Data Analitics - Industrial Digital Platform

Our Industrial Digital Platform team is looking for a Data Engineer to build and scale the data backbone that powers decision-making across engineering, operations, and leadership.We are developing a modern data platform focused on transforming industrial and operational data into a reliable, high-quality asset.This role sits at the intersection of industrial systems and cloud data technologies, with a strong emphasis on data quality, governance, and scalability.This is a hands?on role for someone who takes ownership, cares deeply about data integrity, and is comfortable working across the full data stack.ConditionsPermanent contractHybrid model: 1 day of remote work per weekWorking hours: 9:30 a.m. to 6:30 p.m. (Fridays until 2:30 p.m.)Mission of the roleDesign, build, and maintain a robust, scalable, and validation?first data infrastructure that ensures high?quality, reliable data across the industrial digital platform.You will act as a key contributor to data architecture and governance, ensuring that data is accurate, accessible, and trusted across all business functions.Key responsibilitiesData Quality & GovernanceDefine and enforce validation standards across all data systemsEnsure data accuracy, consistency, and integrity from ingestion to consumptionDesign and maintain data contracts, lineage tracking, and cataloguing practicesDesign, build, and maintain scalable data pipelines with validation embedded at every stageETL/ELT DevelopmentBuild and evolve ETL/ELT processes with automated quality checksEnsure issues are detected and resolved before reaching downstream usersCross?functional collaborationTranslate complex requirements from engineers, analysts, and scientists into robust solutionsWork closely with multiple teams to deliver production?grade data systemsOptimise database performance and storage architectureEnsure continuous reliability and efficiency of data systemsMonitor pipeline health and proactively detect issuesDiagnose failures quickly and ensure continuous data availabilityStay up to date with data engineering trends and toolsIntroduce improvements that add real value to the platformProfile6+ years of experience in data engineering, ideally in industrial or operational environmentsStrong SQL skills and hands?on ETL/ELT experience with a focus on data qualityProficiency in Python, Java, or ScalaSolid understanding of data modelling, data warehousing, and big data technologies (Spark, Hadoop)Proven experience with Azure and DatabricksExperience in data governance (cataloguing, lineage, metadata, access control)Familiarity with data quality tools (Great Expectations, dbt tests, Soda)Degree in Computer Science, Engineering, or a related fieldStrong problem?solving skills and attention to detailExcellent communication skills across technical and non?technical teamsNice to HaveExperience building and optimising data lakes and warehouses in AzureReal?time and streaming data processing (Event Hubs, Stream Analytics)Experience with data mesh or data fabric architecturesKnowledge of regulatory frameworks (ISO, GDPR)Experience with containerisation and orchestration (Docker, Kubernetes, ADF)LanguagesSpanish - Highly valuedItalian - Highly valuedWhat we offerStrategic role with real impact on data?driven decision makingDynamic and fast?growing environmentOpportunity to build and scale a modern industrial data platform#J-*****-Ljbffr

6+ years of experience in data engineering, ideally in industrial or operational environments Strong SQL skills and hands?on ETL/ELT experience with a focus on data quality Proficiency in Python, Java, or Scala Solid understanding of data modelling, data warehousing, and big data technologies (Spark, Hadoop) Proven experience with Azure and Databricks Experience in data governance (cataloguing, lineage, metadata, access control) Familiarity with data quality tools (Great Expectations, dbt tests, Soda) Degree in Computer Science, Engineering, or a related field Strong problem?solving skills and attention to detail Excellent communication skills across technical and non?technical teams Nice to Have Experience building and optimising data lakes and warehouses in Azure Real?time and streaming data processing (Event Hubs, Stream Analytics) Experience with data mesh or data fabric architectures Knowledge of regulatory frameworks (ISO, GDPR) Experience with containerisation and orchestration (Docker, Kubernetes, ADF) Languages Spanish - Highly valued