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

JR Italy; Verona; Remoto; EUR 55.000 - 75.000; 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 to tackle complex data challenges. The ideal candidate will have expertise in data processing technologies and a passion for innovation in the insurance industry.

Competenze

• Deep expertise in batch and distributed data processing.
• Proven 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

AWS

Databricks

Descrizione del lavoro

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

Client: Futureheads Recruitment | B Corp

Location:

Job Category:

Other

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EU work permit required:

Yes

Job Reference:

683776130158690304033715

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 growing their Data team, which currently has over 350 members!

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. They are expanding rapidly and seek passionate individuals to join their mission of making insurance smarter and more accessible. If you desire a dynamic, forward-thinking environment, this is the place for you!

The tech stack:

• Python
• Kafka/Spark
• Databricks
• AWS

Your role involves 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 future 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 software engineering best practices.
• Experience with relational databases and data modeling, including RDBMS (e.g., Redshift, PostgreSQL) and NoSQL systems.
• Solid understanding of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC).

Nice to haves include:

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