
Artificial Intelligence • Cloud Managed Services • Cybersecurity
Devoteam is a multinational technology consulting company that specializes in delivering innovative solutions in areas such as Artificial Intelligence, Cloud Managed Services, and Cybersecurity. With a focus on business transformation, Devoteam helps organizations optimize their IT infrastructure and migrate to cloud-native architectures. They partner with leading technology providers like AWS, Google Cloud, and Microsoft to drive digital transformation and sustainable IT practices across various industries.
November 25
🗣️🇧🇷🇵🇹 Portuguese Required

Artificial Intelligence • Cloud Managed Services • Cybersecurity
Devoteam is a multinational technology consulting company that specializes in delivering innovative solutions in areas such as Artificial Intelligence, Cloud Managed Services, and Cybersecurity. With a focus on business transformation, Devoteam helps organizations optimize their IT infrastructure and migrate to cloud-native architectures. They partner with leading technology providers like AWS, Google Cloud, and Microsoft to drive digital transformation and sustainable IT practices across various industries.
• Model business requirements (data perspective) into appropriate data models (normalized, denormalized, star schema, etc.) • Model business requirements using advanced data structures: columnar, graph, geographic, time-series, and document models. • Model business requirements, including data streams and integrations (schema API, CRUD API). • Design the data model and architecture to meet qualitative requirements: cost, performance (writes/gets, indexed queries, scans, feature retrieval), and utilization elasticity (scale up, scale-out, pause). • Design and apply reference data architectures aligned with the data management strategy. • Design and apply blueprints for the organizational data framework (how data is acquired, stored, consumed, integrated, and managed) to enrich DataLakes, MDU, and Datamarts. • Operational Health: Pipeline duration, delay, retries, and execution frequency. • Dataset Health: Availability, freshness, volume, and schema change. • Data Health: Profiling against expectations, outlier/anomaly detection, data drift, and business rule enforcement. • Ensure technical functionalities, including scalability, security, performance, data recovery, and reliability. • Apply best practices for data governance and data security: data catalog, data lineage, data quality, master data management, metadata management, and data standards. • Prepare business process reports. • Execute corrections and improvements to the Celonis platform. • Perform technical and functional analyses for the inclusion of new processes in Celonis. • Participate in the design of the Data & AI Big Bets program of EDP. • Study business requirements, perform solutions design, and conduct technical analysis of implementation proposals. • Collaborate closely with the development team to ensure best practices are followed and bottlenecks are resolved quickly. • Sole Deliverable: The Solution Design document in Confluence.
• Up to 15 years of experience in the role • Bachelor's degree in Software Engineering or Computer Engineering or similar • Excellent written and verbal communication skills • Knowledge of the Energy & Utilities market and GDPR • Ability to work in a collaborative environment and with global teams • Critical analysis and problem-solving focused capacity • Knowledge of the Agile methodology, JIRA and Confluence tools (valued) • Commitment to quality of deliverables • Experience in strategic projects (valued) • English (mandatory), Portuguese (mandatory), Spanish (valued) • Up-to-date knowledge of databases and analytical technologies, including datalake/lakehouse architectures and NoSQL storage • Experience with Cloud Platforms (one or more: AWS, Google, Azure) • Knowledge of data governance and data security practices • Knowledge of Machine Learning, algorithms, and statistical models (such as classification, time series analysis, regression, ...) • Experience in metadata management, data catalogs, data standards, and master data management best practices • Experience in BigData Databases (one or more: BigQuery, Azure Synapse, AWS RedShift, Cassandra, Couchbase, HDFS) • Proven experience in technological implementations – CELONIS.
• Health insurance • Professional development opportunities
Apply NowNovember 6
501 - 1000
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