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.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
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