Data engineer (hybrid)
Summary
Senior Data Engineer for a Portuguese automotive-tech company, building scalable data pipelines and bronze/silver/gold data products on Azure Databricks, Synapse, ADLS, and Data Factory. Hybrid role in Vila Nova de Gaia (Porto) with 1 onsite day per week; core stack is Python, PySpark, SQL, CI/CD, and Terraform.
DATA ENGINEER (HYBRID PORTO)
Portuguese company hires for hybrid position
Location: Vila Nova de Gaia, Porto, Portugal
⚠️ Only candidates already based in Portugal will be considered
Work Model: Hybrid — 1 day onsite per week
️ Language Requirements: Fluent English required
Seniority: Senior (5+ years)
Sector: Automotive Tech
Rate Between €2700 - 3000 RV or unipessoal (gross value)
⚠️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.
About the Opportunity
We are looking for a Senior Data Engineer to build and maintain scalable data solutions in the Automotive Tech sector. You will develop reliable data pipelines and reusable data products, ensuring quality, governance, and efficient processing across Azure platforms.
Responsibilities
- Design, implement, and maintain data pipelines and transformations using Databricks and Azure Synapse.
- Develop reusable, high-performance data products across bronze, silver, and gold layers.
- Integrate structured and unstructured data from SAP, Salesforce, and other internal or external systems.
- Ensure data quality, lineage, governance, and security compliance.
- Optimize processing for scalability, performance, and cost efficiency.
- Collaborate with the Data Architect, Business Analysts, and business stakeholders, automating workflows, testing, and deployment through CI/CD.
Requirements
- At least 5 years of proven experience as a Data Engineer.
- Strong Python, PySpark, and SQL skills.
- Azure Databricks experience is mandatory, alongside knowledge of Azure Synapse, Azure Data Lake Storage, and Azure Data Factory.
- Understanding of modern data architectures, data lifecycle management, and Data Vault, Dimensional, and Entity-Relationship modeling.
- Experience with CI/CD tools such as Azure DevOps and Git, and Infrastructure-as-Code tools such as Terraform.
- Familiarity with Microsoft Purview, Databricks Unity Catalog, or comparable metadata and lineage tools.
- Experience with Agile and DevOps delivery, emphasizing standardization, documentation, and reusable components.
- Preferred: Databricks-related certifications.
Ideal Candidate Profile
An analytical and autonomous professional who takes ownership of data quality and delivery. Comfortable collaborating across technical and business teams, with a structured approach to problem-solving and a proactive interest in learning new technologies.
5 Questions for Candidates
- How many years of Data Engineering experience do you have, particularly with Azure Databricks?
- How have you used Python, PySpark, and SQL to build bronze, silver, and gold data layers?
- Can you describe a project where you improved pipeline performance or data quality?
- What experience do you have with data modeling, governance tools, CI/CD, and Terraform?
- Are you fluent in English and comfortable with the stated rate and one onsite day per week, subject to location confirmation?
Keywords
Data Engineering, Azure Databricks, PySpark, Python, SQL, Azure Synapse, ADLS, Azure Data Factory, Data Vault, CI/CD, Terraform, Microsoft Purview, Unity Catalog.
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