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Data Engineer (GCP) at WIZELINE
Barcelona, Catalonia, Spain -
Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Scala, Apache Beam, Python, FastAPI, Google Cloud Platform, BigQuery, Dataflow, Pub/Sub, Cloud SQL, Docker, CI/CD, Git, ETL Pipelines, REST Microservices, Schema Design, Data Lakes

Industry

IT Services and IT Consulting

Description
We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: Technical Requirements Languages & Frameworks Scala /Apache Beam Python /FastAPI, pytest Data & Cloud Google Cloud Platform: App Engine, Cloud Functions v2, Cloud Build, Dataflow, Pub/Sub, GCS, Cloud SQL (MySQL) BigQuery — schema design, analytical queries, dataset management Apache Beam / Google Dataflow — distributed ETL at scale Data lakes DevOps & Tooling CI/CD Docker, minikube Git submodules, gcloud SDK Responsibilities Maintain and extend ETL pipelines Build and operate REST microservices (Akka HTTP / Python) Design BigQuery schemas and optimize analytical queries Operate and extend AI-powered tooling (PR reviewer, infrastructure monitoring bot) Maintain backward compatibility across legacy and modern authentication flows Nice-to-have: ApacheBeans Kafka Dataflow What we offer: A High-Impact Environment Commitment to Professional Development Flexible and Collaborative Culture Global Opportunities Vibrant Community Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here.
Responsibilities
Maintain and extend ETL pipelines while building and operating REST microservices. Design BigQuery schemas and optimize analytical queries to support AI-powered tooling.