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Senior Big Data Engineer

Job Level:  Professional
Location: 

Milan, IT, 20145

Due Date:  To be filled asap
Area of Expertise:  IT & Tech Engineering
Unit:  Allianz Italy
Job Type:  Full-Time
Remote Job:  Not applicable
Employment Type:  Permanent
ID:  2523

The Senior Big Data Engineer will work within the Advanced Analytics Solution, whose mission is to develop and operate analytics and AI assets to improve the Company processes and business results. The Senior Big Data Engineer will work in close collaboration with other resources from analytics, IT, and Architecture teams to develop, industrialize, and operate data pipelines and analytics/AI models. She/he will also be responsible to coordinate with IT department to manage the analytics environments used by the team in the current cloud-based architecture.
The Senior Big Data Engineer will also support technology scouting and the definition of solutions and standards for Data & Analytics within the Company, being part of cross-functional working groups both at local and international level.

 

KEY RESPONSIBILITIES


- Develop, optimize, and re-engineer data pipelines and analytics models;
- Be the focal point for the Advanced Analytics Solution team for the definition and management of the cloud-based analytics infrastructure in coordination with the IT department;
- Be the focal point of the Junior Big Data Engineers and Data Scientist for BDE topics and mentor the whole team to adopt good practices;
- Coordinate the activities needed to operate and monitor projects in production;
- Coordinate Big Data Engineering projects to deliver expected outcomes according to plans;
- Scout new technologies and techniques in the Data & Analytics space;
- Participate in cross-functional working groups to represent the needs of the Advanced Analytics team and contribute to target solution definition;
- Support the Head of Advanced Analytics Solution in capacity and resources planning.

 

KEY REQUIREMENTS/SKILLS/EXPERIENCE

 

- Master's degree in Computer Science or Computer Engineering. PhD or post-graduate courses in related fields (e.g. HPC, BDE, DS) is a plus;
- Proven experience (e.g. +4 years) in Big Data or Machine Learning Engineering, contributing to the development and operations of analytics/ AI assets in large-data contexts;
- Excellent knowledge of Python, PySpark, SQL, scripting, orchestration tools (Luigi, Airflow), as well as of software engineering and optimization techniques;
- Excellent knowledge of relational and non-relational DBs and good understanding of ETL, CDC, and data streaming tools and techniques;
- Excellent knowledge of analytics and Big Data architectures (Kafka, Hadoop, Databricks, #), and of web and cloud technologies (Docker, Kubernetees, #). Knowledge and experience of Microsoft Azure ecosystem is a plus;
- Knowledge of statistics and data science topics, MLOps techniques, network communication protocols and project management will be considered as a plus
- Fluent in English (both written and spoken)
- Team spirit, self-motivation, and a proactive result-driven working style
- Strong ability to work under pressure and sharply meet deadlines, self-organizing work
- Strong analysis, problem-solving, and communication skills
- Ability to develop a medium-long term vision, define an implementation roadmap taking cost/benefit into account, identify quick wins and incremental delivery approaches
 

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Join us. Let's care for tomorrow.

Both genders may apply in accordance with the L. 903/77 (s.m.i).