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

JR Italy; Rimini; Remoto; EUR 55.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading InsurTech company is seeking a Mid & Senior Data Engineer to join their growing Data team. This remote role based in Italy involves tackling complex data challenges and driving innovation in the insurance industry. Candidates should have extensive experience in data processing and cloud infrastructure, particularly with Python and AWS. Join a dynamic team focused on making insurance smarter and more accessible.

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 to tackle complex data challenges.
• Collaborate with data scientists and machine learning engineers.

Conoscenze

Python

Data Processing

Data Modeling

DevOps

Strumenti

Kafka

Spark

Databricks

AWS

Descrizione del lavoro

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

Client:

Futureheads Recruitment | B Corp

Location:

Remote (Italy based, Rimini)

Job Category:

Other

EU work permit required: Yes

Job Reference:

6837761301586903040337130

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 comprising 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—covering seamless digital claims, personalized coverage, and fair, data-driven pricing. They are expanding rapidly and seek passionate individuals to join their mission of making insurance smarter and more accessible. If you seek a dynamic, forward-thinking team, this is your opportunity!

The tech stack includes:

• Python
• Kafka/Spark
• Databricks
• AWS

Your role involves bridging data science and engineering, tackling complex data challenges, and collaborating with data scientists and machine learning engineers to develop practical solutions that meet real business needs. Your contributions will drive innovation and influence the future of their 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 have:

• 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.