... environments where business ambitions require agile technological integration. Ability to understand complex algorithmic solutions, experience with ML/DS products and big data projects. Outstanding ability to align external partner perspectives, technical requirements, and user needs into a single, cohesive product roadmap. Excellent ...
... opportunity into a customer engagement Primary career focus on some or all areas of Data & Analytics: Cloud Data Platforms, BI, Data Warehousing, Data Lakes, Data Science & Predictive Analytics Experience managing medium to large-scale software/technology initiatives A keen interest in and passion for the Data & Analytics ...
... and maintain scalable data pipelines and data solutions. Work extensively with Snowflake and SQL to transform, integrate and manage data. Develop and optimize data processing workflows to ensure performance, reliability and data quality. Integrate data from multiple sources and support efficient data flows across systems. ...
... systems, data governance and data management processes. - Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design. - Hands-on with Big Data technologies like Spark , Cloudera, Data Platform, Airflow, Iceberg, Kafka, and CI/CD. - Excellent understanding of dimensional data and data modeling techniques. ...
... skills. 3-5 years of experience in analytics/data engineering. Perform code reviews and collaborate with the team to create an optimized ecosystem. Nice to have: BigQuery. Python. ClickHouse. Experience delivering projects in an operational environment. Interest in data science to aid the understanding of customer use cases. ...
... data-driven decision-making by designing, modeling, and visualizing data across multiple platforms. The role involves working with SAP BI tools, integrating data from various sources, and contributing to modern data workflows. Responsibilities Design and develop data models in SAP Datasphere, including both graphical and ...
... data-driven decision-making by designing, modeling, and visualizing data across multiple platforms. The role involves working with SAP BI tools, integrating data from various sources, and contributing to modern data workflows. Responsibilities Design and develop data models in SAP Datasphere, including both graphical and ...
... considerations. - Experience with Databricks, Snowflake, Azure, AWS or other cloud‑based data platforms. - Strong understanding of data architecture, database design, data modeling and data management concepts. - Experience working with large‑scale datasets and complex data transformation. - Experience supporting data modernization, ...
... environments where business ambitions require agile technological integration., Ability to understand complex algorithmic solutions, experience with ML/DS products and big data projects., Outstanding ability to align external partner perspectives, technical requirements, and user needs into a single, cohesive product roadmap., Excellent ...
We are looking for a Data Engineer - Process Mining to join our team. In this position, you will be responsible for ensuring the availability, quality, and reliability of data required for Process Mining by designing, integrating, and maintaining scalable data pipelines, datasets, and data models. The primary focus is on ...
... collaborative environment. Proven ability to lead architectural design and initiatives. Experience mentoring engineers in a hands-on manner. Nice to Have Knowledge of data orchestration tools and frameworks. Experience working with Content Management Systems. Understanding of data governance and security best practices. Exposure ...
... relevant key performance indicators (KPIs), standard reports, and ad-hoc analyses based on our Customer Data Platform. You work in close coordination with our Data Engineering team to design the required analysis datasets. Process Automation: You transform manual queries and data preparation tasks into automated pipelines ...
... way we engage with our clients and our role in influencing the companies and the markets we invest in. Data Protection Analyst We are looking for a motivated Data Protection Analyst to join the Data Office department. The objective is to deploy data management framework by providing a support to all data domains (Product, ...
... utrzymywanie Data Martów na platformie danych, - wsparcie użytkowników platformy danych. Nasze wymagania - doświadczenie w pracy z hurtowniami danych, rozwiązaniami Big Data oraz narzędziami BI, - doświadczenie w pracy z chmurowymi platformami danych lub rozwiązaniami Data Lakehouse, mile widziane doświadczenie ze Snowflake, ...
... Martów na platformie danych, wsparciu użytkowników platformy danych. Jeśli jesteś osobą, która: posiada doświadczenie w pracy z hurtowniami danych, rozwiązaniami Big Data oraz narzędziami BI, posiada doświadczenie w pracy z chmurowymi platformami danych lub rozwiązaniami Data Lakehouse, mile widziane doświadczenie ze Snowflake, ...
Obowiązki - prowadzenie regularnych audytów wewnętrznych z zakresu ochrony danych osobowych (w biurach oraz na halach produkcyjnych), - bieżąca aktualizacja i prowadzenie Rejestru Czynności Przetwarzania (RCP) oraz Rejestru Kategorii Czynności Przetwarzania (RKCP), - monitorowanie systemów informatycznych (IT) oraz
... consistency Requirements: - University degree in IT, data analytics, economics, mathematics, or a related field - 2–3 years of experience in data analysis, CRM/CDP, data quality, or data governance - Experience working with consumer data (retail, FMCG, or e-commerce preferred) - Experience with CRM/CDP systems, data integrations, ...
We are looking for a Senior Program Manager to join our CEE_WE Data Practice and play a pivotal role in shaping how we deliver data and AI solutions across the region. You will sit at the intersection of delivery, strategy, and client engagement — driving program governance, ensuring cross-functional alignment, and accelerating ...
... Power BI across multiple data pillars. Migrate master reference tables into a central Master Data Management (MDM) system. Design and implement a comprehensive data quality framework throughout the data pipeline. Automate data delivery processes for manually loaded data sources. Migrate data sources to a full raw data model ...