Senior Data Engineer

Contentful is an intelligent composable content platform that unlocks digital content to deliver impactful customer experiences, making content a strategic business asset.
Data
Senior Software Engineer
Hybrid
501 - 1,000 Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Engineer

We are searching for a highly-skilled Senior Data Engineer (f/m/d) to join our Data Group at Contentful. In this role, you'll be a critical player in building and optimizing the data pipelines that power our platform. You'll work on designing scalable, reliable data solutions that support our internal teams and customers, enabling efficient data processing, usage tracking, and reporting.

Key responsibilities include:

  • Designing, developing, and maintaining scalable data pipelines using Airflow, Python, and dbt to support data processing.
  • Driving the architecture and development of a new Data Platform, ensuring scalability and adaptability for future needs.
  • Building a high-performance platform for usage tracking, billing, and internal/external reporting.
  • Continuously improving pipeline performance, troubleshooting issues, and implementing monitoring to maintain platform reliability.
  • Collaborating closely with DevOps, Software Engineering, and Data teams to ensure seamless integration across the platform.
  • Mentoring team members and driving best practices in data engineering.

Requirements:

  • 5+ years of experience as a Data Engineer, focusing on designing and maintaining scalable data pipelines.
  • Proficiency in Python for building data pipelines, with hands-on experience using Airflow or other data orchestration tools.
  • Strong experience with AWS services (e.g., S3, Redshift, Lambda, Glue) for building cloud-native data solutions.
  • Experience with ETL/ELT processes and designing complex data flows.
  • Familiarity with dbt for transforming data in the warehouse is highly desirable.
  • Proficiency in Infrastructure as Code (Terraform) and CI/CD tools for automated deployments.
  • Knowledge of containerization and orchestration tools like Kubernetes, Docker, and Helm.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize data pipelines in a cloud environment.

Contentful powers innovative content experiences for organizations worldwide, including nearly 30% of the Fortune 500. With nearly 800 people from more than 70 nations, we offer a diverse and inclusive work environment. Join us in reshaping the way people build digital experiences!

Last updated 14 days ago

Responsibilities For Senior Data Engineer

  • Design, develop, and maintain scalable data pipelines
  • Drive architecture and development of a new Data Platform
  • Build a high-performance platform for usage tracking and reporting
  • Optimize pipeline performance and implement monitoring
  • Collaborate with DevOps, Software Engineering, and Data teams
  • Mentor team members and drive best practices

Requirements For Senior Data Engineer

Python
Kubernetes
  • 5+ years of experience as a Data Engineer
  • Proficiency in Python for building data pipelines
  • Experience with Airflow or other data orchestration tools
  • Strong experience with AWS services
  • Experience with ETL/ELT processes
  • Familiarity with dbt
  • Proficiency in Infrastructure as Code (Terraform)
  • Knowledge of Kubernetes, Docker, and Helm
  • Strong problem-solving skills

Benefits For Senior Data Engineer

Equity
Parental Leave
Education Budget
  • Stock Options
  • Fertility and family-building benefits
  • Generous paid time off
  • Personal annual education budget
  • Virtual and in-person events
  • Annual wellbeing stipend
  • Monthly communication stipend
  • Phone hardware upgrade reimbursement
  • New hire office equipment stipend

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