Senior Data Engineer (Remote Within Italy)

Buscojobs; Puglia; Remoto; EUR 40.000 - 80.000; Tempo pieno

Descrizione del lavoro

An innovative company in the insurance sector is seeking passionate Data Engineers to join their dynamic IT team. This role focuses on designing data product architecture for analytics and data science, ensuring best practices in data modeling and governance. The ideal candidates will have expertise in batch and real-time data processing technologies like Kafka and Spark, along with proficiency in Python and SQL. The company promotes a collaborative and growth-oriented work environment, offering flexible working policies and opportunities for professional development. Join this forward-thinking team to drive innovation in the insurance industry!

Servizi

Private Medical Insurance

24/7 Employee Assistance Program

Work-from-Abroad Policy

Flexible Working Policy

Pension Contribution

Competenze

• Expertise in batch and real-time data processing, particularly with Kafka, Flink, and Spark.
• Proficiency in Python, SQL, and cloud-based data analytics.

Mansioni

• Design data product architecture focused on analytics and data science.
• Collaborate with data scientists and machine learning engineers.

Conoscenze

Batch Data Processing

Real-time Data Processing

Python

SQL

Data Governance

MLOps

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:

1. Design data product architecture focused on analytics and data science, particularly forecasting and feature engineering.
2. Set best practices in areas like data modeling and governance, ensuring data availability and consistency.
3. Build reusable technology for data pipelines.
4. Collaborate with data scientists and machine learning engineers to define data requirements.
5. 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.