Senior Data Engineer - Cloud-Native Platform Architect

TMC; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

TMC is seeking a Senior Data Engineer to design and implement cloud-native data pipelines in a Microsoft-centric environment. You will shape data architecture, modeling, and scalable analytics across the organization.

The role emphasizes hands-on work with data warehousing and data lake solutions while leveraging Python, SQL, Spark, and modern cloud services. Strong English skills are required, and collaboration across teams is essential.

Qualificações

• Minimum 5 years of experience in data engineering with cloud-native solutions and data architecture.
• English proficiency at least B2 level.

Responsabilidades

• End-to-end data architecture and design: ingestion, modeling, storage, and orchestration.
• Cloud-native engineering focused on Microsoft technologies (Fabric, ADF, Synapse) with open to AWS/GCP equivalents.
• Hands-on data warehousing and data lake experience (BigQuery, Azure Data Lake, Delta Lake, Redshift).
• Proficiency in Python (Pandas, Boto3), SQL, or Spark.
• Experience with RDBMS (Oracle, MS SQL Server) or NoSQL (MongoDB, ElasticSearch, GBQ).
• DevOps/DataOps practices including CI/CD pipelines.
• Implement data validation, lineage, documentation, and monitoring at scale.
• Optimize pipelines and storage for performance, cost, and reliability.

Conhecimentos

Data architecture

Cloud-native engineering

Microsoft technologies

Python

SQL

Spark

RDBMS

NoSQL databases

CI/CD

Data lineage

Monitoring

Ferramentas

BigQuery

Azure Data Lake

Delta Lake

Azure Synapse

Redshift

Descrição da oferta de emprego

TMC is seeking a Senior Data Engineer to design and implement cloud-native data pipelines in a Microsoft-centric environment. You will shape data architecture, modeling, and scalable analytics across the organization.

The role emphasizes hands-on work with data warehousing and data lake solutions while leveraging Python, SQL, Spark, and modern cloud services. Strong English skills are required, and collaboration across teams is essential.