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# Data Engineer (Senior)

- **Company:** Team Blue
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Machine Learning, Meta-Data Management, Raw Data, Indexer, Data Management, Data Pipelines
- **Published:** September 16, 2026
- **Apply:** https://www.buscojobs.com.es/data-engineer-senior-en-barcelona-ID-370601255

## About the Role

Compensaciones / Beneficios * Data Product Innovation: design and deliver scalable data products for the customer domain * Pipeline Engineering: build and optimize ETL/ELT pipelines for large data volumes * Architectural Leadership: design secure, cost-efficient data architectures and enforce best practices * Governance u**** Integrity: implement data governance, lineage, metadata management and quality controls * Cross-Functional Collaboration: act as sparring partner for Analytics, ML, and AI teams * Building for performance: tune pipelines, indexing, and schema evolution * Mentorship: develop the engineering team and promote technical excellence Responsabilidades * 7+ years of professional data engineering experience * Advanced degree (Masters or PhD) in a quantitative field * Proven deploying stable, high-performance data solutions with measurable value Requisitos principales *

## Description

Experteer Overview As a Senior Data Engineer in Central Data Platform, you will shape the central data ecosystem for the customer domain, delivering scalable data products that form the single source of truth across 60+ brands.You'll turn raw data into a semantic layer powering BI, AI, and operational efficiency.Collaborate with Analytics, ML, and AI teams to translate business needs into robust technical solutions, and lead architecture and governance for high-value data platforms.This role offers meaningful impact across a large, multi-brand ecosystem with a strong emphasis on scalability and data quality.Compensaciones / Beneficios * Data Product Innovation: design and deliver scalable data products for the customer domain * Pipeline Engineering: build and optimize ETL/ELT pipelines for large data volumes * Architectural Leadership: design secure, cost-efficient data architectures and enforce best practices * Governance u**** Integrity: implement data governance, lineage, metadata management and quality controls * Cross-Functional Collaboration: act as sparring partner for Analytics, ML, and AI teams * Building for performance: tune pipelines, indexing, and schema evolution * Mentorship: develop the engineering team and promote technical excellence Responsabilidades * 7+ years of professional data engineering experience * Advanced degree (Masters or PhD) in a quantitative field * Proven deploying stable, high-performance data solutions with measurable value Requisitos principales *


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