... highly regulated life sciences environments. You will be responsible for deploying, integrating, validating, and maintaining secure and GxP-compliant MQTT-based data pipelines running on Kubernetes, ensuring seamless data flow from physical plant floor assets to enterprise analytical systems. This role is fully remote, allowing ...
A leading technology solutions provider is looking for an Operations Associate to manage customer data, provide support, and handle administrative tasks remotely. The ideal candidate will have a Bachelor’s degree and at least one year of relevant experience, including proficiency in Microsoft Excel. Strong organizational ...
... (preferred) and R), business intelligence tools and cloud technologies (e.g. Azure, AWS) hands-on experience in statistical modelling, machine learning, AI and data visualization complemented by knowledge in the development and use of GenAI applications and large language models; MLOps experience is desirable strong analytical ...
For Digital Hub Warsaw, we are looking for: Senior Data Scientist Are you excited to turn complex business questions into measurable impact? We are hiring a Senior Data Scientist for the Machine Learning & Artificial Intelligence unit within Bayer’s Enterprise Data & Analytics Platform. You will combine generative AI with ...
... Proven data modelling expertise, especially in the gold layer Hands-on experience with Python (PySpark) for data processing Experience with Data Factory and data pipeline orchestration Experience with ETL / ELT systems. Background in improving and optimising existing data platforms Experience designing scalable data solutions ...
Kingfisher plc poszukuje Senior Quality Engineer (Data) do zespołu Data Engineering. Rola obejmuje zapewnienie jakości, niezawodności i integralności danych, wspierając decyzje biznesowe poprzez wysokiej jakości dane. Doświadczenie z PySpark, Databricks, dbt, Great Expectations i testami w CI/CD jest kluczowe. Praca w modelu ...
... offers a unique opportunity to collaborate with dynamic, cross-location teams and contribute to shaping the product vision. Senior Developer (T SQL / Java / Data Flows) Responsibilities: Perform impact analysis of changes and ensure consistency with the existing architecture Define and specify data flows, including technical ...
... role involves collecting business needs, designing architectures, and ensuring quality deliverables. Key qualifications include technical expertise, fluent English, and knowledge of data integration. The position offers a hybrid working model and various perks including courses, wellbeing programs, and private healthcare.
... squads. Your day-to-day mission: · Coach teams in Agile principles, practices and metrics · Collaborate with the Product Owners to manage backlogs - with good data quality - and realign priorities if needed. · Identify and support in resolving team impediments · Facilitating squad ceremonies to support/develop/improve squad ...
... Minimum 4 lata doświadczenia jako Data Engineer - Bardzo dobra znajomość Python, - Praktyczne doświadczenie z PySpark, - Doświadczenie z Azure, - Znajomość Azure Databricks, - Bardzo dobra znajomość SQL, - Doświadczenie w budowaniu i utrzymywaniu data pipelines, - Doświadczenie w transformacji i przetwarzaniu danych, - Znajomość ...
... stakeholders, and leadership - even when the data isn't strong enough yet to support a decision. REQUIREMENTS 5+ years of experience in product, marketing, or business data analysis. Strong SQL skills for analyst work: querying and aggregating warehouse data (not building ETL pipelines). Hands-on Tableau/Power BI experience as a ...
HeadHR w Warszawie poszukuje specjalisty w obszarze Consulting IT, który zajmie się rozwojem funkcjonalności AI oraz optymalizacją kodu PySpark i Python. Wymagana jest biegła znajomość PySpark, Python, SQL, oraz doświadczenie w Generative AI i pracy z chmurą Azure.
As a Data Annotation Project Manager you will play a vital role in leveraging the potential of AI technology in Allegro by enabling business, technology and research teams to secure and maintain high-quality annotated datasets and eval pipelines. You will own the end-to-end lifecycle of high-quality data acquisition, annotation ...
... 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 ...
... more scalable, reliable, and cost-efficient. - Power AI initiatives: Lay solid data engineering foundations that enable AI data products. - Design and maintain data pipelines: Build robust processes to ingest data from multiple sources and orchestrate them efficiently. - Unlock scalable data modeling: Support Data Analysts ...
... 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 ...
... in data modelling and data visualization, with a strong focus on scalable data management concepts – including experience with standardized ETL processes and data pipelines – as well as practical experience in putting these and MLOps into production sound knowledge of one or more programming, scripting and database languages ...
Bank Millennium poszukuje Eksperta ds. Data Science (Modelowanie Wartości Klienta) w Warszawie. Do obowiązków należy rozwijanie metodologii CLV oraz prowadzenie analiz i eksperymentów ukierunkowanych na wzrost wartości klienta i efektywności działań sprzedażowych, relacyjnych i utrzymaniowych. Wymagane jest 3 lata doświadczenia ...
... 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 ...
... Development & Innovation: Designing, developing, and maintaining core AI/ML systems directly in production environments, as well as researching new AI methodologies., Data Processing & Automation: Employing Python and advanced SQL to process, automate, and analyze large datasets, ensuring high-quality input data., Data Management ...