... (PII concepts), data retention, and access governance. - Experience supporting AI/ML or BI environments where data trust is critical. What Success Looks Like (First 6–12 Months) - Established clear ownership and definitions for priority Service & Operational datasets and critical data elements (e.g., core ITSM practices ...
... individual(s) in the role of Data Modelling will be responsible for modelling data within specific Businesses, Functions and/or Geographies and will work with the Data CIOs and Data Officers and their respective teams as needed. The Role The data modeler designs, implements, and documents data architectures and data models for ...
... maintaining data pipelines using ETL and/or ELT approaches, with the ability to reason about trade-offs rather than defaulting to a single pattern understanding of data pipeline reliability concepts, including idempotency, backfills, and handling late or corrected data ability to structure data systems into clear layers (e.g. ...
... (PII concepts), data retention, and access governance. - Experience supporting AI/ML or BI environments where data trust is critical. What Success Looks Like (First 6–12 Months) - Established clear ownership and definitions for priority Service & Operational datasets and critical data elements (e.g., core ITSM practices ...
... overall platform design, ensuring reliability, low latency, and smooth integration with product features. Requirements Must-haves: 7+ years of experience in Data Science designing robust end-to-end data workflows. At least 4 years of specific experience in forecasting techniques. Expert level in Python, Docker and cloud ...
... (on-prem & cloud), SAP Datasphere, and SAP Analytics Cloud (analytics & planning). - Experience with data integration patterns, ETL/ELT, semantic layers, master data management, and data governance. - Working knowledge of Databricks, Data Lake architectures and modern data stacks is a strong plus. - Experience with SAP Business ...
... Python Data Engineer – Market Microstructure Analytics Location & Work Model: Wrocław-based opportunity with on-site work (full-time) Introduction: As a Python Data Engineer, you will be working at the intersection of trading infrastructure and market microstructure. You will focus on developing robust data pipelines, analytical ...
... and ensuring compliance with internal procedures. Here’s a sample of the type of things you will be responsible for: • Creating and maintaining customer master data in SAP, including regular data analysis and clean-up activities (e.g., outline agreements, info records, etc.); • Maintaining the pricing database in SAP on a ...
... - Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: Job Family Group: Data Governance Job Family: Data Governance Foundation Time Type: Full time Primary Location Full Time Salary Range: 151920,00zł - 258680,00zł Most Relevant Skills Data Governance, Data Management, ...
... meet business objectives and user expectations. - Drive continuous improvement of ERM platforms, identifying opportunities to improve functionality, efficiency, data quality, and user experience. - Coordinate with technology teams, architects, and delivery partners to support successful solution design, development, testing, ...
... transformation processes across Azure Data Lake and related services., Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets., Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate., Apply ...
We are looking for a passionate Data Scientist who is eager to make an impact on their career and take on a new challenge! P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, ...
... segmentations and machine learning solutions - Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation - Experience with data mining processes, data preparation and data scraping - Ability to work with messy, real-world business data and convert it into useful analytical outputs - Experience ...
Global Banking and Markets - Data Engineering -Warsaw-Vice President Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join ...
... transformation processes across Azure Data Lake and related services., Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets., Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate., Apply ...
... Responsibilities: Architect the Metadata Strategy: Define and lead the evolution of our Active Metadata framework within our Data Lakehouse platform. Enhance Data Discoverability: Design and implement patterns that make data easily searchable and understandable across the enterprise, utilizing tools like Databricks Genie ...
... Responsibilities: - Create and maintain data quality rules focused on data completeness and accuracy. - Support the implementation of standard and customized data quality validations for new accounts. - Work with business stakeholders and operational teams to understand data quality requirements and resolve identified issues. ...
... segmentations and machine learning solutions - Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation - Experience with data mining processes, data preparation and data scraping - Ability to work with messy, real-world business data and convert it into useful analytical outputs - Experience ...
... ASAP Project scope: Build and optimize modern data platforms on Azure and Databricks Design, develop, and maintain scalable data pipelines Build and optimize data lakehouse solutions supporting analytics, reporting, and regulatory needs Implement data ingestion from multiple sources (databases, APIs, files, messaging/ event ...
... meet business objectives and user expectations. - Drive continuous improvement of ERM platforms, identifying opportunities to improve functionality, efficiency, data quality, and user experience. - Coordinate with technology teams, architects, and delivery partners to support successful solution design, development, testing, ...