Senior Data Engineer @ N-iX

2 weeks ago

Remote, Czech Republic N-iX Full time

We are looking for a Senior Data Engineer to join our client’s internal IT organization. The team is lean and highly collaborative, working closely with a BI Developer (Qlik Sense, Tableau) and a Client Lead, while partnering with an external Israeli services provider. The role is hands-on, with a strong focus on Snowflake data models and AWS Glue pipelines, supporting mission-critical reporting and analytics. You will maintain and enhance the existing data landscape, ensure smooth ETL/ELT operations, and support the client’s evolving analytics initiatives. Future responsibilities may include designing new datasets and supporting migration toward Power BI. Responsibilities Data Modeling & Maintenance Enhance and optimize existing Snowflake data models.Ensure data structures support reporting needs (Qlik Sense, Tableau, and future Power BI). Pipeline Development & Operations Design, implement, and maintain ETL/ELT pipelines using AWS Glue and other AWS services.Manage ingestion from diverse sources (ERP, CRM/Salesforce, transactional DB replication, IoT/mobile app logs, Google Analytics, JSON/Parquet files). Collaboration & Support Work closely with the BI Developer and Client Lead to translate requirements into scalable data solutions. Provide timely support for production issues, ensuring SLA-critical systems remain stable. Collaborate with external service partners when necessary. Future Initiatives Contribute to new data design projects and upcoming Power BI migration. Participate in requirements discussions, documentation, and solution design. Requirements Must-Have Skills: 5+ years of experience as a Data Engineer or similar role. Strong expertise with Snowflake (data modeling, performance tuning, optimization). Hands-on experience with AWS Glue (ETL/ELT pipeline development). Proficiency in SQL and at least one programming language (Python preferred). Solid understanding of data integration from multiple sources (ERP, CRM, APIs, flat files, etc.). Experience troubleshooting and maintaining production pipelines. Nice-to-Have Skills: Familiarity with Tableau, Qlik Sense, or Power BI. Exposure to Microsoft SQL Server and cross-cloud data flows (e.g., GCP-hosted systems). Knowledge of AWS ecosystem (S3, Lambda, Step Functions, IAM). Previous work with IoT or web/mobile analytics data. Working Setup: Flexible working hours aligned with European time zones. No DevOps responsibilities (dedicated infra team in place). Support coverage: Must respond promptly to production issues as needed. ,[] Requirements: SnowFlake, SQL, ETL, AWS, Python Additionally: Flexible working hours and remote work possibility, Mentoring program, English lessons, active tech community, referral program.

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