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

JR Italy; Lecco; 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 Data team. This role focuses on bridging data science and engineering to tackle complex challenges. You will work with cutting-edge technologies, including Python, Kafka, and AWS, to drive innovation and enhance their digital offerings. If you are passionate about transforming the insurance industry with data-driven solutions, this is the opportunity for you.

Competenze

• Deep expertise in batch and distributed data processing.
• Proven experience building Data Lake and Big Data analytics platforms.
• Proficiency in Python and software engineering best practices.

Mansioni

• Bridge the gap between data science and engineering.
• Collaborate with data scientists to develop technical solutions.
• Foster impactful innovation in products and technology.

Conoscenze

Python

Data Processing

DevOps

Strumenti

Kafka

Spark

AWS

Databricks

Descrizione del lavoro

Social network you want to login/join with:

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

Client:

Futureheads Recruitment | B Corp

Location:

Lecco, Italy (Remote)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337154

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—delivering seamless digital claims, personalized coverage, and fair, data-driven pricing. As they grow rapidly, they 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:

• Python
• Kafka/Spark
• Databricks
• AWS

Responsibilities:

Bridge the gap between data science and engineering by tackling complex data challenges. Collaborate closely with data scientists and machine learning engineers to develop practical, technical solutions that meet real business needs. Your work will foster impactful innovation and shape the future of our products and technology.

Key requirements:

• Deep expertise in batch and distributed data processing, including near real-time streaming pipelines with Kafka, Flink, and Spark.
• Proven experience building 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.
• Solid understanding of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC) practices.

Nice to haves:

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