
1001 - 5000 employees
☁️ SaaS
🛍️ eCommerce
SaaS • eCommerce • Technology
team. blue is a leading digital enabler for companies and entrepreneurs, serving over 3. 3 million customers across Europe. With a team of more than 2000 experts, they provide innovative digital services aimed at empowering businesses through technology. team. blue operates a variety of brands and focuses on delivering excellent customer experiences.
🕒 April 16
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1001 - 5000 employees
☁️ SaaS
🛍️ eCommerce
SaaS • eCommerce • Technology
team. blue is a leading digital enabler for companies and entrepreneurs, serving over 3. 3 million customers across Europe. With a team of more than 2000 experts, they provide innovative digital services aimed at empowering businesses through technology. team. blue operates a variety of brands and focuses on delivering excellent customer experiences.
• Design and deliver high-quality, scalable data products that provide a unified source of truth across a complex ecosystem of 60+ global sub-brands • Build and optimize robust ETL/ELT pipelines to ingest and transform massive volumes of structured and unstructured data • Lead the design of secure, cost-efficient data architectures • Implement rigorous data governance frameworks, including lineage tracking, metadata management, and quality controls • Act as a strategic 'sparring partner' for Analytics, ML, and AI teams • Manage and tune data platforms for peak performance • Mentor junior members and foster a culture of technical excellence
• 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) • Expert-level SQL skills (optimization, indexing) and mastery of data modeling techniques (Dimensional, Star Schema, Snowflake) • Proficiency in at least one major cloud provider (AWS, GCP, etc) and modern orchestration tools like Airflow or dbt • Proven experience managing data across various RDBMS platforms (PostgreSQL, SQL Server, Oracle, etc.) • Strong command of Docker/Kubernetes and commitment to CI/CD best practices • Experience with data versioning, schema evolution, and distributed metadata management
• Come as you are • Everyone is welcome here • Diversity & Inclusion are at our core • We do not tolerate intolerance • ESG commitment to environment and social impact
Apply Now🕒 April 1
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Cloud
Docker
Hadoop
Java
SDLC
Spark
Go
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Docker
Hadoop
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Airflow
Amazon Redshift
Apache
AWS
Cloud
Kafka
NoSQL
Numpy
Open Source
Pandas
Postgres
Python
RDBMS
Scikit-Learn
Spark
SQL
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Cloud
Docker
Hadoop
Java
Scala
SDLC
Spark
Go
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🗣️🇮🇹 Italian Required
Azure
Google Cloud Platform
Hadoop
NoSQL
Python
Scala
Spark
SQL