Data science állások Budapesten (it programozás, fejlesztés)

Process Design & Optimization: Design and continuously improve end-to-end Requisition-to-Receipt (R2R) processes, implementing best practices, automation opportunities, and intelligent workflows including guided buying, supplier punchouts, and catalog-driven purchasing for Direct and Indirect...

• 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

• 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

• Delivery on complex 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

• Környezet kialakítása és fejlesztése (DEV)
• A data streaming platform (Confluent Platform / Apache Kafka) komponenseinek telepítése, konfigurálása és karbantartása a fejlesztői környezetben.

Process Oversight: Support the planning, implementation, optimization, and measurement of business processes to drive operational excellence....

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• 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
• Providing technical solutions and implementing new software features collaboratively

• 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
• Providing technical solutions and implementing new software features collaboratively

• 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

• 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

• 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

• 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

• Lead the architecture, design, and implementation of enterprise-scale web applications using modern frontend technologies
• Serve as the technical lead for UI development while remaining actively involved in coding, design reviews, and implementation

• Ügyféltalálkozók lebonyolítása személyesen vagy online.
• A folyamat tervezőtől kapott, az ügyfél működéséről, szervezeti felépítéséről és üzleti folyamatairól szóló dokumentáció részletes megismerése.

• Ensure the quality of data across various domains (Security, Portfolio, Counterparty, Ratings, Benchmark, Analytics, Pricing) and within relevant systems.
• Perform assigned daily/monthly processes, escalating issues or determining solutions to remove obstacles for the team.

• Üzleti folyamatok és működési kihívások elemzése automatizációs és alkalmazott MI szempontból
• Automatizációs és MI felhasználási esetek (use case-ek) azonosítása, kidolgozása és priorizálása
• Üzleti igények strukturálása, üzleti és funkcionális követelmények meghatározása

• Development and optimization of large-scale data processing workflows using Apache Spark, PySpark, and SQL
• Building and enhancing multi-stage ETL pipelines with idempotency and failure recovery
• Implementation and configuration of pipeline orchestration using Airflow, Dagster, or Prefect