Data science állások V. kerületben (adatbázisszakértő)

• 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

Defining requirements for reporting and analytical (incl. data science) products Identifying and mapping source systems Preparing detailed functional and data-level specifications for the Data Engineering team (incl. supporting data ingestion, transformation logic, and semantic model needs)...

Design, implement and enhance data solutions for customer organizations Implementation of data integrations (e.g. load data from operative systems like ERP or CRM) Development of data platform / data warehouse in cloud platforms (e.g. data transformation and aggregation) Implementing...

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...

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,...

Designing and developing platform to fulfil business needs Design new data pipelines Maintain platforms hosted on data streams for batch-loading and real-time visualisations Maintaining and evolving existing data platform Follow and mentor engineers on data modelling following standards e.g. Inmon,...

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 Data Structures Build new ETL flows and maintain/improve existing ones Design new data structures and data modelling concepts Ensure data quality by verifying data consistency and accuracy Create data validation methods Write, optimize, and maintain stored procedures...

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,...