Requirements: English
Company: JR Italy
Region: workfromhome, umbria, italia , Umbria
Social network you want to login/join with:Mid & Senior Data Engineer - InsurTech - Remote (Italy based), PerugiaClient:Futureheads Recruitment | B CorpLocation:Perugia, ItalyJob Category:OtherEU work permit required:YesJob Reference:6837761301586903040337137Job Views:2Posted:12.05.2025Expiry Date:26.06.2025Job 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 innovationoffering 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 desire a dynamic, forward-thinking environment, this is the place for you!The tech stack includes:PythonKafka/SparkDatabricksAWSYour role involves 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:Extensive experience in batch and distributed data processing, including near real-time streaming pipelines with Kafka, Flink, and Spark.Proven track record in 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 have:Experience with cloud platforms, especially AWS; GCP and Azure are also acceptable.Experience with Databricks is highly advantageous.Familiarity with streaming technologies, particularly Kafka.#J-18808-Ljbffr