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

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

Descrizione del lavoro

A leading InsurTech company is seeking a Mid & Senior Data Engineer to join their dynamic team in Italy. This role focuses on bridging data science and engineering, tackling complex data challenges, and driving innovation in insurance solutions. The ideal candidate will have strong expertise in data processing technologies and a passion for 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.
• Skilled in relational databases and data modeling.

Mansioni

• Bridge the gap between data science and engineering.
• Collaborate with data scientists and machine learning engineers.
• Build practical, technical solutions addressing real business needs.

Conoscenze

Python

Data Processing

DevOps

Data Modeling

Strumenti

Kafka

Spark

AWS

Databricks

Descrizione del lavoro

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

Client:

Futureheads Recruitment | B Corp

Location:

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337111

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 with 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 seeking 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 help bridge the gap between data science and engineering, focusing on complex data challenges. Collaborating closely with data scientists and machine learning engineers, you will build practical, technical solutions addressing real business needs. Your work will drive impactful 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.
• Proficient in Python with strong adherence to software engineering best practices.
• Skilled in relational databases and data modeling, with hands-on experience in RDBMS (e.g., Redshift, PostgreSQL) and NoSQL systems.
• Solid understanding of DevOps, CI/CD pipeline management, and Infrastructure as Code (IaC) using industry-standard practices.

Nice to haves include:

• Experience with cloud platforms (they are using AWS) but open to GCP and Azure.
• Experience with Databricks is a strong plus.
• Streaming technologies (Kafka is their go-to).