Energy & Utilities | AI & Data Architect

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our tech and business leaders on cloud, data and cyber security. Let's fuse creativity with technology together and build innovative solutions that actively change things for the better.

Job Description

• 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.

Qualifications

• 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.