Data Engineer (remote)

Who are we? Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success. At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like: Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you! Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities! Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc. As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. We look forward to meeting you! Job Description As a Data Engineer, you will contribute to innovative projects and collaborating with talented teams. This role offers the opportunity to work remotely (from Italy) while working in a stimulating and supportive setting. Your missions

• Design, develop and optimize Data Engineering solutions on the Azure platform (Databricks, Synapse, DevOps, Python, Azure SQL, Cosmos DB, Parquet)
• Manage and integrate relational and non-relational (NoSQL) databases
• Develop and maintain ETL processes for data collection, transformation, and loading
• Collaborate with Analytics teams for the implementation of Data Warehouse and Business Intelligence solutions
• Ensure the quality, security, and scalability of implemented solutions
• Monitor and optimize data flow performance
• Support the team in troubleshooting and defining best practices
• Document developed solutions and processes

Your profile

• At least 4 years of experience as a Data Engineer
• Fluent Italian language skills; good English ia a nice to have
• Advanced experience with Azure technologies: Databricks, Synapse, DevOps, Python, Azure SQL, Cosmos DB, Parquet
• In-depth knowledge of relational and NoSQL databases
• Experience with ETL tools and Data Warehouse/Analytics
• Ability to work independently and in a team, problem-solving skills, results-oriented, flexibility, and adaptability

What We Offer

• An international community bringing together 110+ different nationalities
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
• A robust training system with our internal Academy and 250+ available modules
• Full remote working option
• And much more!

Diversity & Inclusion Amaris Consulting is committed to promoting diversity within its teams and to creating an inclusive working environment. We consider applications from all qualified individuals, regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or any other characteristic.