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

JR Italy; Torino; 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 expanding Data team. This role focuses on bridging data science and engineering, tackling complex data challenges using technologies like Python, Kafka, and AWS. Join a dynamic team that is transforming the insurance industry with innovative solutions and a customer-first approach.

Competenze

• Deep expertise in data processing and streaming pipelines.
• Experience building Data Lake and analytics platforms on cloud.

Mansioni

• Bridge data science and engineering to solve complex data challenges.
• Work with data scientists to develop innovative solutions.

Conoscenze

Python

Data Processing

DevOps

Strumenti

Kafka

Spark

Databricks

AWS

Descrizione del lavoro

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

Client:

Futureheads Recruitment | B Corp

Location:

Torino, Italy (Remote)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

683776130158690304033712

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. Their focus is on simplicity, transparency, and innovation—delivering seamless digital claims, personalized coverage, and 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 includes:

• Python
• Kafka/Spark
• Databricks
• AWS

Your role involves bridging data science and engineering, focusing on complex data challenges. You’ll work closely with data scientists and machine learning engineers to develop practical, technical solutions that meet real business needs, driving impactful innovation and shaping future products and technology.

Key requirements:

• Deep expertise in batch and distributed data processing, as well as near 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 software engineering best practices.
• Experience with relational databases and data modeling, including RDBMS (e.g., Redshift, PostgreSQL) and NoSQL systems.
• Strong understanding of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC).

Nice to haves:

• Experience with cloud platforms, especially AWS, but GCP and Azure are also acceptable.
• Experience with Databricks is a plus.
• Familiarity with streaming technologies, particularly Kafka.