Data Engineer

Akuaro; Logroño; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading company in the hospitality software industry seeks a talented Data Engineer to join their team. The role involves designing scalable data pipelines, managing metrics, and ensuring data quality in a flexible remote environment. Applicants should have strong experience with data engineering, SQL, and NoSQL databases, and possess effective communication skills to work in an international team.

Servicios

Flexible remote-first work culture

Opportunity to work on cutting-edge architecture

Formación

• Experience in data engineering and building pipelines.
• Familiarity with SQL, NoSQL, and column-oriented databases.
• Strong problem-solving skills and effective communication.

Responsabilidades

• Design, build, and maintain scalable data pipelines.
• Manage the single-source-of-truth for key metrics.
• Collaborate with engineering teams to ensure data quality.

Conocimientos

Data Engineering

ETL

SQL

NoSQL

Problem Solving

Communication

Herramientas

ClickHouse

Kafka

MongoDB

DataDog

Kubernetes

AWS

Git

Python

Golang

Descripción del empleo

Our partner is looking for a talented and motivated Data Engineer to join their growing team. The technology company provides innovative software (B2B SaaS) for the hospitality industry.

Stack & Security Context They manage vast amounts of diverse data making use of Kafka, ClickHouse, MongoDB, DataDog, Kubernetes and AWS stack.

The Role What you’ll do : Design, build, and maintain scalable data pipelines, reading events from topics, storing them in different databases and retrieving results via API, all in real-time. Manage the single-source-of-truth for various key metrics, understanding how they are calculated, paying close attention to details and performing corrections or recalculations if needed. Collaborate with engineering teams to embed security and data quality principles throughout the data life cycle. Develop and maintain DataDog alerts to ensure data is continuously flowing. Act as the primary liaison with our Data Science team, who will develop powerful algorithms based on the data you serve. Continuously evaluate and improve our data architecture and monitoring practices. Build and maintain code (Python or Golang) to fully customize our tools (APIs, data scripts, etc.) Collaborate in shared repositories making use of Git.

Requirements : Demonstrated data engineering experience, building pipelines and ETLs. Experience with both SQL and NoSQL databases. Experience with ClickHouse or other column-oriented databases is specially valued. Comfortable working in agile and collaborative environments. Strong problem-solving and communication skills. Ability to communicate effectively with an international team in English, both written and spoken.

What to Expect In your first month : Complete your onboarding and understand our data ecosystem. Get to know the entire team and integrate into our way of working. Participate in several production deployments. Join ongoing database discussions, actively contributing with your insights. Familiarize yourself with your squad’s product areas and internal support processes.

In your first three months : Gain a deep understanding of our processes, tools, and architecture. Identify and lead improvements in our data pipelines. Own and deliver a successful project—whether a feature launch, a technical improvement, or a product enhancement— with technical independence.

In your first six months : Become a key reference point in your team, being able to answer about current data solutions by yourself while suggesting any improvements you may think of.

Nice to Have : Familiarity with compliance frameworks (SOC 2, ISO 27001) and personal data directives (GDPR). Familiarity with Data Governance principles.

Extra info Opportunity to work on cutting-edge architecture and meaningful projects in the hospitality sector. Flexible remote-first work culture. 100% remote in Spain or hybrid if you are in Barcelona.

Apply here!