N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.We are looking for a Senior Data Engineer who is passionate about building scalable, cloud-native data solutions and eager to grow into a broader architecture role. You will lead the technical delivery of modern data platform solutions while engaging with clients and internal stakeholders to design, implement, and optimize enterprise-grade data systems.ResponsibilitiesLead end-to-end development and implementation of scalable data pipelines, data lakes, and cloud-native data platformsEnsure performance, security, and reliability of data solutions through CI/CD, testing, and automation best practicesMentor and guide a team of engineers; review code, enforce standards, and foster knowledge sharing Participate in solution design with architects and senior stakeholders - contribute to data architecture, system integrations, and technology selection Translate business needs into data models, transformation logic, and orchestration workflows Gradually take on architecture ownership for projects and support pre-sales with technical scoping and effort estimation Work closely with business and technical stakeholders to clarify requirements, demonstrate value, and refine deliverables Participate in pre-sales activities: help shape proposals, provide technical insights, and create solution roadmaps Stay on top of modern data platform trends (e.g., Data Mesh, Lakehouse, real-time analytics, observability) Explore new tools and techniques - contribute to N-iX’s internal Data & Analytics accelerators and reference architecturesRequirements5+ years of hands-on experience in data engineeringStrong SQL, Python, and Spark skillsStrong expertise in (AWS or Azure) and Snowflake modern data platformsKnowledge of Airflow, dbt, Kafka, or similar tools preferredProven experience building data lakes, lakehouses, data warehouses, and streaming pipelinesFamiliarity with architectural concepts like Data Mesh, Data Fabric, and cloud-native data architecturesExperience leading delivery teams or mentoring other engineersExcellent verbal and written communication in EnglishWillingness to travel for business (when needed) and to engage directly with clients;