4,261 data quality jobs in Polska.

... 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, Data Quality, Internal Controls, Management Reporting, Policy, Procedure, and Regulation, Program Management, Risk Controls and Monitors. ...

... Governance, Data Management, Business Intelligence, Data Strategy, or related disciplines. Proven track record of designing and implementing enterprise-wide Data Governance frameworks, standards, and operating models. Hands-on experience in Data Quality Management, Metadata Management, Master Data Management, or similar ...

... communications (CAN, LIN, Ethernet), diagnostic logs (UDS), and system failure modes to isolate issues to specific HW, SW, or process roots. - Support Production Quality & Continuous Improvement: Partner with plant quality and process teams to optimize test coverage, lower scrap rates, and maintain strict adherence to functional ...

... Event Hub. Doświadczenie z Apache Airflow, CI/CD (Azure DevOps Repos & Pipelines) oraz architekturą Lakehouse i Medallion Architecture. Znajomość zagadnień: Data Quality, Data Governance, modelowania danych oraz kontroli dostępu w Unity Catalog. Umiejętność przekładania wymagań biznesowych na rozwiązania techniczne. Doświadczenie ...

... Data Services team, fostering a culture of collaboration, quality, and continuous improvement. - Ensure high-quality service delivery in line with global Master Data standards, policies, and governance requirements. - Drive process optimization, operational excellence, and data quality initiatives. - Manage operational risks, ...

... technology base with on-prem and cloud solutions Set up data lake as single data and analytics hub and effectively ingest most important data sources Establish data quality and metadata management Provide Data Marts and sandboxes for segments and functions with the most important combination of data sources Please add the ...

... lifecycle of business-critical applications, ensuring their stability, availability and continuous improvement - Monitor and optimise application performance, data flows and reporting processes - Identify and implement opportunities for automation, process optimisation and improved data quality - Coordinate incidents, problems ...

... 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, ...

... data models supporting credit and financial data processes Analyse business requirements and translate them into scalable technical solutions Define and manage data mappings between multiple systems to ensure accurate data integration and transformation Ensure data quality, consistency, traceability and auditability across ...

... with Liquid Clustering. - Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies. - Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards. - Package and deploy work using Databricks Asset Bundles through Azure DevOps ...

... effective data engineering solutions. Assumes responsibility for complex data projects, manages system integration, and defines strategic guidelines based on data analysis. Support in areas such as Data Governance, data quality, Data Product Operating Models, and the production-ready provision of data for AI use cases. ...

... with Liquid Clustering. - Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies. - Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards. - Package and deploy work using Databricks Asset Bundles through Azure DevOps ...

... understanding of the product and technical analysis — PdM goes under the hood of the system: analyses logs, APIs, architecture, service dependencies, queues and data flows to understand the impact of functional changes on the backend and operating system of the product, Daily technical cooperation with engineering — you are ...

... to real-world impact - be part of a global shift by doing work that matters. Job Description As part of Endava's strategic partnership with WTW, who provide data-driven, insight-led solutions in the areas of people, risk and capital, we're building dedicated software engineering teams to support WTW's Insurance Consulting ...

... Recruitment TeamKey Criteria to monitor performance* Adherence to all Security and Compliance procedures* 100% Attainment of customer SLA agreements* Adherence to quality standards* Team Performance within defined standards and customer contracts* Ability to effectively communicate with all levels within the businessJob Experience* ...

... drop off. Support price accuracy and metasearch performance: analyze patterns, quantify impact, track trends with engineering and platform teams. Own Mixpanel data quality: validate events, maintain dashboards, flag tracking gaps. Design and interpret A/B tests: check sample balance, segment when it changes the decision ...

... 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 ...

... data processing pipelines and analytical solutions with BigQuery, Dataform, SQL, and Python Contributing to the reshaping and modernization of the Analytics Data Platform in Google Cloud Platform Participating in the evaluation and co-creation of work standards and quality assurance best practices within the department ...

... 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. ...

... and maintain scalable and efficient data pipelines in Azure and Databricks Develop and optimize ETL processes using Azure Data Factory and Databricks Build Big Data solutions aligned with business requirements Collaborate with Data Science, BI, and development teams to ensure high-quality data Monitor performance of data ...