Senior Data Engineer

Lodgify; Barcelona; Híbrido; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A growing tech company in Barcelona is seeking an experienced Senior Data Engineer to design and manage data pipelines for data-driven decisions. You will work with modern data tools and collaborate with cross-functional teams. Ideal candidates have over 7 years of experience and proficiency in advanced SQL and Python. This position offers flexible work options and a dynamic, multicultural environment.

Servicios

Freedom to work from home

25 working days of paid vacation

Monthly meal allowance of 150€

Home-office setup allowance

Referral program with paid incentives

Daily office breakfast

Monthly events (e.g., football tournaments, wine tastings)

Formación

• 7+ years in data engineering with hands-on experience using modern data stack tools.
• Proven experience with orchestration tools, dbt, and ELT solutions.
• Ability to collaborate with cross-functional teams and communicate technical concepts.

Responsabilidades

• Design, build, and maintain scalable data pipelines and infrastructure.
• Implement data quality checks and contribute to data governance practices.
• Optimize performance and cost-efficiency of the data platform.

Conocimientos

Advanced SQL

Proficient Python for data engineering tasks

Strong data modeling fundamentals

Experience with orchestration tools

Strong analytical and troubleshooting skills

Herramientas

Mage.ai

Airflow

dbt

GCP

AWS

Azure

Descripción del empleo

Overview

Lodgify is seeking an experienced Senior Data Engineer to join our growing team and play a vital role in building and managing our modern data platform. This role involves designing, implementing, and optimizing data pipelines and infrastructure, enabling data-driven decisions across the company. Our platform empowers property owners and managers to efficiently manage and market their rental businesses online. We are an international team of more than 350 people and over 60 nationalities, founded in the heart of sunny Barcelona.

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Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure using our core data stack.
• Implement data quality checks, monitoring, and contribute to data governance practices.
• Develop and optimize data models using dbt for analytics and operational use cases.
• Troubleshoot data issues and assist with tracking implementation problems as needed.
• Ensure data infrastructure supports downstream consumers, including analytics and potential future AI / ML initiatives.
• Collaborate with analysts and stakeholders to ensure data accessibility for visualization and operational syncing (Hightouch).
• Optimize performance and cost-efficiency of the data platform.
• Mentor team members and promote data engineering best practices.

Qualifications

• 7+ years in data engineering, with hands-on experience using modern data stack tools.
• Advanced SQL, proficient Python for data engineering tasks, strong data modeling and warehousing fundamentals.
• Proven experience with orchestration tools (e.g., Mage.ai, Airflow), dbt, ELT solutions (e.g., Fivetran, Airbyte).
• Experience with a cloud platform (GCP, AWS, Azure).
• Track record of building and maintaining reliable, end-to-end data pipelines in production.
• Ability to work effectively with cross-functional teams and clearly communicate technical concepts.
• Strong analytical and troubleshooting skills.

Bonus Points

• Experience with BI / visualization tools.
• Familiarity with machine learning concepts and the data requirements for training and deploying models.
• Familiarity with event-driven architectures or data privacy regulations (GDPR).
• SaaS or Travel / Hospitality industry experience.

Why You’ll Love Us

You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of energy, hard work, and passion for what we do. We celebrate diversity and are committed to creating a workplace where everyone is heard and belongs.

What’s in It for You

• The freedom to work from home.
• 25 working days of paid vacation and a summer break in August.
• Monthly meal allowance of 150€ and a Flexible Remuneration plan with up to 70€.
• Flexible remuneration options for transportation needs.
• Home-office setup allowance to support productive and comfortable work environment.
• Referral program with paid incentives.
• Daily office breakfast and monthly events (e.g., football tournaments, wine tastings, hikes, kayaking).
• Office facilities and an international team with +60 nationalities.

All applications and CVs must be submitted in English.