Data Engineer

We’re Hiring: Data Engineer (Azure and Databricks) We are looking for a Mid-Level to Senior Data Engineer with hands‑on experience in Azure Databricks and modern data engineering practices to join our growing data team and help us build our next‑generation data platform. If you have 5–6 years of relevant experience building ETL/ELT pipelines and working across the Azure data stack, this could be a great fit. Role Overview In this role, you will work on designing and developing scalable data pipelines using Databricks (PySpark/Spark SQL) and Azure cloud services. You will support analytics, BI and product teams by delivering clean, reliable datasets and well‑structured data models. Knowledge of Power BI and Fabric is a big plus. Key Responsibilities Develop and maintain ETL/ELT data pipelines using Azure Databricks (PySpark, Spark SQL). Work with Delta Lake (Bronze/Silver/Gold layers) for scalable data transformations. Integrate and process data from multiple sources (APIs, databases, storage). Collaborate on pipeline orchestration using Azure Data Factory or Synapse. Work with ADLS Gen2, One Lake, Azure SQL, Key Vault, Event Hub, and other Azure resources. Implement data quality checks, documentation, and best practices. Optimize cluster usage, job performance, and pipeline runtimes. Support BI, analytics and product teams by delivering clean datasets that can be used for data reporting and self‑serve analytics purposes, training machine learning models or augmenting AI products such as the chatbot with customer‑specific knowledge. Required Skills 5–6 years of hands‑on experience as a Data Engineer. Proven experience with Azure Databricks (PySpark/Spark SQL). Strong understanding of Delta Lake and data lakehouse concepts. Experience with Azure Data Factory, ADLS Gen2, Azure SQL, and related Azure services. Solid SQL skills and knowledge of ETL/ELT processes. Experience using Git, Terraform and best DevOps practices. Nice to have Knowledge of Power BI (Data Modelling, DAX, Power Query). Exposure to MLflow and Microsoft Fabric – One Lake. Familiarity with Agile ways of working. Experience with preparing data that can be connected to LLM systems in a RAG‑like setting. Location Norway (Oslo), Spain (Malaga or Madrid) About the Recruitment Process We will recruit on a rolling basis, so please do not hesitate to apply with a CV in English. A criminal record check will be requested for the successful candidate. Ready to make an impact? See what our employees in Tech say about the culture at Sector Alarm: #J-18808-Ljbffr