Data science állások IV. kerületben (adatbázisszakértő)

• Nehezen elérhető adatok manuális kigyűjtése SAP ARIBA rendszerből
• Adatok tisztítása, strukturálása és validálása reporting célokra
• Adatkészletek előkészítése EPM data platform feltöltéshez
• Manuális folyamatok megértése és automatizációs lehetőségek keresése

• Design, development, and continuous improvement of the Data Warehouse environment 
• Development and optimization of ETL processes
• Administration and operation of complex SQL cluster environments 
• Re-engineering and modernization of existing SQL cluster architectures

• A pozíció a Kontrolling osztályvezetőnek jelent, szorosan együttműködve az IT-n dolgozó adatmérnökökkel
• Meglévő és új Power BI riportok, dashboardok, fejlesztése és optimalizálása
• Részvétel üzleti folyamatok optimalizálásában, ezek támogatása adatokkal, adhoc és automata riportokkal

• Collaborate with internal and external stakeholders to identify digital solutions by analyzing processes and evaluating the feasibility of automation or reporting.
• Extract, summarize, and clean raw data to create valuable reports.

• Manage and maintain dataflow processes within the local YouGov Shopper Operation.
• Maintain and update the YouGov Shopper master databases to ensure data accuracy and consistency.
• Monitor and troubleshoot dataflow processes to ensure smooth and timely data delivery.

• Own and oversee Global Data Platforms (Power BI, AWS, Snowflake), ensuring secure, reliable, and high-performing services
• Monitor, analyse, and report cloud usage and costs, driving transparency and cost optimisation

• Komplex Excel megoldások kialakítása és optimalizálása
• Power Query alapú adatfeldolgozás
• Makrók és script megoldások készítése
• Feladatautomatizálást segítő VB scriptek fejlesztése és módosítása
• Adatkezelési és adminisztratív folyamatok támogatása

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, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS consultancy to...

Work with C-suite executives to problem-solve key issues and provide actionable recommendations leveraging technology know-how and business sense Play an active role in all aspects of client projects including gathering and analyzing information, formulating and testing hypotheses, developing and...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable,...

Maintaining and evolving our existing data platform Follow and mentor engineers on data modelling following standards e.g. Inmon, Kimball, Data Vault Ensuring data quality by verifying data consistency and accuracy Keeping up to date on research and development of new technologies and techniques Be...

Deliver complex data engineering projects individually or by leading small delivery teams Work with EMEA and US customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage...

Maintaining and evolving our Data Structures Build new ETL flows and maintain/improve existing ones Be part of designing new data structures and data modelling concepts Ensure data quality by verifying data consistency and accuracy – being able to create data validation methods Write, optimize, and...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models). Implement various machine learning solutions addressing computer vision and NLP use cases. Work with Large Language Models (LLMs), perform prompt engineering tasks. Design and implement data...

Design, prototype, and refine LLM-based features over large document sets Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text Define evaluation frameworks, experiments, and metrics to...

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,...

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,...

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,...