Cloud Data Engineer: Azure + Fabric, End-to-End Pipelines

Shakers; Lisboa; Híbrido; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

Shakers in Lisbon is seeking a Senior Data Engineer to own end-to-end cloud native data pipelines on a Microsoft stack (Fabric, Azure Data Factory, Synapse). You will design, build, and optimise data platforms, driving DevOps/DataOps and progressively stepping into data product ownership.

Hybrid work from Lisbon with strong collaboration across global stakeholders. The role requires 5+ years in data engineering, hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and data

Qualificações

• Minimum 5 years in data engineering with focus on cloud native solutions and data architecture.
• Hands on experience with Microsoft Fabric, Azure Data Factory, and Synapse (AWS/GCP equivalents acceptable).
• Experience with data warehousing and data lake solutions (Azure Data Lake, Delta Lake, BigQuery, Redshift).
• Python (Pandas, Boto3), SQL, or Spark.

Responsabilidades

• Design and implement end to end cloud native data pipelines, including Medallion style architectures.
• Optimise pipelines and storage for performance, cost, and reliability.
• Implement data validation, lineage, documentation, and monitoring at scale.
• Drive DevOps and DataOps practices, including CI/CD.
• Mentor mid and junior engineers and enforce engineering standards.
• Progressively take on product ownership and stakeholder facing work.

Conhecimentos

Cloud data engineering

Azure Fabric

Azure Data Factory

Azure Synapse

Python

SQL

Spark

RDBMS/NoSQL

CI/CD

Data modelling

Data warehousing

Descrição da oferta de emprego

Shakers in Lisbon is seeking a Senior Data Engineer to own end-to-end cloud native data pipelines on a Microsoft stack (Fabric, Azure Data Factory, Synapse). You will design, build, and optimise data platforms, driving DevOps/DataOps and progressively stepping into data product ownership.

Hybrid work from Lisbon with strong collaboration across global stakeholders. The role requires 5+ years in data engineering, hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse, and data