Mid & Senior Data Engineer - InsurTech - Remote (Italy based)

JR Italy; Cagliari; Remoto; EUR 50.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading InsurTech company is seeking a Mid & Senior Data Engineer to join their expanding Data team. This role focuses on bridging data science and engineering, tackling complex data challenges, and driving innovation. Ideal candidates will have expertise in Python and data processing, along with experience in building Data Lakes and cloud-based analytics platforms. Join a dynamic team that is transforming the insurance industry with a customer-first approach.

Competenze

• Deep expertise in batch and distributed data processing.
• Experience building Data Lake and Big Data analytics platforms.

Mansioni

• Collaborate with data scientists and machine learning engineers.
• Develop practical solutions for complex data challenges.

Conoscenze

Python

Data Processing

DevOps

Strumenti

Kafka

Spark

Databricks

AWS

Descrizione del lavoro

Mid & Senior Data Engineer - InsurTech - Remote (Italy based)

We have partnered with an exciting business that is expanding its Data team, currently comprising over 350 professionals!

They are a cutting-edge insurance company transforming the industry with a customer-first approach. Their focus is on simplicity, transparency, and innovation—delivering seamless digital claims, personalized coverage, and data-driven pricing. As they grow rapidly, they seek passionate individuals to join their mission of making insurance smarter and more accessible. If you're looking for a dynamic, forward-thinking team, this is the place for you!

The tech stack:

• Python
• Kafka/Spark
• Databricks
• AWS

Your role will involve bridging data science and engineering, focusing on complex data challenges. You will collaborate with data scientists and machine learning engineers to develop practical solutions that meet real business needs, driving innovation and shaping the future of their products and technology.

Key requirements:

• Deep expertise in batch and distributed data processing, including near real-time streaming pipelines with Kafka, Flink, and Spark.
• Experience building Data Lake and Big Data analytics platforms on cloud infrastructure.
• Proficiency in Python with strong software engineering practices.
• Experience with relational databases and data modeling, including RDBMS (e.g., Redshift, PostgreSQL) and NoSQL systems.
• Understanding of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC).

Nice to haves:

• Experience with cloud platforms like AWS, GCP, or Azure.
• Experience with Databricks is a strong plus.
• Familiarity with streaming technologies, especially Kafka.