Описание
team.blue is a digital enabler for companies and entrepreneurs, providing innovative digital services through an ecosystem of hosting, SaaS, e-commerce, compliance, marketing, and collaboration brands across Europe.
Задачи
Design and deliver scalable customer-domain data products that provide a unified source of truth across 60+ general sub-brands
Build and optimize ETL/ELT pipelines for structured and unstructured data, ensuring high availability and low latency
Lead the design of secure and cost-efficient data architectures
Establish and enforce best practices in data modeling, orchestration, and observability
Implement data governance frameworks covering lineage tracking, metadata management, and quality controls
Translate complex business requirements into high-performing technical solutions for Analytics, ML, and AI teams
Manage and tune data pipelines through indexing strategies, query optimization, and schema evolution
Mentor junior engineering team members and foster technical excellence
Lead projects from ideation to actionable solutions while balancing technical debt and rapid delivery
Translate complex technical concepts into clear business value for non-technical stakeholders
Manage multiple high-priority workstreams with attention to detail
Требования
7+ Years of professional experience in data engineering or data management
Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field
Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog) or very rich hands-on experience with open table formats
Expert-level SQL skills, including optimization and indexing
Mastery of dimensional, star schema, and snowflake data modeling techniques
Proficiency with at least one major cloud provider, such as AWS or Azure
Experience with Airflow or dbt
Strong command of Docker and Kubernetes
Commitment to CI/CD best practices with Gitlab or GitHub
Experience with data versioning, schema evolution, and distribut
📌 data engineer for customer data platforms (Madrid)
🏢 Enfint
📍 Madrid