Descrição da empresa

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Descrição do emprego

• Modelling business requirements - data scope (normalised / denormalised / star schema data model or other standard according to objectives);
• Modelling business requirements in a data model other than tabular (columnar, graph, geographic, time series, document);
• Modelling business requirements including data streams, integrations (schema API, CRUD API);
• Design and apply reference data architectures according to the requirements of the data management strategy;
• Design and apply a blueprint for an organizational data framework;
• Define indicators inherent to the observability of DataOps organised into 3 aspects - Data pipeline operational health; Health at dataset level; Data health (profiling within the ‘envelope of expectation’, outlier and anomaly detection, data drift and business rule enforcement);
• Ensuring technical functionalities (scalability, security, performance, data recovery, reliability, etc);
• Preparing business process reports;
• Carrying out corrections and improvements to the Celonis platform;
• Technical and functional analyses for the inclusion of new processes in Celonis.

Qualificações

• Degree in Software Engineering, Computer Engineering or similar;
• Knowledge of Agile methodology, JIRA tool and Confluence (valued);
• Up-to-date knowledge of databases and analytical technologies, including datalake/lakehouse architectures and NoSQL storage;
• Experience of Cloud Platforms (one or more: AWS, Google, Azure);
• Knowledge of Machine Learning, algorithms and statistical models (such as classification, time series analysis, regression, ...);
• Experience in metadata management, data catalogues, data standards and best practices in master data management;
• Experience in BigData databases (one or more of the following: BigQuery, Azure Synapse, AWS RedShift, Cassandra, Couchbase, HDFS);
• Certification and proven experience in technological implementations - Celonis;
• Local resources (Portugal) and ability to produce diverse information on consumption associated with each contract;
• Language knowledge (written and oral): English (required), Portuguese (valued), Spanish (valued).