At Smart Consulting, we're looking for a Data Platform Engineer to join our data organization and ensure the reliability, scalability, and excellence of our cloud-based data platform.We believe data empowers better decisions — and we want you to be part of that journey. What it takes to be a Data Platform Engineer:Experience working with data pipelines in a production environmentStrong hands-on knowledge of SQL and experience with distributed processing tools (e.G., Apache Spark)Proficiency troubleshooting dbt, Apache Kafka, Apache Ignite, Apache NiFi, and Apache AirflowSolid programming skills in Python or Scala for data engineering tasksExperience with AWS cloud data servicesFamiliarity with Grafana or similar observability toolsUnderstanding of data governance, compliance, and security best practices in cloud environmentsExperience implementing CI/CD and testing frameworks for data pipelines and data productsStrong problem-solving abilities and excellent communication skillsExperience providing platform support or help desk troubleshooting in technical environmentsAvailability to start within 30 daysFluency in Portuguese and English Nice to Have:Familiarity with Dremio and modern data lakehouse architecturesExperience provisioning data services using TerraformKnowledge of Power BI on-premises gatewayHands-on experience with data catalog and governance tools (Collibra, Alation, etc.)Experience with machine learning pipelines and feature engineering What you'll do as a Data Platform Engineer:Provide support to users of the data platform, troubleshooting issues and ensuring platform reliabilityMaintain and support ETL/ELT pipelines to guarantee scalable and dependable data flowsCollaborate with data platform architects to optimise security, performance, and availabilityImprove monitoring, performance, automation, and operational efficiencyContribute to data quality frameworks ensuring consistent and accurate data pipelinesSupport the operation of data lakes, data warehouses, and data streaming systemsWork closely with data scientists, analysts, and business users to resolve data platform issuesAutomate repetitive tasks and improve ingestion, transformation, and delivery processesTroubleshoot and optimise SQL queries and workflows for performance and cost efficiencyDocument platform changes, processes, and best practicesReview and approve data product releases into production Why join us?Work with modern data platforms and high-impact cloud environmentsCulture of collaboration, ownership, and continuous improvementOpportunity to influence platform architecture and operational excellenceStrong focus on learning, innovation, and best engineering practices Where you'll work: Remote — Candidates MUST be based in Portugal