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

JR Italy; Latina; 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 dynamic team. This role focuses on bridging data science and engineering, tackling complex data challenges, and fostering innovation. Ideal candidates will have extensive experience in data processing and proficiency in Python, alongside knowledge of cloud infrastructure and data modeling. Join a forward-thinking team dedicated to transforming the insurance industry with a customer-first approach.

Competenze

• Extensive experience in batch and distributed data processing.
• Proficiency in Python and best software engineering practices.
• Knowledge of relational databases and data modeling.

Mansioni

• Bridge data science and engineering to solve complex data challenges.
• Collaborate with data scientists and machine learning engineers.
• Develop practical solutions that meet business needs.

Conoscenze

Python

Data Processing

Collaboration

Innovation

Strumenti

Kafka

Spark

Databricks

AWS

Descrizione del lavoro

Social network you want to login/join with:

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

Client:

Futureheads Recruitment | B Corp

Location:

Italy (Remote)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337153

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 are a cutting-edge insurance company transforming the industry with a customer-first approach, focusing on simplicity, transparency, and innovation—covering digital claims, personalized coverage, and data-driven pricing. They're expanding rapidly and seeking 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:

• Python
• Kafka/Spark
• Databricks
• AWS

You will bridge data science and engineering, working on complex data challenges, collaborating with data scientists and machine learning engineers to develop practical solutions that meet business needs. Your work will foster innovation and influence the future of our products and technology.

Key requirements:

• Extensive experience in batch and distributed data processing, including real-time streaming with Kafka, Flink, and Spark.
• Experience building Data Lake and Big Data analytics platforms on cloud infrastructure.
• Proficiency in Python, following best software engineering 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 pipelines, and Infrastructure as Code (IaC) practices.

Nice to have:

• Experience with AWS and openness to GCP and Azure.
• Experience with Databricks is a strong plus.
• Familiarity with streaming technologies, especially Kafka.