Senior Data Engineer – Milan, Italy

🧠 Senior Data Engineer

📍 Hybrid | Milan, Italy
🕒 Full-Time
💼 Department: IT
🔢 Job ID: 1755
⭐ Rated 4.1/5 on Glassdoor

🚀 About the Role

Join the Business Insights team at Dynatrace and play a mission-critical role in managing and evolving our enterprise data infrastructure. As a Senior Data Engineer, you’ll be the driving force behind scalable, resilient, and high-performance data pipelines that transform raw data into meaningful insights. You’ll architect the data stack, lead engineering best practices, and drive innovations that power real-time business decisions across global operations.

🛠️ Key Responsibilities

• Own and evolve the data architecture behind Dynatrace’s analytical products.

• Design, build, and optimize scalable data pipelines for ingestion, transformation, and integration from diverse sources.

• Ensure system performance, reliability, and scalability across production environments.

• Implement robust CI/CD pipelines with functional and unit testing.

• Partner with business stakeholders to translate data needs into production-ready assets.

• Create and manage data models (conceptual, logical, and physical) for structured and semi-structured data.

• Collaborate with Data Governance teams to ensure regulatory compliance and policy alignment.

• Proactively monitor data systems, implementing error recovery, alerting, and security mechanisms.

✅ Required Qualifications

• Minimum 5 years’ experience in Data Engineering, ideally within Business Intelligence or analytics domains.

• Advanced proficiency in SQL and Python.

• Deep experience with Snowflake and cloud storage platforms (e.g., AWS S3).

• Demonstrated success in optimizing real-time dashboards and data pipelines.

• Strong performance tuning skills in query and data handling.

• Proven track record of resilient, secure, and scalable data architecture.

➕ Preferred Skills & Certifications

• Familiarity with Terraform or other Infrastructure-as-Code tools.

• Experience with Tableau, Power BI, or Dataiku.

• Understanding of Data Observability, Data Quality, and Monitoring tools.

• AWS or Snowflake certifications (or equivalent cloud certifications).

• Background in big data, machine learning, and cloud-native solutions.

• Knowledge of modern data paradigms (HTAP, Data Lakehouse, Time-Series DBs, Event Streaming, Graph DBs).

• Degree in Engineering, Computer Science, Mathematics, or related field.

• Ability to manage ambiguity and execute in fast-paced environments.

💎 Why Join Dynatrace?

• Work for a one-product SaaS company with global impact and real value.

• Collaborate with brilliant minds on cutting-edge technologies.

• Thrive in a culture that champions innovation, diversity, and creative freedom.

• Grow through a custom career development program tailored to your strengths.

• Enjoy relocation support and competitive compensation with stock options and perks.

• Join a truly global team—where your voice, ideas, and background are celebrated.

🌍 About Dynatrace

Dynatrace is a leader in unified observability and AI-powered analytics, enabling businesses to manage complex, modern cloud environments with clarity and control. Our platform delivers end-to-end visibility from infrastructure to user experience, helping customers optimize performance, cut through complexity, and automate intelligently.