Senior Data Engineer

Buscojobs; Veneto; In loco; EUR 40.000 - 80.000; Tempo pieno

Descrizione del lavoro

Join a forward-thinking insurance company that values innovation and collaboration. As a Data Engineer, you'll design cutting-edge data architectures and work with passionate professionals committed to continuous learning. This role offers the chance to shape the future of data analytics while enjoying a flexible working environment that promotes work-life balance. If you're ready to drive innovation and make a significant impact in the insurance sector, this opportunity is perfect for you.

Servizi

Private Medical Insurance

Employee Assistance Program

Work-from-Abroad Policy

Flexible Working Policy

Competenze

• Expertise in data processing and analytics with a focus on cloud technologies.
• Proficiency in Python and SQL for data management and engineering.

Mansioni

• Design data product architecture focused on analytics and data science.
• Collaborate with data scientists to define data requirements.

Conoscenze

Batch and real-time data processing

Cloud-based data lakes

Big data analytics

Python

SQL

DevOps best practices

Data Governance

MLOps

English proficiency

Strumenti

Kafka

Flink

Spark

AWS

Descrizione del lavoro

for an insurance sector company that delivers excellent customer experiences at competitive prices using cutting-edge technologies.

The IT technology team plays a central role, with Engineering and Product departments filled with passionate and innovative professionals committed to continuous learning and employing the latest technologies.

Since 2015, they've pursued a mission to provide valuable and inclusive car insurance, cultivating a collaborative culture to fuel collective success. Now, they seek experts ready to steer new, exciting directions.

They provide an inclusive, growth-focused work environment that values autonomy, well-being, and collaboration. Those ready for this challenge are encouraged to join and help drive innovation forward.

As Data Engineers, you will :

• Design data product architecture focused on analytics and data science, particularly forecasting and feature engineering.
• Set best practices in areas like data modeling and governance, ensuring data availability and consistency.
• Build reusable technology for data pipelines.
• Collaborate with data scientists and machine learning engineers to define data requirements.
• Stay current on emerging technologies, engaging in community-driven learning.

Professional Requirements

• Expertise in batch and real-time data processing (Kafka, Flink, Spark).
• Experience with cloud-based data lakes and big data analytics (preferably AWS).
• Proficiency in Python, RDBMS, SQL, and DevOps best practices.
• Knowledge in Data Governance and MLOps is a plus.
• Advanced level in English.

Offer Conditions

• Pension : an equivalent of 5% employee contribution through a pension salary sacrifice (exchange) arrangement.
• Private Medical Insurance.
• Employee Assistance Program 24 / 7 access.
• Work-from-Abroad Policy : Up to 30 calendar days per year.
• Flexible Working Policy : Flexibility on where, when, and how you work to promote work-life balance.