Senior Data Engineer

2 weeks ago

Tel Aviv, Tel Aviv, Israel Scytale Full time ₪120,000 - ₪180,000 per year

Description
About Scytale
Scytale is a fast-growing B2B SaaS startup transforming cybersecurity compliance for businesses worldwide. Our innovative Compliance-as-a-Service platform simplifies frameworks like SOC 2, ISO 27001, HIPAA, GDPR, and PCI DSS for startups, scale-ups, and enterprises. Recognized as a leader in Governance, Risk & Compliance on G2 , our customers rave about our platform and service.

Headquartered in Tel Aviv, we offer a collaborative, growth-oriented environment with a hybrid work model, competitive compensation, and benefits that prioritize your professional and personal well-being.

Role Overview
We are seeking a Senior Data Engineer to join our growing engineering team. This is a key role for a motivated and technically skilled individual with a solid foundation in software engineering and data systems. You will work on building scalable data infrastructure, implementing robust data integrations, and collaborating with cross-functional teams to solve real-world data challenges.

Requirements

  • 7+ years of professional experience as a Data Engineer or in a similar role developing data ETL pipelines.
  • Advanced proficiency in Python for backend development and scripting
  • Strong SQL skills with hands-on experience in querying and modeling relational databases
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Hands-on with containerization technologies like Docker or Kubernetes
  • Solid understanding of RESTful APIs
  • Experience with version control systems (GitHub, GitLab, Bitbucket) and CI/CD workflows
  • Strong grasp of software development lifecycle (SDLC) and principles of clean, maintainable code
  • Demonstrated ability to work independently, own projects end-to-end, and mentor junior engineers
  • Familiarity with AI concepts and prompt engineering is a plus

Nice To Have

  • Experience with data security, privacy compliance, and access controls
  • Knowledge of infrastructure-as-code tools (e.g., Terraform, Helm)
  • Background in event-driven architecture or stream processing

Responsibilities

  • Design, develop, test, and maintain reliable data pipelines and ETL processes using Python and SQL
  • Build and manage API-based data ingestion workflows and real-time data integrations
  • Apply software engineering best practices: modular design, testing, version control, and documentation
  • Own and optimize data workflows and automation, ensuring efficiency and scalability
  • Collaborate closely with senior engineers, data scientists, and stakeholders to translate business needs into technical solutions
  • Maintain and enhance data reliability, observability, and error handling in production systems
  • Develop and support internal data-driven tools
  • Implement data operations best practices, including automated monitoring, alerting, and incident response for pipeline health
  • Work with data-devops principles: CI/CD for data workflows, infrastructure-as-code, and containerized ETL deployments

Benefits
Why Join Scytale?

  • Innovative Work: Be part of a cutting-edge product shaping the future of security and compliance.
  • Learning & Growth: Access courses, conferences, and mentorship to grow your career.
  • Hybrid Work Model: Enjoy the flexibility of hybrid working.
  • Collaborative Culture: Work with inspiring colleagues in a supportive environment.
  • Relaxation & Fun: Take breaks in our relaxation room or join our team events, happy hours, and holiday celebrations.
  • Family First: Personal and family priorities always come first.

Ready to innovate and grow with us? Join Scytale and help transform cybersecurity compliance for companies worldwide

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