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

JR Italy; Prato; 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 role focuses on bridging data science and engineering, tackling complex data challenges, and driving innovation. Candidates should have expertise in data processing, cloud infrastructure, and strong Python skills. Join a dynamic team committed to transforming the insurance industry with data-driven solutions.

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

Data Modeling

DevOps

CI/CD

Strumenti

AWS

Kafka

Spark

Databricks

PostgreSQL

Descrizione del lavoro

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

Client:

Futureheads Recruitment | B Corp

Location:

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337140

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—delivering 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 want to be part of a dynamic, forward-thinking team, this is the place for you!

The tech stack includes:

• 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 future products and technology.

Key requirements:

• Deep expertise in batch and distributed data processing, including near real-time streaming pipelines using 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 (AWS preferred, GCP and Azure are also options).
• Experience with Databricks is a strong plus.
• Familiarity with streaming technologies, especially Kafka.