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

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

Descrizione del lavoro

A growing InsurTech company is seeking a Mid & Senior Data Engineer to join their expanding Data team. This remote role focuses on transforming the insurance industry with innovative solutions. Candidates will work with cutting-edge technologies to solve complex data challenges and enhance customer experience.

Competenze

• Deep expertise in batch and distributed data processing.
• Experience building Data Lakes and Big Data platforms.
• Proficiency in Python and best software engineering practices.

Mansioni

• Bridge data science and engineering, working on complex data challenges.
• Collaborate with data scientists and machine learning engineers.
• Drive innovation and shape product and technology futures.

Conoscenze

Python

Kafka

Spark

Data Processing

DevOps

Strumenti

AWS

Databricks

Redshift

PostgreSQL

Descrizione del lavoro

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

Client:

Futureheads Recruitment | B Corp

Location:

Remote (Italy based)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337143

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—digital claims, personalized coverage, and data-driven pricing. They seek passionate individuals to join their mission of making insurance smarter and more accessible.

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 solutions that meet business needs, driving innovation and shaping product and technology futures.

Key requirements:

• Deep expertise in batch and distributed data processing, including real-time streaming with Kafka, Flink, and Spark.
• Experience building Data Lakes and Big Data platforms on cloud infrastructure.
• Proficiency in Python, following best software engineering practices.
• Experience with relational databases (Redshift, PostgreSQL) and NoSQL systems.
• Understanding of DevOps, CI/CD, and Infrastructure as Code (IaC).

Nice to haves:

• Experience with AWS (others like GCP and Azure are a plus).
• Experience with Databricks.
• Knowledge of streaming technologies, especially Kafka.