Data Engineer

Guesty
Argençola, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
€ 60K

Job location

Argençola, Spain

Tech stack

API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Data analysis
Business Logic
Azure
Big Data
Google BigQuery
Software as a Service
Cloud Computing
Databases
Continuous Delivery
Continuous Integration
Information Engineering
Data Infrastructure
ETL
Data Systems
Data Warehousing
Cursor (Graphical User Interface Elements)
Database Design
Python
Machine Learning
Performance Tuning
Standard Sql
Software Deployment
SQL Databases
Data Streaming
Google Cloud Platform
Cloud Platform System
Snowflake
Data Lake
Kubernetes
Infrastructure Automation Frameworks
Production Code
Software Coding
Terraform
Data Pipelines
Docker

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.

About the company

Guesty is the all-in-one platform helping hospitality businesses around the world automate, optimize, and scale their operations. We're a fast-growing global startup that's transforming how the industry works - from guest experience to business growth. With a powerful suite of features and integrations with 150+ industry partners - including Airbnb, Vrbo, Booking.com, Expedia, Google Travel, and many more - Guesty empowers property managers to deliver top-tier guest experiences while running more efficient, data-driven operations. We're proud to have over 900+ team members across 16 countries worldwide, all working together to build the future of hospitality technology.

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