Data Engineer

Data Engineer Location: Porto (Hybrid) Employement: Full-Time About Loop Future Loop Future combines technology, innovation, and sustainability to create digital solutions that shape the future. By integrating software engineering, cloud solutions, salesforce expertise, and intelligent sourcing, Loop Future connects people, systems, and industries — driving efficiency, growth, and global impact. We are Headquartered in Portugal, but also have international offices in the UK, Switzerland and India. The company brings together a diverse and talented team committed to delivering cutting-edge digital experiences into domains such as TV & Media, Satellite & Space, Consultancy, Retail and many other domains. About Role We are looking for an experienced Data Engineer to join our team in Porto. The role will focus on designing, implementing and maintaining modern data pipelines and reusable data products, working closely with Data Architecture, Business Analysis and business stakeholders to translate requirements into scalable technical solutions. Responsibilities - Design, implement and maintain data pipelines and transformations on Databricks and Synapse. - Develop and manage reusable, high-performance data products across bronze, silver and gold layers. - Integrate structured and unstructured data from diverse sources, including SAP, Salesforce and external systems. - Ensure data quality, lineage and compliance with governance and security standards. - Optimise data processing for scalability, performance and cost efficiency. - Collaborate with the Data Architect, Business Analysts and business stakeholders to translate requirements into technical solutions. - Automate workflows, testing and deployment through CI/CD pipelines. Requirements - 5+ years of proven experience as a Data Engineer. - Strong understanding of modern data architectures. - Strong experience with Python, PySpark and SQL. - Hands-on experience with Azure Databricks (mandatory), Azure Synapse, Azure Data Lake Storage and Azure Data Factory. - Knowledge of Data Vault, Dimensional and Entity-Relationship data modelling techniques. - Experience with CI/CD, Azure DevOps or Git, and Infrastructure-as-Code tools such as Terraform. - Familiarity with Microsoft Purview, Databricks Unity Catalog or comparable metadata and lineage tools. - Knowledge of data lifecycle management and a strong focus on data quality, standardisation, documentation and reusability. - Experience working with Agile and DevOps delivery approaches. - Ability to work cross-functionally with data, IT and business teams. - Fluent English. Nice to Have - Databricks-related certifications. Ready to shape the future? 📩 Apply directly or drop me a message to chat! #DataEngineer #Python #PySpark #SQL #Databricks #DataLakeStorage #DataFactory #PortoJobs #TechHiring