⚡ 𝐖𝐞’𝐫𝐞 𝐡𝐢𝐫𝐢𝐧𝐠: 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 📊Do you love working with big data?Join us in building reliable pipelines and data infrastructure that power analytics and drive business insights𝑳𝒂𝒏𝒈𝒖𝒂𝒈𝒆𝒔:Confident spoken English level B2 or higherConfident spoken German or Italian level B2 or higher𝐊𝐞𝐲 𝐬𝐤𝐢𝐥𝐥𝐬:Hands-on experience with modern technologies in the following areas:Databases and storage:∙ SQL (PostgreSQL, MySQL, Oracle, Microsoft SQL Server, etc.);∙ NoSQL (MongoDB, Cassandra, DynamoDB, Redis, etc.);∙ Data Modeling: Dimensional Modeling, Star/Snowflake Schema;Basic understanding of data architecture and data processing system performance optimization;Fluency in programming and scripting languages such as Python, Scala, or Java;Theoretical knowledge of CI/CD (continuous integration/continuous deployment) practices for data pipelines (e.g., Git, Jenkins, Terraform);Proven experience in creating reliable, efficient, and automated data workflows;𝐀 𝐩𝐥𝐮𝐬:Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes);Experience in specific industries, such as finance, healthcare, e-commerce, or manufacturing;Experience with large-scale data architectures and big data processing frameworks (Apache Spark or any other);Familiarity with modern AI tools and experience using them in production.𝐊𝐞𝐲 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:▸Developing and optimizing data pipelines for collecting, processing, and analyzing large-scale data;▸Working as part of the client's team on international projects (primarily in EMEA);▸Collaborating with data architects, analysts, and business teams to make effective data-driven decisions;▸Building and managing data warehousing solutions, including relational databases and NoSQL systems;▸Ensuring data quality and consistency in accordance with best practices and standards;▸Troubleshooting data issues, optimizing performance, and automating workflows.𝐖𝐞 𝐎𝐟𝐟𝐞𝐫:☑︎ Learning and Development:A wide range of diverse projects in industries such as FinTech, Medicine, Entertainment, eCommerce, Gaming, Artificial Intelligence, and more;A broad technology stack with the opportunity to switch between technologies;Individual growth plans and regular reviews of conditions (project roles, salary level);Preparation for interviews with international clients in English.☑︎ Work Environment:On-site work format;Spacious and comfortable workstations;Detailed onboarding: introduction to the team, processes, and policies, office tour, welcome card;Cozy kitchens, game rooms, coworking spaces, and lounge areas.☑︎ Additional Perks:Voluntary health insurance;Discounts from partner companies (from pizzerias and bookstores to electronics stores).Let’s talk. Send your CV to job@innowise.com DM me for detailsWe look forward to your application! ✅

Data Engineer