applications.
• You will design, implement, and evolve robust, and observable platform components, APIs and SDKs for developing, deploying, and operating real-time applications.

Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) – linking strongly to IOT data and other proprietary data sources...

• You will support on extracting, loading and processing (cleaning and transforming) complex data across different industries
• You will use your technical expertise to develop, test and deploy ML models based

Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules Deliver projects independently or within a mixed DS/DE team setup, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS...

• Oversee daily operations of data platforms and pipelines to deliver accurate, timely data to business teams.
• Track and report on operational KPIs such as data uptime, freshness, and incident response.

The rapidly growing Forensic department is currently seeking the right candidates for an excellent career opportunity in the Forensic Technology and eDiscovery team....

• Data Product Development: Design, develop, and deploy scalable data products that provide meaningful insights to business stakeholders.
• Data Mart Infrastructure: Build and maintain a robust data mart infrastructure within AWS Redshift to support reporting needs.

• Developing software solutions for the control and analysis of high-precision optical systems (e.g., cameras, light sources, optical sensors)
• Implementing image processing and measurement algorithms to optimize optical measurement and analysis tools

Stakeholder Collaboration, Business Understanding & KPI Generation: Partner with business stakeholders to understand their needs, implement business logic and co-create impactful KPIs...

• Maintain and manage FI data operations, ensuring accuracy and consistency across systems
• Support annual planning templates and collaborate with business units using SAP BW and MS Power BI tools for planning cycles

As team leader, you will be responsible for setting up, developing, and managing a central data development pool consisting of three specialized data engineers, whom you will lead as team leader. Your tasks will include: • Technical management and coordination of the data engineering team of at...

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and algorithms. Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets. Develop and support semantic...

Serve as a trusted advisor for HANA Cloud migrations, guiding customers in transitioning from legacy systems to cloud-native data platforms while connecting solutions to business outcomes....

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

Developing innovative solutions that advance AI/ML systems for mobility services Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols Conducting research on AI safety and alignment topics Identifying research gaps...

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues