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

JR Italy; Trieste/Trst; Remoto; EUR 60.000 - 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 involves tackling complex data challenges using technologies like Python, Kafka, and AWS. You will collaborate with data scientists to drive innovation and enhance product offerings in a dynamic environment focused on customer-centric solutions.

Competenze

• Expertise in batch and distributed data processing.
• Experience with cloud infrastructure and Data Lake platforms.

Mansioni

• Bridge the gap between data science and engineering.
• Collaborate with data scientists to develop practical 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), Trieste

Client:

Futureheads Recruitment | B Corp

Location:

Trieste, Italy (Remote)

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6837761301586903040337129

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—offering 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’re looking for a dynamic, forward-thinking team, this is the place to be!

The tech stack:

• Python
• Kafka/Spark
• Databricks
• AWS

In this role, you will bridge the gap between data science and engineering. You’ll work on complex data challenges, collaborating closely 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 our products and technology.

Key requirements:

• Deep expertise in batch and distributed data processing, along with near real-time streaming pipelines using technologies like Kafka, Flink, and Spark.
• 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.
• Understanding of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC) practices.

Nice to haves:

• Experience with cloud platforms, especially AWS, GCP, or Azure.
• Experience with Databricks is a strong plus.
• Familiarity with streaming technologies, particularly Kafka.