Data Engineer (Senior and Middle Level)
Expleo Lisbon, Portugal
IT Services and IT Consulting · 10,001+ employees
About the role
The role involves defining and evolving data warehouse architecture, frameworks, and integration standards while implementing ETL/ELT pipelines. You will also be responsible for ensuring data quality, mentoring junior team members, and participating in architectural decision-making with stakeholders.
What they look for
Requirements
Candidates must have 6-8+ years of experience in data engineering with strong proficiency in SQL Server, T-SQL, and SSIS. Experience with Python, data warehousing, and Power BI or Microsoft Fabric is essential for this position.
Full description
Overview
Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.
We are strategically positioned to build value, with global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.
We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.
Responsibilities
- Definir/evoluir a arquitetura do Data Warehouse- Definir camadas e padrões de integração- Definir framework de ETL- Implementar pipelines ETL/ELT- Garantir performance e qualidade dos dados- Definir modelo dimensional- Preparar a solução para futura migração/evolução para Microsoft Fabric- Rever entregáveis técnicos- Orientar elementos mais juniores- Participar em decisões de arquitetura com cliente e stakeholders Essential skills
- 6–8+ anos de experiência em Data Engineering- Forte experiência em SQL Server on-premises- T-SQL avançado- Experiência sólida com SQL Server Integration Services (SSIS)- Python aplicado a Data Engineering- Experiência em Data Warehousing
- Experiência com Power BI e/ou Microsoft Fabric
- ETL/ELT
Desired skills
- Modelação dimensional- Kimball- Star Schema- Fact tables- Conformed dimensions- Integração de múltiplos sistemas fonte- Experiência em desenho de arquiteturas de dados end-to-end- Definição de camadas e padrões de integração- Experiência em projetos de consolidação multi-source / multi-ERP- Experiência em liderança técnica
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