Data Engineer

Tipo De
Barcelona, Spain
8 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
€ 55K

Job location

Barcelona, Spain

Tech stack

Artificial Intelligence
Information Engineering
ETL
Data Systems
Hadoop
Cloud Platform System
Spark
Kafka
Data Pipelines

Job description

Ready to design and scale data systems that power AI-driven marketing? As aData Engineer, you'll build and maintain end-to-end data pipelines supporting over1 million weekly predictions. You'll own architecture, integration, and data quality, working closely with marketing, operations, and production teams to transform data into actionable insights and boost our AI strategy. Location:Sant Cugat | Hybrid (2 days on-site) Salary:Up to 55k+ performance bonus Key Responsibilities Design, build, and maintainETL and reverse ETL pipelinesusing GCP, dbt, and Airbyte Collaborate with marketing, operations, and production teams to define data requirements Extract and integrate data from multiple tools and platforms Optimize and maintain ourdata warehousefor performance and reliability Monitor data quality, troubleshoot pipeline issues, and implement continuous improvements Support ML model deployment and maintenance What We're Looking For 3+ years of experience, designing and buildinglarge-scale data

Requirements

systems, (ETL/ELT, modeling, warehousing) StrongPythonandadvanced SQLskills Hands-on experience withGoogle Cloud Platform Familiarity withAirflow, Prefect, or Temporalfor orchestration Knowledge ofBig Data technologies(Hadoop, Spark, Kafka) Nice-to-have: Experience withdbt and Airbyte Exposure toML deploymentandad-tech environments Strong communication skills to translate technical concepts to non-technical stakeholders Benefits & Perks 23 vacation days + birthday off Private health insurance Flexible benefits plan Hybrid work (3 days remote) Birthday off Modern office in Sant Cugat with chill zones and kitchen Ready to take the next step? Work on high-impact projects, collaborate with top-tier professionals, and make a difference in AI-driven marketing. Apply now and be part of a team that's shaping the future of data engineering

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