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

JR Italy; Milano; Remoto; EUR 50.000 - 75.000; Tempo pieno

Descrizione del lavoro

A leading InsurTech company is seeking a Mid & Senior Data Engineer to join their dynamic team. The role involves tackling complex data challenges and collaborating with data scientists to develop innovative solutions. The company emphasizes a customer-first approach, aiming to make insurance smarter and more accessible. Candidates should have extensive experience in data processing, proficiency in Python, and familiarity with cloud infrastructure.

Competenze

• Extensive experience in batch and distributed data processing.
• Proven ability to build Data Lake and Big Data analytics platforms.

Mansioni

• Bridge data science and engineering, focusing on complex data challenges.
• Collaborate with data scientists and machine learning engineers.

Conoscenze

Python

Data Processing

Collaboration

Strumenti

Kafka

Spark

AWS

Databricks

Descrizione del lavoro

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

Client:

Futureheads Recruitment | B Corp

Location:

Italy (Remote, Italy-based)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

683776130158690304033710

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’re a cutting-edge insurance company transforming the industry with a customer-first approach, emphasizing simplicity, transparency, and innovation—digital claims, personalized coverage, and data-driven pricing. They’re expanding rapidly and seek 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 to be!

The tech stack:

• Python
• Kafka/Spark
• Databricks
• AWS

Your role involves bridging data science and engineering, focusing on complex data challenges, collaborating with data scientists and machine learning engineers to develop practical solutions that meet real business needs. Your work will foster innovation and shape the future of our products and technology.

Key requirements:

• Extensive experience in batch and distributed data processing, including near real-time streaming pipelines with Kafka, Flink, and Spark.
• Proven ability to build Data Lake and Big Data analytics platforms on cloud infrastructure.
• Proficiency in Python, following best practices in software engineering.
• 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 haves:

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