Data állások Budapesten (it programozás, fejlesztés)

• End-to-end AI solution ownership
• Partnership with product managers and business stakeholders for problem translation
• Independent planning and execution of research and experimentation
• Design of AI solutions with system-level perspective

• Több forrásrendszeren átívelő töltési folyamatok tervezése, dependenciák megállapítása
• Üzleti adattárház architektúra tervek kialakítása
• Az adattárházban az adat életút teljeskörű logikai kontrolálása
• Az adatbázis, adatfolyam fejlesztésekhez tartozó üzleti igény és koncepcióterv elkészítése

• Lead the design and development of Power BI reporting and analytics solutions for enterprise clients,
• Facilitate workshops and meetings with business stakeholders to understand reporting and analytical requirements,
• Translate business needs into functional and technical specifications,

• Identify AI and automation opportunities across business processes
• Work with different departments to understand processes, pain points and repetitive activities
• Challenge existing ways of working and propose simpler, automated or completely new approaches

WHAT YOU CAN EXPECT IN THIS ROLE (IN SENTENCES)   You will support the daily administrative and operational tasks connected to MOL’s fuel export–import processes. You will cooperate with the Group Fuels Trading team and other internal stakeholders while learning the fundamentals of international...

• High-performance simulation loops, autonomous behavior, and data-oriented design
• Improve system performance, proactively indetify technical debt
• Understanding and optimize complex dataflows
• Designing, improving, extending existing architecture
• Create technical specification based on business needs

• Cooperates closely with Business side peers, Super Users, Process Architects, Developers, Application Architects and Business Analysts
• Coordinates and owns the business requirement specifications of its own sub-domain, in-line with domain business and IT strategy.

• Design and development of interactive 3D, XR, and digital twin applications
• Creation of immersive visualization experiences for industrial, engineering, facility, and enterprise use cases

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Delivery of complex data engineering projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Project requirements gathering
• Project resource responsibility assignment
• Project charter documentation creation
• Project schedule preparation and resource assignment
• Project risk identification and mitigation planning
• Communication plan crafting and coordination

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Design, delivery and evolution of secure, scalable Ruby on Rails applications and services
• Setting technical direction for major projects and platform initiatives from solution design through implementation and production ownership

• Design, develop, and maintain backend services and RESTful / GraphQL APIs using Node.js
• Build scalable and high-performance applications following best coding practices
• Integrate data storage solutions such as MongoDB, PostgreSQL, MySQL, or similar databases

• Delivery on complex data engineering projects across industries
• Leading small delivery teams
• Managing customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures
• Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers

• Search, collect, consolidate, and validate financial and non-financial data across departments and systems
• Design, build, maintain, and automate dashboards and underlying data pipelines to provide timely, accurate insights to stakeholders

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• End-to-end management of contracts, subcontracts, and related legal agreements
• Initiation, negotiation, execution, acceptance, and ongoing administration of contracts
• Oversight of contract negotiations and approvals
• Maintenance of contract templates and standard agreements