Senior Data Engineer with Terraform skills

Responsibilities

• ▹Design and implement scalable, intuitive features across the platform
• ▹Build and maintain high-performance data pipelines
• ▹Collaborate closely with Data Scientists, Engineers, and Product Managers to deliver impactful solutions
• ▹Operate and enhance data infrastructure, ensuring seamless data movement across platforms
• ▹Support the evaluation and integration of tools that empower engineering and data science teams

Requirements

• ▹5+ years of experience in software development or data engineering in cloud-based environments
• ▹Strong programming skills in Python, with a solid grasp of OOP principles
• ▹Very good grasp of Infrastructure-as-Code (IaC) and Terraform
• ▹Proficiency in data transformation and processing tools (e.g. PySpark, dbt)
• ▹Experience designing scalable and robust data platforms
• ▹Familiarity with data modeling techniques (e.g., star schema, data vault)
• ▹Experience with distributed data systems and database optimization
• ▹Comfortable working with NoSQL data stores and SQL Server
• ▹Experience in ETL processes and orchestration tools like Apache Airflow
• ▹Excellent communication skills in English

Nice to have

• ▹C# programming experience

Soft skills

What we offer

• ▹Flexible remote and hybrid working options
• ▹Competitive salary with a variable component tied to personal and company performance
• ▹Multiple learning and development opportunities, including Focus Fridays
• ▹Generous PTO and paid holidays
• ▹Mental health benefits
• ▹2 MAD Days per year (paid volunteering)

About the company

Shift delivers AI agents that transform insurers' most critical work, combining deep industry expertise and unmatched data resources; the team spans more than 50 countries and cultures, together building the future of insurance through a SaaS platform.