Data science állások, munkák XX. kerületben

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

• Az ügyfél üzleti működésének mélyreható megismerése és megértése
• Az ügyfél támogatása az üzleti problémák beazonosításában és pontos megfogalmazásában
• Alternatív megoldási irányok és koncepciók kidolgozása, amelyek illeszkednek a bevált szakmai gyakorlatokhoz és a cég portfóliójához

• 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.

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...

• 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.

• Külső és belső, rendszeres és ad-hoc adatszolgáltatások és riportok elkészítése 
• Belső, rendszeres és eseti dokumentumok, adattáblák ellenőrzése 
• Új és meglévő riportok fejlesztése 
• Részvétel a riporting- és modellezési rendszer folyamatos fejlesztésében, automatizálásában

• 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.

• Be the key interface for capturing demand requests related to IT tool development, act as a Business Analyst.
• Be responsible for creating user stories as an input in the Agile delivery process – either as part of a team or as overall owner

• Responsible for making decisions in annual pricing on country level, in year pricing and new launch pricing through looking into all influencing areas,
• achieved through using all the right analytical methods, tools, and guidelines,

• 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)...

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,...

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...

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....

Drive designing and building AWS infrastructure and landing zones Define AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation, and build CI/CD pipelines Lead migrations of customer workloads from on-premises (on-prem), GCP, Azure, or Heroku to AWS Review and...

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 Working collaboratively to provide technical solutions and implement new software features...

Architecting complex AWS infrastructures and zero-day compliant landing zones Understanding customers’ business problems and providing technology consulting to identify the best-fit solution Owning the end-to-end solution as a key decision-maker and driving the delivery team Describing...

Steer and drive the high-level technology direction of Datapao, including how projects are delivered, solutions built, scaled, and technical teams enabled Oversee the technology strategy of Datapao, including key technical areas, projects, capabilities, standards, and roadmaps; align them with...

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...

• Implementing business processes and enhancing existing ones based on business and technical requirements
• Thinking from both the user and business perspectives
• Running and maintaining scripted processes regularly