Sql developer állások IV. kerületben (adminisztráció, asszisztens, irodai munka)

• Leading data projects across the EMEA region including initiatives leveraging Artificial Intelligence and automation
• Leading and delivering innovation and transformation projects from scoping through to measurable business impact

• Build and maintain SQL queries and reports that track bookings, pipeline coverage, and conversion
• Monitor CRM data quality to resolve issues at the source
• Analyze pipeline trends and support the weekly forecasting review cadence with clean, accurate data

• Főbb feladatok
• Termékfejlesztési kérdések lefordítása mérhető és elemezhető kutatási kérdésekké.
• A kérdés megválaszolásához szükséges adatok és adatforrások meghatározása.
• Külső, megvásárolt fogyasztói, piaci, retail, termékbevezetési, trend- és egyéb adatbázisok elemzése.

• Dashboard development with Power BI to visualize sustainability data and metrics
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team for customized visual analytics

• Design and implement data fabric architecture across heterogeneous data sources and platforms
• Develop scalable ETL/ELT pipelines for batch and real-time data integration
• Integrate structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

Performing tasks related to the position....

• 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

• Data gathering from various organizational sources
• Design and implementation of data integration processes
• Collaboration with business stakeholders for reporting requirements
• Extraction, transformation, and loading (ETL) of raw data

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

• Experience in different Data Science topics
• Independent delivery of Data Science projects with product-oriented mindset
• Engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain

• Lead client discovery and solutioning
• Own the information design layer
• Design and develop executive and tactical BI solutions
• Elevate client reporting maturity
• Leverage AI tools in daily workflow
• Bridge analysis and communication
• Drive semantic model design and development

• Support KPI governance across core supply chain metrics including Inventory Above/Below Entitlement, Slow-Moving Inventory, End-of-Life Inventory, Delivery, and Quality
• Refresh, validate, and prepare data required for the monthly governance cycle

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Design, develop and implement complex scalable Lakehouse solutions on the Databricks platform across major cloud environments
• Design, build and optimize modular data pipelines using Delta Lake to ensure data efficiency reliability and quality

• Technical ownership of governance infrastructure supporting the GBS Digital Enablement organization
• Maintenance and continuous enhancement of governance infrastructure
• Ensuring reliability, scalability, governance and accuracy of tools, workflows, data structures and reporting solutions