Data engineer állások, munkák it programozás, fejlesztés területen

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

Grow personally as a key player in the global finance team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions, including global supply chain, sustainability, research...

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities
• Effort estimation
• Proposal creation
• Architecting and planning robust data models
• Architecting and planning modern data platforms

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
• You access diverse data sources efficiently and reproducibly.
• You design, test, and monitor distributed data processing pipelines.

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

Design and develop backend data objects and data models that provide reliable, analytics-ready data for downstream BI dashboards and reporting solutions...

Design end-to-end data science solutions from business problem through data requirements, modelling approach, validation, deployment and business integration....

• Experience in different data science topics including machine learning, LLM, deep learning
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Understanding global business strategy and translating on business department/employee level
• Creating alignment within the organisation for action plan implementation
• Proactive testing of new solutions and proposals to leverage service delivery maturity

• Adatforrások integrálása a vállalat új Data Lakehouse platformján
• Adatbetöltési folyamatok fejlesztése a Data Lakehouse platformon
• Skálázható adatfeldolgozó folyamatok fejlesztése és optimalizálása
• Adattranszformációk fejlesztése és optimalizálása

• Designing, developing, and evaluating machine learning models on complex telecom and retail data
• Transforming high-volume datasets into production-ready solutions such as churn prediction models and point-of-sale fraud models

• Business process analysis and design of Lead-to-Order processes
• Cross-country process harmonisation
• Requirements engineering including user stories and acceptance criteria
• Business workshops and stakeholder alignment
• Fit-gap and impact analysis
• End-to-end solution definition

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása

• Creation and support of business intelligence solutions
• Driving BI requirements with clients
• Capturing accurate reporting documentation
• Communicating at very high level to internal and external stakeholders

• Gather business and IT requirements across telecom data, DWH, and reporting domains
• Create and refine requirements, user stories, acceptance criteria, and functional specifications
• Support prioritization
• Analyze existing DWH, BI, and reporting processes