Senior Data Engineer

🕒 April 16

🇮🇹 Italy – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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team.blue

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

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.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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