Senior Data Engineer

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.