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

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

Descrizione del lavoro

A leading InsurTech company is seeking a Mid & Senior Data Engineer to join their growing Data team. This remote position based in Catania offers the chance to work with innovative technologies and contribute to transforming the insurance industry. The ideal candidate will have expertise in data processing and cloud infrastructure, working closely with data scientists to develop impactful solutions.

Competenze

• Expertise in batch and distributed data processing.
• Experience building Data Lake and Big Data platforms.

Mansioni

• Bridge data science and engineering, focusing on complex data challenges.
• Collaborate with data scientists and ML engineers.

Conoscenze

Python

Data Processing

Data Modeling

DevOps

Strumenti

Kafka

Spark

Databricks

AWS

Descrizione del lavoro

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

Client:

Futureheads Recruitment | B Corp

Location:

Italy (Remote, based in Catania)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337122

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 its Data team, currently over 350 members!

They’re a cutting-edge insurance company transforming the industry with a customer-first approach, focusing on simplicity, transparency, and innovation—digital claims, personalized coverage, and data-driven pricing. 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 to be!

The tech stack:

• Python
• Kafka/Spark
• Databricks
• AWS

You will bridge data science and engineering, focusing on complex data challenges. Collaborate with data scientists and ML engineers to develop solutions that meet business needs, impacting product and technology evolution.

Key requirements:

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

Nice to haves:

• Experience with AWS (they use it), GCP, or Azure
• Experience with Databricks is a strong plus
• Familiarity with streaming technologies, especially Kafka