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

JR Italy; Lecce; 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 growing team. This remote role based in Italy focuses on innovative data solutions, requiring expertise in data processing and Python. Join a dynamic team dedicated to transforming the insurance industry through technology and customer-centric solutions.

Competenze

• Deep expertise in batch and distributed data processing.
• Proven experience building Data Lake and Big Data analytics platforms.

Mansioni

• Bridge data science and engineering to solve complex data challenges.
• Collaborate with data scientists to develop practical solutions.

Conoscenze

Data Processing

Python

Data Modeling

DevOps

Strumenti

Kafka

Spark

Databricks

AWS

Descrizione del lavoro

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

Client:

Futureheads Recruitment | B Corp

Location:

Remote (Italy based, Lecce)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337152

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 engineers!

They are a cutting-edge insurance company transforming the industry with a customer-first approach. Their focus is on simplicity, transparency, and innovation—offering 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 are looking for 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 include:

• 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.
• 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 have:

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