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

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

Descrizione del lavoro

A dynamic InsurTech company in Vicenza is seeking a Mid & Senior Data Engineer to join their rapidly growing Data team. This role involves bridging data science and engineering, focusing on innovative solutions for real business needs. If you are passionate about transforming the insurance industry with data-driven approaches, this is the opportunity for you. Join a forward-thinking team dedicated to making insurance smarter and more accessible.

Competenze

• Deep expertise in batch and distributed data processing.
• Proven experience building Data Lake and Big Data analytics platforms.
• Proficiency in Python and software engineering best practices.

Mansioni

• Bridge data science and engineering to solve complex data challenges.
• Collaborate with data scientists and machine learning engineers.
• Drive impactful innovation in products and technology.

Conoscenze

Python

Data Processing

DevOps

Strumenti

Kafka

Spark

Databricks

AWS

Descrizione del lavoro

Social network you want to login/join with:

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

Client:

Futureheads Recruitment | B Corp

Location:

Vicenza, Italy (Remote)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337113

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 comprising 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—offering 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’re looking for a dynamic, forward-thinking team, this is the place to be!

The tech stack:

• Python
• Kafka/Spark
• Databricks
• AWS

In this role, you'll bridge data science and engineering, focusing on complex data challenges. You will collaborate closely with data scientists and machine learning engineers to develop practical technical solutions that meet real business needs. Your contributions will drive impactful innovation and help shape the future of our products and technology.

Key requirements:

• Deep expertise in batch and distributed data processing, including real-time streaming pipelines using 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.
• Solid understanding of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC).

Nice to haves:

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