Data Engineer
Role details
Job location
Tech stack
Job description
Guesty, located in Cataluña, Spain, is seeking a Data Engineer to develop and maintain cloud-based infrastructure. This role involves implementing CI/CD workflows for data and ensuring reliable data flows for decision-making., * Design, build, and maintain scalable data systems.
- Consolidate diverse data sources into a unified source of truth.
- Implement and manage CI/CD practices in a cloud environment.
- Optimize data infrastructure performance and cost.
Conocimientos
Python SQL Data pipelines with Airflow BigQuery Cloud environment Data modeling CI/CD practices Problem-solving
Herramientas
Kubernetes Docker Terraform AWS Glue Descripción del empleo, Joining our dynamic team as a Data Engineer means you'll develop and maintain cloud-based infrastructure, implement CI/CD workflows for data, and ensure clean, reliable data flows into our data warehouse. You'll collaborate across teams, embed business logic into pipelines, and enable the company to make data-driven decisions with confidence. Responsibilities
- Own the data development process end-to-end, including business understanding, methodology, QA, and maintenance.
- Design, build, and maintain scalable data systems including data lakes, warehouses, and pipelines.
- Consolidate diverse data sources (CRMs, APIs, databases, SaaS platforms) into a unified source of truth.
- Implement and manage CI/CD, observability, and infrastructure-as-code practices in a cloud environment.
- Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment.
- Collaborate with product and engineering teams to identify opportunities for GenAI across Unit's platform and processes, understand team-specific domains, and embed agents directly into existing business workflows.
- Build frameworks and internal tooling that empower other teams to adopt GenAI safely and efficiently.
- Optimize data infrastructure performance and cost, with emphasis on BigQuery optimization.
- Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
- Ensure data quality and integrity across large-scale ETL processes.
- Collaborate with analysts, data scientists, and product managers to support analytics, data modeling, and governance.
Requirements
The ideal candidate has over 2 years of experience in data engineering, strong Python and SQL skills, and familiarity with data pipelines using Airflow. Guesty empowers its engineers to innovate and streamline operations while working in a collaborative environment., * 2+ years of experience working as a Data Engineer.
- Strong coding skills in Python and SQL, focusing on clean, production-grade code.
- Proven experience building data pipelines with Airflow.
- Experience with analytics databases like BigQuery and Snowflake.
- Experience working in a cloud environment (GCP, AWS, Azure).
- Solid understanding of data modeling, database design, and performance optimization., * 2+ years of experience working as a Data Engineer.
- Strong coding skills in Python and SQL, with a focus on clean, testable, production-grade code.
- Proven experience building data pipelines with Airflow.
- Experience with analytics Databases such as BigQuery and Snowflake.
- Experience working in a cloud environment (GCP, AWS, Azure).
- Solid understanding of data modeling, database design, and performance optimization.
- Experience working in production-grade environments.
- Strong problem-solving and analytical abilities.
- Excellent communication and collaboration skills.
- Experience with modern CI/CD, observability, and infrastructure-as-code practices in the cloud.
Advantage
- Familiarity with Kubernetes, Docker, and Terraform.
- Experience with AWS Glue.
- Exposure to implementing AI/ML capabilities in data workflows.
- Familiarity with AI coding assistants/IDEs (e.g., Cursor, Claude Code, Copilot) to accelerate development and improve efficiency.