About the Role
At AdvanceWorks, we learn together, grow together, and have fun together. And we do all this while creating great software solutions for clients across many industries and geographies. We are constantly challenging ourselves and each other to use the latest technologies and the best methodologies and make sure we walk the talk. We are looking for a Senior Data & AI Platform Engineer to monitor, optimise, manage and evolve the platform that the client's data and AI teams rely on every day.
Responsibilities
•Assessing the readiness of environments, workspaces, catalogues, access and integrations across the Data & AI platform.
•Defining and maintaining checklists and gates for onboarding, release and operational transition.
•Developing and maintaining platform-specific CI/CD templates and automation using Azure DevOps.
•Supporting versioning, code review, testing, deployment and promotion between environments.
•Defining runbooks for deployment, rollback, hypercare and continuity.
•Implementing and evolving technical and functional monitoring of the platform with Azure Monitor and Dynatrace.
•Developing dashboards, alerts and reliability metrics for the platform.
•Following up on incidents, identifying root causes and driving preventive actions.
•Defining standards for tagging, naming and cost allocation.
•Building and maintaining dashboards for cost monitoring and anomaly detection.
•Maintaining and prioritising a backlog of cost optimisation opportunities.
•Providing technical support, troubleshooting and enablement across the Data & AI ecosystem, including Azure Databricks, dbt, Apache Airflow / Astronomer, Microsoft Fabric and Power BI.
•Supporting platform governance in coordination with Microsoft Purview and Unity Catalog.
•Supporting the platform components behind AI and MLOps workloads on Azure Machine Learning, Microsoft Foundry and Databricks ML.
•Producing technical documentation, runbooks and guides for platform users.
•Running knowledge transfer sessions for technical teams.
•Managing and prioritising a continuous improvement backlog, with regular reporting on activities and KPIs.
•Working closely with Architecture, Data & AI Governance, Analytics, Applied Intelligence, IT and Security teams.
Requirements
•Proven senior experience as a Data & AI Platform Engineer in complex enterprise environments.
•Background as a Platform Engineer or Site Reliability Engineer working with data stacks, or as a DevOps Engineer who has moved into data platforms.
•Hands-on experience with Microsoft Azure, including ADLS Gen2 and Delta Lake.
•Practical experience with Azure Databricks and medallion architectures from a platform perspective.
•Familiarity with dbt and Apache Airflow / Astronomer as platform components.
•Experience building CI/CD pipelines and automation with Azure DevOps.
•Experience with Microsoft Fabric and Power BI.
•Knowledge of data governance tools such as Microsoft Purview and Unity Catalog.
•Experience with observability tools such as Azure Monitor and Dynatrace.
•Experience with AI and MLOps platforms such as Azure Machine Learning, Microsoft Foundry and Databricks ML.
•Good knowledge of cloud, DevOps, DataOps, observability, security and operations.
•Real hands-on responsibility for cost management and FinOps practices.
•Ability to create standards, automation and technical documentation.
•Structured troubleshooting and root cause analysis skills.
•Ability to communicate clearly with technical teams and stakeholders.
•Autonomy, accountability and a service-oriented mindset.
•A pragmatic, results-driven approach.
•Fluency in Portuguese and English, including for technical documentation.
•Availability to work in a flexible hybrid model at the client's headquarters in São Domingos de Rana, Lisbon.
Nice to have: Relevant certifications in Microsoft Azure, Databricks, Fabric/Power BI, DevOps, FinOps, ITIL/ITSM or security are a plus, as a complement to hands-on experience.
Conditions
•The engagement starts with an initial six-month contract, which can be renewed.
•An amazing informal culture of smart, hardworking, and friendly people who support and care about each other.
•A mentorship program from day one.
•The opportunity to work with real-world operational data from tolling and Intelligent Transportation Systems.
•The opportunity to work on large-scale data and cloud projects using modern technologies.
•Formal training and certifications in data, cloud, and engineering excellence.
•Access to cutting-edge tools and technologies.
•A dynamic company where your ideas matter more than job titles.
•Flexibility with responsibility.
•A Rubber Duck to help you debug those tricky data pipelines.
