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Data Engineer (Portugal)

IntermediaPortugal

Há 22 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

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Data Engineer • Portugal