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Sector Alarm

Data Engineer - Product & Data

Posted 10 Days Ago
Be an Early Applicant
In-Office
Fuengirola, Málaga, Andalucía
Mid level
In-Office
Fuengirola, Málaga, Andalucía
Mid level
The Data Engineer will develop ETL/ELT pipelines, maintain Azure Databricks, integrate data sources, and support analytics by delivering reliable datasets.
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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.
  • Proved 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.

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Top Skills

Adls Gen2
Azure
Azure Data Factory
Azure Sql
Databricks
Delta Lake
Git
Microsoft Fabric
Mlflow
Power BI
Pyspark
Spark Sql
Terraform

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