Data Engineer (GCP) designing and maintaining scalable data platforms at LUZA Group in Portugal. Collaborating and ensuring data integrity across multiple complex datasets.
About the role
- Data Architect at Integrant responsible for designing and building data solutions for analytical purposes. Involves eliciting requirements, data pipelines, and coaching teams on methodologies.
Responsibilities
- Designing solutions for data ingestion, storage, processing, transformation, enrichment, and presentation for analytical purposes.
- Eliciting requirements and customizing analytical architectures to meet customer needs.
- Designing and building data pipelines and strategies.
- Coaching clients and internal teams on the latest architectures and methodologies (DataOps, MLOps, etc.).
Requirements
- 15+ years of experience in data engineering.
- Bachelor’s degree in Computer Science, Computer Engineering or other quantitative field. Post Graduate degrees preferable.
- The ability to interact with stakeholders at multiple levels within a given organization, understand current analytical challenges and gathering requirements.
- A deep understanding of the evolution of analytical architectures from reporting databases to data warehouses, data lakes, data lakehouses, data fabrics, data meshes and beyond. A data architect should also be able to technically justify how a proposed architecture would suffice a potential client’s analytical needs.
- Extensive experience with Microsoft on-prem Data Platform or equivalent (SSIS, SSAS & SSRS).
- Experience with optimizing query performance and setting up high availability configurations.
- Experience with multiple data cloud vendor such as Microsoft Azure data services (e.g. MS Fabric, ADF, …) or AWS (S3, Lake Formation, Glue, Redshift, Kinesis,..)
- Experience with Large Processing store (Databricks or Snowflake) or equivalent
- Strong Data warehouse Architecture and Dimensional modeling knowledge
- Experience with Vibe Coding (e.g. Cursor/Codex/Claude Code)
- Experience with building Agentic Frameworks and LLM orchestration (e.g. LangGraph/AutoGen/CrewAI/Llamaindex/n8n)
- Experience with Agent Protocol (e.g. MCP)
- Familiarity with DataOps.
Benefits
- Salary paid in USD
- Six-month career advancing opportunities
- Supportive and friendly work environment
- Premium medical insurance [employee +family]
- English language development courses
- Interest-free loans paid over 2.5 years
- Technical development courses
- Planned overtime program (POP)
- Employment referral program
- Premium location in Maadi
- Social insurance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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