Senior Data Engineer

Description

About Scytale

Scytale is a global leader, an AI‑powered company transforming how organizations achieve and maintain trust and compliance. Our platform automates frameworks SOC 2, ISO 27001, SOX ITGC, GDPR, PCI DSS, and 60+ more frameworks, making compliance smarter, faster, and continuously audit‑ready. Built for startups, scale‑ups, and enterprises, Scytale combines intelligent automation, real‑time monitoring, and AI‑driven insights to reduce manual work and eliminate compliance blind spots.

Recognized as a G2 Leader in GRC and an AWS Rising Star Partner of the Year, Scytale is trusted by hundreds of companies worldwide and known for its technology and partnership‑driven approach.

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.

• 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 (Git Hub, Git Lab, 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

• 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

• 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

• 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!