Senior Data Engineer (with Backend Experience)

CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. They create proofs-of-concept, help clients build new products, nurture existing ones and provide services in production environments. Their clients include tech startups and large companies across the US, Japan, Israel, and Europe. The company has over 250 employees and has been operating since 2011.

• Strong experience with Snowflake and dbt.
• Advanced SQL skills (including query optimization).
• Experience with Apache Airflow (or similar orchestration tools).
• Experience with Docker, Kubernetes, and CI/CD practices.
• Experience as a Backend/Software Engineer (APIs, services).
• Strong Python skills.
• Ability to write clean, scalable, and testable code (including unit tests).
• Solid understanding and applying object-oriented programming (OOP).
• Experience with version control systems: Git.
• Experience with AWS or Azure.
• Good knowledge of English (minimum C1 level).

Nice to have:

• Experience with Apache Spark (preferably Databricks).
• Experience with Azure AI Search or AWS OpenSearch.
• Experience designing ETL/ELT pipelines.
• Familiarity with LLMs, Azure OpenAI, or agentic AI systems.

• This is a hybrid role combining Data Engineering and Backend Engineering, with a stronger focus on the data layer.
• Build and maintain scalable ETL/data pipelines (Python, SQL, dbt, Snowflake, Airflow).
• Design and optimize data models, transformations and workflows.
• Ensure data quality, consistency, and performance.
• Integrate multiple data sources into a unified dataset.
• Contribute to backend development (APIs, data access layer, backend-frontend contracts).
• Support platform integrations and cloud-based solutions.
• Write clean, testable code and participate in code reviews.
• Document data processes and system architecture.