La Lorraine Bakery Group NV is seeking a Full-Stack Data Scientist Production to drive data-driven innovations across our Factory of the Future program. You will work end-to-end from raw process data to deployed solutions, collaborating with IT, OT and plant operations to bring Industry 4.0 to life on production lines. ...
... resilient and sustainable data center campuses underpins our customers’ digital growth in Europe. DATA4 Group finances, designs, constructs and operates its own data centers. Delivered through our data center campus model, we provide our customers with secure, scalable and high-performance data hosting solutions. DATA4 VALUES ...
... fagekspert for datainfrastruktur: designe og etablere rammeverk, arkitektur og teknologivalg for dataløsningene. Oppdraget innebærer å bygge og videreutvikle dataløsninger som sikrer datakvalitet og leverer høykvalitets datasett, samt å implementere løsninger for risikostyring og informasjonssikkerhet gjennom hele datalivssyklusen. ...
Wir, die emagine GmbH, suchen einen Experten (m/w/d), der Erfahrungen im KVG-/Asset-Management-Umfeld und mit Kundenplattformen bzw. Data Warehouse hat. Projektstart: ab Oktober Auslastung: Vollzeit Dauer: ca. 6–9 Monate Projektstandort: remote mit Absprache in Frankfurt am Main Ihre Aufgaben: Bestehende Kundenplattform ...
... definiowaniu, implementacji i monitorowaniu rozwiązań analitycznych. - Proaktywne rekomendowanie usprawnień procesów z wykorzystaniem dostępnych narzędzi AI i data science. - Tworzenie i rozwój feature store oraz data martów analitycznych we współpracy z zespołami IT. Nasze wymagania - Minimum 3 lata doświadczenia ...
Ekspert / Ekspertka ds. Platform Analitycznych (Obszar Data Science i Sztucznej Inteligencji) Nazwa Firmy: BANK MILLENNIUM SPÓŁKA AKCYJNA Departament: ZESPÓŁ PLATFORM ANALITYCZNYCH I MLOPS / DEPARTAMENT ANALITYKI DANYCH I ZINTEGROWANEGO RAPORTOWANIA Rodzaj zatrudnienia: UMOWA O PRACĘ Jakie będą Twoje zadania: Rozwój platform ...
... business case through to delivery and adoption into a recurring planning or commercial process, with a clear view of what worked and what didn'tFluent in CPG data landscape: transaction/order data, product data, customer data (from CRM systems and loyalty programs), syndicated and panel data (NIQ/Nielsen, Circana, Kantar), ...
... Rearchitecture of Spark applications to Cloud Dataproc or BigQuery SQL. Automation with Cloud Composer. Data analytics platform for an investing company Azure-based data platform with Databricks as the central component. Complex ETL processes enriching investment data with Spark jobs in Scala. External data integrations, data ...
... these data. Experience of the standard data sources for subsurface data, Petrel & Studio, DISKOS etc. is an advantage. Key Responsibilities - Specify, develop data pipelines for subsurface and drilling data flows. - Build and maintain data products (for seismic, well data) on the data platform. - Align with teams supporting ...
Specjalista/ka ds. Bezpieczeństwa IT (Data Loss Prevention) - projektowanie, wdrażanie, rozwój i utrzymanie procesu przeciwdziałania wyciekom informacji (Data Loss Prevention), - monitorowanie, analiza oraz obsługa incydentów związanych z nieuprawnionym przepływem danych, - definiowanie, wdrażanie i optymalizacja polityk ...
Financial intelligence for 100M+ users across the world's leading banks. Meniga builds financial intelligence for the world's leading banks - 100M+ users, 30+ countries. We're not the brand on the app. We're the layer underneath it - the one that makes the data meaningful, the experience personal, and the bank worth opening. ...
... particularly for model documentation. Advanced degree in a quantitative field such as Computer Science, Actuarial Science, Statistics, or Mathematics. Experience in Financial Crime/AML, particularly in transaction monitoring and with technology suppliers (preferred). Experience as a model validator or quantitative risk analyst (preferred). ...
... system-related incidents and operational issues. Work with Linux environments and use command-line tools to support day-to-day operations. Analyze and manage data within relational databases, including creating and executing complex SQL queries. Perform data validation, investigation, and updates when required. Develop ...
... consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks ...
... Testing developed software and verifying the correctness of implemented solutions. Supporting the delivery and implementation of solutions based on relational databases. Requirements: Minimum 5 years of experience working with relational databases, with PostgreSQL being the preferred database technology. Minimum 4 years ...
... technical know‑how with a pragmatic approach to process optimization. This makes it an attractive workplace for network engineers, developers, security specialists, analysts and automation experts eager to advance their skills on complex enterprise implementations. Senior Datacenter Engineer (Cisco area) We offer: - Attractive ...
... technical know‑how with a pragmatic approach to process optimization. This makes it an attractive workplace for network engineers, developers, security specialists, analysts and automation experts eager to advance their skills on complex enterprise implementations. Senior Datacenter Engineer (Cisco area) We offer: - Attractive ...
... Existing network within Databricks, AWS, Microsoft, Google Cloud, Anthropic, Snowflake, or related ecosystems. - Experience managing AWS Partner Network (APN), Databricks Partner Program, Microsoft AI Cloud Partner Program, or similar ecosystems. - Understanding of AI/ML, LLMs, GenAI, MLOps, and modern data platforms. - Experience ...
... hands-on experience with modern cloud-based data and analytics technologies, including strong expertise in Databricks and Tableau, Deep understanding of analytical data structures, business metrics frameworks, and information delivery concepts, Track record of optimizing large-scale datasets, analytical workloads, and visualization ...