Data science állások XV. kerületben középiskolai végzettséggel

• üzleti koncepció, működési modell(ek), folyamatok
• szervezeten belüli működési modell(ek), új IT szolgáltatások kialakítást célzó, támogató IT projektekben

Crafting innovative solutions through requirements analysis, constructing workflow charts, and drafting precise specifications Transforming business requests into actionable development plans, user stories, and robust acceptance criteria Guiding projects from concept to seamless implementation,...

• Control moving average price (MAV) variation
• Calculate, validate, and populate product costs into SAP
• Update logistics business processes and (Z) conditions in SAP
• Maintain MM condition tables, mark-up rates, and in-plant loss rates

• Collaborate with cross-functional teams to understand and translate business requirements into data solutions.
• Ensure data quality, integrity, and governance by implementing best practices in data management.

• Actively support organizations within the Group in the group-level deep-dive analysis as a consultant with regards to the methods, used tools and desired outcome.
• Conduct systematic reviews and proposals for corrective actions and process improvements to enhance operation.

Készpénzfeltöltés: vendégek készpénzének kártyára történő feltöltése Pénzkezelés: készpénz pontos, szabályos kezelése Adatrögzítés: szükséges adatok ellenőrzése, rögzítése...

Adatrögzítés: termékek, megrendelések és ügyféladatok pontos rögzítése számítógépen Iratkezelés: dokumentumok rendszerezése, archiválása, előkészítése...

Adatrögzítés: adatok, dokumentumok, űrlapok pontos rögzítése számítógépen Iratkezelés: dokumentumok rendszerezése, archiválása, előkészítése Adminisztratív támogatás: egyszerű irodai feladatok, például nyomtatás, másolás, iratrendezés...

• ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Monitor and troubleshoot production data pipelines, ensuring their performance and reliability.

Bridge Between Tech and Stakeholders: Act as intermediaries between engineering teams and stakeholders, ensuring clean, transformed datasets. Understand business requirements and translate them into technical specifications...

• Új B2B ügyfelek felkutatása és szerződéskötés.
• Meglévő ügyfélkapcsolatok ápolása, fejlesztése.
• Ügyféligények felmérése, testreszabott megoldások kidolgozása.
• Értékesítésicélok elérése, sales riportok készítése.
• Szoros együttműködés a bank társterületeivel.

• Define and drive the SEO roadmap across markets, channels, and teams.
• Lead advanced audits and develop long-term SEO strategies aligned with business objectives.
• Utilise AI-powered tools for analysis, reporting, and content optimisation.
• Monitor algorithm updates and lead agile response initiatives.

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Act as the technical expert supporting sales efforts to help customers understand data science and AI solutions. Bridge Sales and Delivery to ensure smooth handover and alignment with customer goals. Drive customer calls and discovery sessions to uncover technical needs and guide solution design....

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Establishing consistent product development frameworks, discovering both customer and business needs across our diverse portfolio, without sacrificing flexibility Leading the product team's evolution to full-stack product thinkers Optimizing team structures and product roadmaps to ensure the right...

Writing reusable, testable, and efficient code, mainly in Python Delivering great user experience by the development of great user interfaces Handling security and data protection professionally and precisely Collaboratively working to provide technical solutions and implement new software features...

Deliver complex data engineering projects individually or by leading small delivery teams Work with Apache Spark/Databricks on AWS/Azure Manage customer relationships alone or with a Project Manager Mentor more junior engineers Evaluate the quality of junior engineers' work Contribute to hiring...

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

Architect, build and maintain backend services and APIs using Python and web frameworks such as Flask or Django (or comparable) Design and implement RESTful APIs / microservices, ensuring clean, maintainable, and efficient code, adhering to best practices (coding standards, documentation, testing)...