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Data Engineer

Akuaro

Badajoz

A distancia

EUR 35.000 - 55.000

Jornada completa

Ayer
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Descripción de la vacante

A leading technology company is seeking a motivated Data Engineer to enhance their innovative software for the hospitality industry. The role involves designing and maintaining data pipelines, ensuring data integrity, and collaborating with the Data Science team to leverage insights. Ideal candidates will have solid experience in data engineering, particularly with SQL and NoSQL databases, and be comfortable in agile team environments. Flexible remote-first culture offered, with opportunities to work on cutting-edge projects.

Formación

  • Proven data engineering experience, especially in building pipelines and ETLs.
  • Experience with both SQL and NoSQL databases required.
  • Strong problem-solving and communication skills essential.

Responsabilidades

  • Design, build, and maintain scalable data pipelines in real-time.
  • Collaborate with teams to ensure data quality and security throughout lifecycle.
  • Lead improvements in data pipelines and own successful projects.

Conocimientos

Data engineering
SQL
NoSQL
Problem-solving
Communication

Herramientas

ClickHouse
MongoDB
AWS
Git
DataDog

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!

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