DATA ENGINEER - MATILLION (HYBRID)

Descrição do trabalho

Portuguese company hires for hybrid work

Working Model: Hybrid / 60% Remote and 40% Presential

Location: Lisbon, Portugal / Candidates for this position must already be located in Portugal

Language Requirements: Fluent Portuguese / English B2

Seniority: more than 5 years

Instructions: Please send your CVs 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.

We are looking for a talented Data Engineer with Matillion skills to join our team!

  • General Expertise
  • Strong critical thinking and analytical skills to work with complex datasets, combining technical tools with an understanding of the business context.
  • In-depth and broad knowledge of data domains, backed by industry experience.
  • Effective communication skills, including documenting design decisions, build and test procedures, and maintenance processes.
  • Confident presentation skills, able to explain technical concepts to non-technical stakeholders.
  • Act as a technical lead: coach and mentor data engineers, promote best practices, remove technical roadblocks during project delivery, and support Run & Support teams with critical issues and root cause analysis (RCA).
  • Communication & Collaboration
  • Clear and proactive communication.
  • Strong documentation skills (SDD/TDD knowledge).
  • Adherence to core standards and tool-specific guidelines.
  • Collaborative mindset and ability to work across teams.
  • Team management experience.
  • Understanding of project finances and budgeting.
  • Ability to estimate, design, build, and implement data pipelines based on business requirements and use cases.

Technical Skills / Must be clearly listed on your CV

  • Databases
  • MS-SQL
  • Data Warehouses
  • Snowflake, Redshift
  • Cloud Technologies
  • Cloud architecture and services
  • Integration & ETL/ELT Tools
  • Matillion, BODS, DBT
  • Security & Compliance
  • Authorization & authentication (Basic, KeyPair, Token, etc.)
  • Secure data transmission (encryption, etc.)
  • SoX controls, audit, and compliance
  • GDPR / SPI / PI data handling
  • Data retention and archiving
  • Advanced Technologies
  • Artificial intelligence & machine learning
  • Automation (RPA)
  • Analytics & business intelligence
  • Development & DevOps
  • Coding languages: Python, NodeJS, etc.
  • User interface technologies: HTML, JavaScript, etc.
  • DevOps practices and tools
  • Documentation
  • SDD (Solution Design Document) / TDD (Technical Design Document) knowledge

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