Data engineer állások, munkák adatbázisszakértő kategóriában

• 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.

• Riport- és dashboard fejlesztési igények elemzése
• Megfelelő technológiák kiválasztása a megvalósításhoz
• Riportok és dashboardok fejlesztése Power BI környezetben
• Agilis csapatmunka nemzetközi környezetben
• Új eszközök és módszerek folyamatos kipróbálása
• Tudásmegosztás a csapaton belül

• 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.

• Customizing in SAP logistic modules like SAP MM / PP alone
• Provide solution for SAP processes in cooperation with business and logistical systems
• Interaction with process experts to find the best industry practice to implement

• 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

• Teljesítménymenedzsment rendszer kidolgozásának és működtetésének támogatása
• Projektekben való részvétel, elemzések és kalkulációk készítése döntés-előkészítéshez
• Folyamatok felmérése és optimalizálása, adatelemzéssel támogatva az operációt
• Adatok gyűjtése, tisztítása, rendszerezése és mélyebb elemzése

• IT-adatelemzés
• Data scientist feladatok
• Csapatmunka, projektfeladatok
• Alkalmazásfejlesztés
• Feladatok automatizálása
• Gépi tanulási modellek elkészítése

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...

Design and architect end-to-end Microsoft Fabric solutions (data lakes, warehouses, real-time analytics) Build and optimize pipelines integrating diverse data sources (SQL, APIs, Salesforce, Oracle, Dynamics) Implement Direct Lake connectivity and optimize semantic models for analytics Lead...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

Architect and implement end-to-end cloud data solutions, including data lakes, data warehouses, and real-time analytics platforms. Design, build, and troubleshoot data acquisition pipelines from databases, flat-files, and REST APIs. Apply medallion architecture (bronze/silver/gold) for scalable,...

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

• Design and implement scalable ETL/ELT pipelines in a lakehouse architecture using Databricks, Azure Data Factory, Azure Data Lake, and other modern tools.
• Create analytical data models and structures optimized for performance and usability.

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,...

Who we are? As the top Swiss e-commerce platform, with a crew of over 3'200 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That’s why we’re on the lookout for characters who’re...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

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...

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...

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...