Data Engineer Databricks (Hybrid)

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profile Job Location:

Porto - Portugal

profile Monthly Salary: Not Disclosed
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Job Summary

DATAENGINEER/DATABRICKS(HYBRIDPORTO)

Portuguese company hires for hybrid position

Location: PortoPortugal

Only candidates already basedin Portugal will be considered

Work Model: Hybrid 2to 3 days per week on-site in Porto

Language Requirements:English Fluent

Seniority: Senior (5years)

Sector: Banking

Instructions: Please send yourCV in English and make sure to include all skills and experience that match therequirements of the opportunity. This will significantly increase your chancesof success

About the Role

We are looking for a skilled Data Engineer withstrong Databricks expertise to design build and scale modern dataplatforms in a high-impact Automotive Tech environment. This role isideal for professionals passionate about data engineering best practicescloud-native architectures and transforming complex data into reliablebusiness-ready products.

You will work closely with Data Architects BusinessAnalysts and stakeholders contributing to end-to-end solutions thatprioritize data quality governance scalability and performance.

Key Responsibilities

  • Design implement and maintain data pipelines on Azure Databricks and Azure Synapse
  • Develop reusable high-performance data products across Bronze Silver and Gold layers
  • Integrate structured and unstructured data from multiple sources (SAP Salesforce external systems)
  • Ensure data quality lineage security and governance compliance
  • Optimize data processing for scalability performance and cost efficiency
  • Translate business requirements into robust technical solutions in collaboration with cross-functional teams
  • Automate workflows testing and deployments using CI/CD pipelines

Functional Skills

  • Strong understanding of modern data architectures
  • Ability to work cross-functionally with data IT and business teams
  • Solid knowledge of data modeling and data lifecycle management
  • Experience with Agile and DevOps delivery models
  • Focus on standardization documentation and reusability of data components

Technical Skills

  • Programming Languages & Frameworks: Python PySpark SQL
  • Platforms:Azure Databricks Azure Synapse Azure Data Lake Storage Azure Data Factory
  • Data Modeling: Data Vault Dimensional Modeling Entity-Relationship (ER)
  • Automation & DevOps: CI/CD Azure DevOps Git Infrastructure as Code (Terraform)
  • Data Governance: Microsoft Purview Databricks Unity Catalog or similar metadata and lineage tools

Soft Skills

  • Strong analytical and problem-solving mindset
  • High sense of ownership and accountability for data quality and delivery
  • Collaborative communicator with both technical and business stakeholders
  • Proactive curious and eager to continuously learn new technologies
  • Structured and autonomous working style in Agile environments

Nice to Have

  • Databricks certifications

Why This Opportunity

  • Work on cutting-edge data platforms in the Automotive Tech sector
  • Strong focus on cloud governance and scalable architectures
  • Collaboration with multidisciplinary and international teams
  • Hybrid work model in Porto
  • Environment that values quality ownership and continuous improvement

Keywords

Data Engineer Databricks Azure Databricks Azure SynapseAzure Data Factory Azure Data Lake Python PySpark SQL Data Pipelines DataModeling Data Vault Dimensional Modeling CI/CD Azure DevOps GitTerraform Data Governance Microsoft Purview Unity Catalog Automotive TechHybrid Work Porto

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Required Experience:

IC

DATAENGINEER/DATABRICKS(HYBRIDPORTO)Portuguese company hires for hybrid position Location: PortoPortugal Only candidates already basedin Portugal will be considered Work Model: Hybrid 2to 3 days per week on-site in Porto Language Requirements:English Fluent Seniority: Senior (5years) Sector: Banki...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala