Senior Data and Infrastructure Engineer (f/m/d)

We are looking for a Senior Data and infrastructure Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.ResponsibilitiesDesign, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international businessBuild and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organizationDevelop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processingSupport analytical and machine learning workflows by providing reliable and well-structured datasetsIntegrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust, and others)Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standardsMonitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutionsEvaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystemContribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organizationRequirements4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related fieldGood hands on experience in one of the major clouds . AWS preferred, Expert Hands on experience required on linux toolsShould be able to deploy applications using docker on bare metal serversBachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative disciplineStrong expertise in SQL PSQL and relational database concepts, including data modeling and query optimizationExperience designing and maintaining data warehouse architecturesHands-on experience with columnar databases and performance optimization techniquesExperience working with workflow orchestration and distributed job scheduling tools, preferably Apache AirflowSolid programming skills in Python or Java, with a preference for PythonGood understanding of Linux environments and scripting (Bash)Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologiesHave experience working s3 compatible open source solution and managed solutionsFamiliarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processingStrong communication skills in English