Descrição da Vaga
DATA ENGINEER / CLOUD (HYBRID) SD7XSK
DATA ENGINEER / CLOUD (HYBRID LISBON)
Portuguese company hires for hybrid position
📍 Location: Lisbon, Portugal
⚠️ Only candidates already based in Portugal will be considered
💼 Work Model: Hybrid
🗣️ Language Requirements: Fluent English
🕓 Seniority: Senior (5+ years)
💲Rate Between €2800 - 3100 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 Data Engineer / Cloud professional with strong architecture expertise to design enterprise data platforms. You will translate business requirements into scalable, secure, and resilient solutions, providing technical leadership across architecture and data engineering teams.
Responsibilities
- Analyze business requirements and design end-to-end architectures for data ingestion, integration, storage, and consumption.
- Define data models and integration solutions using ETL/ELT, APIs, streaming, and Change Data Capture (CDC).
- Design cloud platforms, Data Lakes, Lakehouses, and Data Warehouses.
- Ensure data governance, security, data quality, and GDPR compliance.
- Evaluate technologies, document architectural decisions, and establish reference standards while ensuring scalability, performance, resilience, and cost efficiency.
- Provide technical leadership, produce documentation, and present recommendations to technical and business stakeholders.
Requirements
- Degree in Computer Engineering, Computer Science, or a related field.
- Minimum 5 years of experience in a similar role, with solid expertise in Data Architecture, Solution Architecture, and enterprise data platform design.
- Advanced knowledge of Data Warehouses, Data Lakes, Lakehouses, Big Data, relational databases, and NoSQL.
- Experience with Azure, AWS, or GCP and the design of scalable, resilient, secure, and cost-efficient architectures.
- Strong expertise in ETL/ELT, APIs, CDC, streaming, and event-driven architectures.
- Knowledge of Data Governance, Data Quality, Security, Data Lineage, Metadata Management, Master Data Management (MDM), and GDPR.
- Experience defining standards and reference architectures within Enterprise Architecture.
- Fluent English, strong technical leadership, and effective communication with multidisciplinary teams.
Nice to Have
- Knowledge of Microsoft Fabric, Azure Databricks, Azure Synapse, BigQuery, and Redshift.
- Experience in the Energy & Utilities sector.
- Knowledge of Analytics, Machine Learning, and AI.
- Experience with Agile methodologies, Jira, and Confluence.
Ideal Candidate Profile
A technically strong professional who combines data engineering knowledge with an enterprise architecture perspective. Able to balance business needs, governance, performance, and costs while guiding teams and explaining architectural decisions clearly.
5 Questions for Candidates
- How many years of experience do you have in data engineering and enterprise data architecture?
- Which cloud platforms and Data Warehouse, Data Lake, or Lakehouse solutions have you designed?
- Can you describe an architecture involving ETL/ELT, streaming, or CDC and the main design decisions?
- How have you addressed data governance, security, GDPR compliance, and cost optimization?
- What is your English proficiency, availability for hybrid work in Lisbon, and alignment with the €2800–3100 range?
Keywords
Data Engineering, Cloud, Data Architecture, Solution Architecture, Azure, AWS, GCP, Data Warehouse, Data Lake, Lakehouse, ETL/ELT, CDC, Streaming, Data Governance, MDM, GDPR, Enterprise Architecture
#CP
