{"id":3396045,"url":"https://alion.io/job/edp-operational-data-office-senior-specialist","title":"Operational Data Office Senior Specialist","company":{"id":1802466,"name":"EDP","domain":"edp.com","url":"https://alion.io/company/edp-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":13,"ghost_share":0,"stale_share":0,"repost_share":0.154,"time_to_fill_p50_days":15,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":71000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CAPA","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-30T07:22:24Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"We are EDP, a global energy company present in around 29 markets with a particular emphasis on renewable energies. With more than 45 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow.\nThe mission of Operational Data Office and Reporting area is to ensure the EDPR Corporate Operational Reporting and KPI generation and the management of the Operational Data and Reporting solutions to grant the standardization, governance, quality and optimization of the data and reporting processes to add value to the business.\nOperational Data Office main accountabilities:\nManagement of the Interstellar Datahub Solution, ensuring the internalization of the functional maintenance and evolution activities of EDPR’s operational data solutions.\nEnsure the design, development, engineering, evolution and technical ownership of the Operational Interstellar datahub and cloud-based operational data platform.\nCoordination with Operational Reporting Solution, ensuring the alignment with the data model and available information in Interstellar Datahub Solution.\nGrant an efficient interface and interaction with the rest of Dispatch Center areas, as well as with other EDPR areas and stakeholders which are relevant for the Operational Data Office and Reporting area activities and responsibilities.\nThis role provides the leadership required for the development, engineering, and evolution of EDPR's Operational Data Platform, combining expertise in Data Engineering, cloud technologies, data architecture, automation, and software development to support critical business capabilities.\nMain responsibilities:\nOperational Datahub Management\nOwn the end-to-end management, governance, and continuous evolution of the Operational Interstellar Datahub, ensuring its availability, reliability, scalability, and alignment with business objectives.\nDesign, implement, maintain, and optimize data models, tables, views, and data structures within the Databricks environment to support operational and analytical use cases.\nDevelop, maintain, and enhance ETL/ELT pipelines and data integration processes for incorporating new operational systems, business assets, and external data sources.\nDevelop and maintain technical mechanisms supporting data quality monitoring and validation.\nDevelop, maintain, and optimize code, scripts, stored procedures, notebooks, and automated routines supporting data processing, reporting, and operational workflows.\nDesign and implement reusable data services, business logic, and automated processes that enable efficient generation of reports, operational views, KPIs, and business insights.\nCreate, maintain, and continuously improve dashboards, reports, and visualization solutions to support internal operations, customer reporting, and management decision-making.\nCollaborate closely with business stakeholders to understand operational requirements, identify opportunities for automation, and translate business needs into scalable and sustainable data solutions.\nWork alongside technical teams to ensure seamless integration between operational systems, cloud platforms, and Interstellar DataHub architecture.\nMonitor platform performance and proactively identify opportunities to optimize data models, queries, pipelines, workflows, and system resources.\nManage the lifecycle of data assets, ensuring version control, traceability, consistency, security, and compliance with internal data governance standards.\nDefine and maintain technical documentation, data dictionaries, architecture diagrams, operational procedures, and development standards to ensure maintainability and knowledge sharing.\nSupport incident analysis, troubleshooting, root cause investigation, and implementation of corrective and preventive actions related to data processes and platform operations.\nEvaluate and implement new technologies, methodologies, and best practices to continuously improve the Operational Interstellar DataHub architecture, capabilities, and efficiency.\nDrive automation initiatives that reduce manual effort, improve operational efficiency, and increase the reliability of recurring business processes.\nAct as the primary technical owner of the Operational Interstellar DataHub, ensuring its long-term sustainability, continuous enhancement, and alignment with evolving business and operational requirements.\nPlatform Engineering & Architecture\nDefine and maintain the technical roadmap of the Operational Interstellar DataHub. \nDesign scalable cloud-native architectures. \nMaintain CI/CD processes and deployment pipelines. \nEnsure platform performance, resiliency and security. \nOptimize cloud infrastructure utilization and operating costs. \nDefine development standards and coding guidelines. \nEvaluate emerging technologies applicable to the platform. \nEnsure interoperability with enterprise systems and APIs.\nSystems and Stakeholders Knowledge\nDevelop and maintain a comprehensive understanding of the renewable energy operational landscape, market solutions, and emerging technologies relevant to operational data management and reporting.\nContinuously evaluate industry trends, commercial platforms, and innovative technologies that could enhance the capabilities, efficiency, and scalability of the Interstellar DataHub Solution.\nEngage with internal and external stakeholders, technology providers, and subject matter experts to assess new functionalities, architectures, and best practices that support the evolution of the Interstellar DataHub.\nAnalyze business opportunities and propose enhancements that improve operational monitoring, reporting capabilities, data accessibility, and overall business value.\nAct as a technical reference for data management and reporting solutions, ensuring alignment between business needs, technological capabilities, and corporate data strategy.\nIdentify and coordinate the definition of new operational business needs.\nCross-functional Collaboration\nEstablish strong collaboration with Operational and Tenchical departments, DGU, and other business departments to ensure the Operational Interstellar DataHub effectively supports operational processes and strategic objectives.\nGather, analyze, prioritize, and translate business requirements into scalable data solutions, ensuring continuous alignment between operational needs and platform capabilities.\nDesign and develop technical solutions supporting the definition, planning, and implementation of new operational data requirements, reports, dashboards, KPIs, and analytical functionalities. \nPromote the adoption of standardized data models, reporting practices, and governance principles across business units.\nFacilitate communication between technical and business stakeholders, ensuring clear understanding of priorities, requirements, risks, and delivery expectations.\nOperational Reporting Organizational Milestones\nSupport the continuous adoption and effective utilization of the Interstellar DataHub Solution across the organization by providing technical guidance, user support, and knowledge sharing.\nDevelop and maintain training materials, technical documentation, user guides, and best practice recommendations for end users and key stakeholders.\nParticipate in communication, training, and change management initiatives related to new functionalities, reporting capabilities, and platform improvements.\nContribute to cross-functional projects and organizational initiatives where operational data, reporting, and analytics play a strategic role.\nFoster a culture of continuous improvement by identifying opportunities to simplify processes, automate repetitive activities, and improve user experience.\nEDPR Institutional Representation\nContribute to the promotion and visibility of the Interstellar DataHub Solution as a strategic operational data platform within EDPR.\nSupport the preparation of presentations, demonstrations, and technical materials showcasing the platform's capabilities, achievements, and business value.\nCollaborate in interactions with external stakeholders, including technology partners, investors, regulatory authorities, industry associations, and technical working groups, when required.\nRepresent the Operational Interstellar DataHub initiatives in internal and external forums, promoting best practices in operational reporting, data management, and digital transformation.\nContribute to positioning EDPR as a reference in the use of operational data, analytics, and digital solutions within the renewable energy sector.\nEmployment type: Full-Time\nWork site: Hybrid Model\nWhat are we looking for:\nGraduation in Computer Science, Data Engineering, Information Systems or a related field, or another that fits the desired profile.\nAbility to read, write and speak English, and Portuguese or Spanish\nExperience working with Databricks in data engineering, analytics, or business intelligence environments with proficiency in SQL for data extraction, transformation, optimization and analysis and programming experience in Python and/or advanced SQL development.Understanding of data warehousing concepts and cloud-based data architectures.\nMandatory experience in Databricks, Python, SQL, data pipelines, automation scripts, notebooks, and data transformation processes and cloud-native data engineering. \nFamiliarity with Delta Lake and Spark technologies.\nProficiency in distributed data processing architectures.\nKnowledge of metadata management, and master data management principles.\nExperience designing, developing, and maintaining ETL/ELT workflows, data integration processes, and orchestration frameworks.\nStrong understanding of relational and dimensional data modelling, data warehousing concepts, and data lifecycle management.\nExperience implementing data quality controls, validation frameworks, monitoring mechanisms, and data governance best practices.\nExperience working with source code repositories, version control systems (e.g., Git), collaborative development practices, and CI/CD methodologies is considered an advantage.\nExperience working directly with clients and translating business requirements into analytical solutions.\nStrong knowledge in reporting tools, namely PowerBI or other related data analysis and visualization tools.\nProficiency in MS Office tools (Word, advanced Excel, Project, PowerPoint).\nStrong analytical and problem-solving skills.\nSolid communication skills; capability to establish technical discussions in different cultural environments.\nStrong organizational skills with the ability to manage multiple priorities, coordinate concurrent initiatives, and meet deadlines in dynamic environments.\nHigh degree of ownership, accountability, and commitment to delivering reliable, high-quality data products and services.\nExcellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.\nCapability to gather, challenge, and formalize business requirements, ensuring alignment between operational needs and technical implementation.\nStrong capacity to embrace new challenges.\nAbility to work with transversal teams in OT/IT projects. \nExcellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.\nAdaptability, learning agility, and willingness to embrace new technologies, methodologies, and business challenges.\nGood experience in support and maintenance; sense of commitment.\nMore than academic knowledge and technical skills, we are looking for ambitious people who are enthusiastic about the future and who bring human skills aligned with our purpose.\nEqual opportunities for all\nOur vision is that each person combines their unique characteristics and 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