Requirements: English
Company: JR Italy
Region: workfromhome, sardegna, italia , Sardinia
Social network you want to login/join with:Mid & Senior Data Engineer - InsurTech - Remote (Italy based), SassariClient:Futureheads Recruitment | B CorpLocation:Sassari, Italy (Remote)Job Category:OtherEU work permit required:YesJob Reference:6837761301586903040337166Job 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 expanding its Data team, currently comprising over 350 engineers!They are a cutting-edge insurance company transforming the industry with a customer-first approach. Their focus is on simplicity, transparency, and innovationcovering 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 youre interested in working with a dynamic, forward-thinking team, this is the place for you!The tech stack:PythonKafka/SparkDatabricksAWSYour role will involve bridging data science and engineering, focusing on complex data challenges. Youll collaborate closely with data scientists and machine learning engineers to develop practical, technical solutions that meet real business needs. Your contributions will drive innovation and help shape the future of our products and technology.Key requirements:Deep expertise in batch and distributed data processing, as well as near real-time streaming pipelines using technologies like 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.Understanding of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC) practices.Nice to have:Experience with cloud platforms (AWS preferred, open to GCP and Azure).Experience with Databricks is a strong plus.Familiarity with streaming technologies, especially Kafka.#J-18808-Ljbffr