Job Description - Senior Data Engineer
Our client 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 45+ more frameworks, making compliance smarter, faster, and continuously audit-ready.
Built for startups, scale-ups, and enterprises, our client 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, they are trusted by hundreds of companies worldwide and known for their technology and partnership-driven approach.
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
What You Bring
- 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
What You'll Do
- 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
- 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.