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Data Engineer (Portugal)

Data Engineer (Portugal)

IntermediaPortugal
Há 20 dias
Descrição da vaga

About the role

We’re looking for a skilled Data Engineer with deep Snowflake expertise to help modernize and scale our data platform. If you thrive in a fast-moving environment, can wrangle messy pipelines, and want to build the backbone of a cloud-first data strategy, this role is for you. You’ll work across legacy and modern systems to deliver reliable, high-quality data to customers and colleagues who depend on it every day.

Responsibilities

  • Design, build, and maintain scalable and efficient data pipelines to support analytics, reporting, and operational use cases
  • Collaborate closely with product owners, analysts, and data consumers to translate business requirements into reliable data solutions
  • Develop and maintain data integration workflows across both cloud-native and on-premise systems
  • Champion best practices in data architecture, modeling, and quality assurance to ensure accuracy and performance
  • Participate in sprint planning, daily stand-ups, and retrospectives as an active member of a cross-functional agile team
  • Identify and remediate technical debt across legacy pipelines and contribute to the modernization of the data platform
  • Implement robust monitoring and alerting for pipeline health, data quality, and SLA adherence
  • Write and maintain documentation for data flows, transformations, and system dependencies
  • Contribute to code reviews and peer development to foster a collaborative and high-quality engineering culture
  • Ensure adherence to security, privacy, and compliance standards in all data engineering practices

Skills & Qualifications

  • 5+ years of professional experience in data engineering, analytics engineering, or related fields
  • Bachelor’s Degree in Computer Science, or equivalent field and 2+ years of experience
  • Advanced SQL skills, including performance tuning and query optimization
  • Expertise in Snowflake , including data warehousing concepts, architecture, and best practices
  • Experience with modern data transformation tools (e.g., dbt )
  • Experience building and maintaining automated ETL / ELT pipelines , with a focus on performance, scalability, and reliability
  • Proficiency with version control systems (e.g., Git), working within CI / CD pipelines and experience with environments that depend on infrastructure-as-code
  • Experience writing unit and integration tests for data pipelines
  • Familiarity with data modeling techniques (e.g., dimensional modeling, star / snowflake schemas)
  • Experience with legacy, on-premise databases such as Microsoft SQL Server is preferred
  • Exposure to cloud platforms (e.g., AWS, Azure, GCP), cloud-native data tools , and data federation tools is a plus
  • Experience with Sql Server Reporting Services (SSRS) is beneficial
  • Soft Skills & Collaboration

  • Ability to work effectively in a hybrid technology environment (legacy and modern tools)
  • Able to collaborate and communicate with both technical and non-technical stakeholders
  • Problem-solving mindset , especially when working with incomplete documentation or legacy systems
  • A pragmatic, iterative approach to balancing short-term delivery with long-term platform improvement
  • Tenacity and drive to reduce technical debt and lead modernization efforts
  • Passion for continuous improvement and advocating for best practices in data engineering
  • Criar um alerta de emprego para esta pesquisa

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