... danych. Rola zakłada ścisłą współpracę z biznesem, IT, zespołami danych oraz właścicielami danych w celu zapewnienia spójnego i skutecznego podejścia do Data Governance i Data Quality w całej organizacji. Twój zakres obowiązków - operacjonalizacja strategii i modelu działania Data Governance oraz Data Quality, ...
... and build a more sustainable, more inclusive world. Your Team Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms ...
... modern data architectures such as Data Mesh. You will work closely with international, cross-functional teams to deliver scalable, secure, and cost-efficient data products that support global business objectives. Key Responsibilities Design and implement automation strategies for onboarding new customers into the data platform, ...
... Microsoft SQL Server, PostgreSQL Optional, Microsoft Azure, Google Cloud Platform, AWS, Databricks, Apache Spark, PySpark, Apache Airflow, GitHub Actions, Terraform, Bicep About the project, At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and ...
... reading. Your responsibilities, Design & Build, •Build and improve GCP data solutions using BigQuery, Cloud Composer, and Cloud Storage, •Build and maintain data pipelines and transformations with Python, dbt, and Airflow, •Model data across Data Warehouses, Lakehouses and Data Lakes within an established architecture, ...
... across teams Nice to have: Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery Basic understanding of Business Intelligence Tools such as PowerBI, Tableau Experience with Agile DevOps, Github, Jira, Confluence - advantageous What we offer Work in an international Data Science team with global responsibilities ...
Data Engineer (K/M) Miejsce pracy: Warszawa Technologie, których używamy Wymagane - SQL - GCP - Big Data - Data Warehouse - Data Lake - ETL/ELT - Feature Store - Customer 360 - Golden Record - CRM O projekcie Cześć! Z tej strony Neontri - jesteśmy firmą liczącą ponad 120 osób. Specjalizujemy się w dwóch obszarach: ...
... strong analytical thinking and a critical approach to problem-solving. Proactive, self-motivated, and results-oriented. Strong problem-solving skills, with the ability to analyze and interpret large datasets to generate actionable insights. Degree in a quantitative field such as Data Science, Mathematics, Computer Science, ...
... z biura Wymiar pracy: Współpraca w niepełnym wymiarze - około 20 godzin tygodniowo Dołącz do zespołu i projektuj architektury nowej generacji w obszarze Data & AI! Twój zakres obowiązków - Projektowanie kompleksowych rozwiązań end-to-end z obszaru Data & AI w ramach portfela projektów realizowanych przez ...
130 - 160 zł / stawka godzinowa
Forma współpracy: Kontrakt B2B z IT LeasingTeam. Długofalowy kontrakt z gwarancją rozwoju w zespole wybitnych ekspertów technicznych, Tryb pracy: W pełni zdalny
Zasugerowane
Stawka godzinowa
Praca zdalna
... international team responsible for developing and maintaining Arla’s Data Foundation Platform. You will contribute to the continuous evolution of our cloud-based data platform, ensuring scalability, reliability and performance across our data ecosystem. Your key responsibilities include Lead the technical implementation of ...
... complex digital products. A strong track record of operating successfully in dynamic 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, ...
... culture. ,[Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability., Design and implement data pipelines that process large volumes of data in both streaming and batch modes., Optimize data workflows to ensure efficient data ingestion, processing, and storage ...
... over a period of time. - Data Integration (Sourcing, Storage and Migration) - Capability to design and implement models, capabilities and solutions to manage data within the enterprise (structured and unstructured, data archiving principles, data warehousing, data sourcing, etc.). This includes the data models, storage ...
... digital products., A strong track record of operating successfully in dynamic 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, ...
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 ...
... the platform evolves effectively. Main Responsibilities Core responsibilities will include: Designing and developing data pipelines for reliable and efficient data flows. Ensuring data availability and security in the central storage layer. Collaborating with data stakeholders to support data-driven initiatives. Implementing ...
... reporting, operational, and Generative AI use cases. This role requires strategic thinking, deep technical expertise, and the ability to guide engineers, shape data governance, and ensure system scalability and performance. A great opportunity for an experienced architect to set the direction for modern data platforms. Join ...
... etc.), nice to have: AzureML & Snowflake. Programming languages like SQL, Python, R and BI/reporting solutions like PowerBi/Tableau. - Profound business and data content knowledge of respective business domain: consumer - & commercial (consumer activation, ecommerce, sell-out and pos data, sell-in data) and M&S process ...
... 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 ...