Senior Data Engineer - Snowflake, dbt & ELT Platform

Parking Network BV; Porto; Híbrido; EUR 70 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Reasonable accommodations

Resumo da oferta

Planet is seeking a Senior Data Engineer to design and evolve its modern data platform, focusing on Snowflake, Fivetran, and dbt. You will architect scalable data pipelines, data models, and trusted data products powering analytics and operational use cases across the organisation.

You will work with Data Engineers, Data Analysts, AI Engineers, and business stakeholders to ensure data quality, security, and availability, while driving standards, governance, and cost optimization.

Qualificações

• Strong experience with modern data platforms such as Snowflake, Databricks, Redshift, BigQuery, or similar technologies.
• Extensive experience building and operating ELT/ETL pipelines in production environments.
• Advanced SQL skills for querying, transforming, optimising, and analysing large datasets.
• Strong hands-on experience with data ingestion tools such as Fivetran and API-based integration patterns.
• Strong experience with dbt for data transformation, testing, documentation, and dimensional modelling.

Responsabilidades

• Design, develop, and optimise scalable data pipelines using ELT tools, APIs, databases, and event-based architectures.
• Lead the integration of new data sources into Snowflake, defining reusable ingestion patterns and engineering standards.
• Design and implement ETL/ELT processes that support large-scale analytics, AI, and operational workloads.
• Define and implement ingestion patterns for incremental, CDC, full refresh, and near real-time data processing scenarios.
• Design and operate reverse ETL pipelines that deliver trusted data products to operational systems, applications, and APIs.
• Drive continuous improvement of platform reliability, performance, observability, and cost optimisation.
• Design and maintain scalable data transformation frameworks using dbt.
• Develop and maintain complex dimensional models, including fact, dimension, snapshot, and semantic data structures.
• Define modelling standards, naming conventions, and best practices to ensure consistency across the data platform.
• Implement automated testing, data quality frameworks, lineage tracking, and monitoring solutions.
• Design and maintain trusted datasets and data products for analytics, AI, self-service, and operational use cases.
• Collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions.
• Lead troubleshooting and resolution of complex data platform, pipeline, and performance issues.
• Drive data governance initiatives, including data ownership, metadata management, lineage, schema evolution, and data contracts.
• Maintain and promote engineering documentation, technical standards, architectural patterns, and operational runbooks.
• Mentor Associate and Mid-Level Data Engineers through code reviews, technical coaching, and knowledge sharing.
• Evaluate emerging technologies and recommend improvements to enhance platform capabilities and support future growth.
• Ensure all data solutions comply with security, privacy, governance, and regulatory requirements.

Conhecimentos

Snowflake

Fivetran

dbt

SQL

ELT pipelines

Data modeling

CI/CD

Cloud platforms

Data governance

Communication

Ferramentas

Git

dbt Cloud

Snowflake

Descrição da oferta de emprego

Planet is seeking a Senior Data Engineer to design and evolve its modern data platform, focusing on Snowflake, Fivetran, and dbt. You will architect scalable data pipelines, data models, and trusted data products powering analytics and operational use cases across the organisation.

You will work with Data Engineers, Data Analysts, AI Engineers, and business stakeholders to ensure data quality, security, and availability, while driving standards, governance, and cost optimization.