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

JR Italy; Sassari; Remoto; EUR 50.000 - 75.000; Tempo pieno

Descrizione del lavoro

A cutting-edge insurance company is looking for a Mid & Senior Data Engineer to join their expanding Data team. This remote role focuses on bridging data science and engineering, addressing complex data challenges using technologies like Python, Kafka, and Spark. Join a dynamic team dedicated to transforming the insurance industry with innovative, customer-first solutions.

Competenze

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

Mansioni

• Bridge data science and engineering to solve complex data challenges.
• Collaborate with data scientists and machine learning engineers.

Conoscenze

Python

Data Processing

DevOps

Strumenti

Kafka

Spark

Databricks

AWS

Descrizione del lavoro

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

Client:

Futureheads Recruitment | B Corp

Location:

Sassari, Italy (Remote)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337166

Job Views:

2

Posted:

12.05.2025

Expiry Date:

26.06.2025

Job Description:

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 engineers!

They are a cutting-edge insurance company transforming the industry with a customer-first approach. Their focus is on simplicity, transparency, and innovation—covering seamless digital claims, personalized coverage, and fair, 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 interested in working with 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’ll collaborate closely with data scientists and machine learning engineers to develop practical, technical solutions that meet real business needs. Your contributions will drive innovation and help shape the future of our products and technology.

Key requirements:

• Deep expertise in batch and distributed data processing, as well as near real-time streaming pipelines using technologies like Kafka, Flink, and Spark.
• Proven experience building Data Lake and Big Data analytics platforms on cloud infrastructure.
• Proficiency in Python, following best practices in software engineering.
• 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) practices.

Nice to have:

• Experience with cloud platforms (AWS preferred, open to GCP and Azure).
• Experience with Databricks is a strong plus.
• Familiarity with streaming technologies, especially Kafka.