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Head of Marketing
About Electrified Thermal Solutions Boilers, furnaces, and kilns are the engines of our industrial economy, providing heat to melt steel, form cement, and transform chemicals. But historically reaching this…
Data Manager
(SQL Server / Oracle / DB2 / Netezza) – at-least good working knowledge in 2 of these DB Apache Spark Streaming or Apache Flink Kafka NOSQL databases - Cosmos DB, Document DB Spark, Dataframe API Hive (HQL) Scripting…
Data Analyst
(SQL Server / Oracle / DB2 / Netezza) – at-least good working knowledge in 2 of these DB Apache Spark Streaming or Apache Flink Kafka NOSQL databases - Cosmos DB, Document DB Spark, Dataframe API Hive (HQL) Scripting…
DevOps Platform Оperations Engineer (f/m/d) @ A1 Competence Delivery Center
Strength. Care. Growth A1 Competence Delivery Center is a vital component of A1’s telecommunications business. Acting as an expertise hub, CDC is dedicated to delivering a full range of high-quality IT, network,…
Staff - Data Engineer
Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary The Staff Data Engineer works…
Vice President, Data Engineering
WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From…
Data Scientist ( Analytics ) _ D297
Mandatory: 4+ years of experience in the field of Data Science and Analytics preferably in CPG or Manufacturing Domain Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related…
Data Scientist ( Analytics ) _ D298
Mandatory: 4+ years of experience in the field of Data Science and Analytics preferably in CPG or Manufacturing Domain Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related…
Data Engineer
Data Engineer at IT consultancy team.it in Lisbon (hybrid, on-site project). Day to day involves building and maintaining big-data pipelines on on-premise infrastructure using Spark, Python, and Hive; requires 4+ years of experience and B2+ English.
