Senior Data Engineer (with AI/ML experience)

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries.

Join N-iX and become part of a team where your ideas make a real impact. We're looking for a hands-on Senior Data Engineer who can independently design and deliver end-to-end data solutions.

Requirements

and transform them into scalable data platforms, analytics solutions, and AI-enabled applications. The ideal candidate is comfortable owning initiatives from discovery through implementation while collaborating closely with the engineering team. This role requires deep expertise in Snowflake and modern cloud data platforms, along with strong SQL, Python, and data modeling skills.

Working hours: South America (work schedule 8:00 AM-5:00 PM CST), Europe and Ukraine (with ability to work till around 2:00-3:00PM CST/ 90:00-10:00 PM CET/ 10:00-11:00 PM EET).

, define technical solutions, and deliver business value. Implement CI/CD practices, governance, RBAC, and data security within Snowflake environments. Contribute to AI-enabled data solutions using modern AI platforms and machine learning workflows.

Mentor other engineers through code reviews, technical guidance, and engineering best practices.

: 5+ years of hands-on experience as a Data Engineer building and delivering end-to-end data solutions. 3+ years of hands-on experience with Snowflake , including building production-grade data pipelines using Dynamic Tables, Streams, Tasks, Stored Procedures, and Snowpark. Expert-level SQL skills with extensive experience optimizing complex queries and designing high-performance data warehouses.

Strong experience designing and implementing enterprise data models using dimensional modeling (Kimball), Data Vault, or normalized approaches. Advanced Python programming skills for data processing, API integrations, workflow automation, and ETL/ELT development. Experience building and maintaining cloud-based data platforms on Microsoft Azure , including Azure Data Factory, Azure Functions, and Azure Data Lake Storage (ADLS Gen2).

Strong experience developing business intelligence solutions using Power BI , including data modeling, DAX, and report performance optimization. Experience implementing CI/CD pipelines, version control, RBAC, and data governance practices for modern data platforms. Experience building AI-enabled data solutions using technologies such as Snowflake Cortex, Azure AI Foundry, Azure Copilot Studio and Python-based machine learning frameworks.

, translate them into technical solutions, and independently deliver projects from concept through implementation.

Key Responsibilities

: Design, build, and maintain scalable end-to-end data pipelines from ingestion through transformation and reporting. Develop robust data warehouse solutions using modern data modeling techniques (Kimball, Data Vault, or normalized models). Build and optimize Snowflake-native solutions using Dynamic Tables, Streams, Tasks, Stored Procedures, and Snowpark.

Design high-performance SQL queries and optimize warehouse performance, clustering, and search optimization. Develop Python-based data processing and API ingestion workflows. Build and maintain data movement and orchestration pipelines using Azure Data Factory and Azure cloud services.

Design and optimize Power BI semantic models, reports, and dashboards for business stakeholders.