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Senior Data Infrastructure Engineer

2 months ago

Gloucester, Gloucestershire, United Kingdom Methods Full time

About Methods Analytics

Methods Analytics is a data-driven organization dedicated to improving society by empowering individuals to make informed decisions. We achieve this through comprehensive data services, leveraging sector-specific expertise, technical excellence, and a user-centric approach.

We tackle complex challenges by embracing innovation and technical freedom to design optimal solutions. Ethics, privacy, and quality are at the core of our work, ensuring responsible data usage for its intended purpose. Our team is driven, positive, and dedicated to delivering high-quality products for our clients.

About the Role: Senior Data Infrastructure Engineer

We are seeking a skilled Senior Data Infrastructure Engineer to join our team. In this role, you will play a vital part in building and maintaining the robust data infrastructure that powers our organization. Your expertise will be instrumental in ensuring seamless data integration and fostering a data-driven culture.

Key Responsibilities

  • Design, develop, and manage efficient data pipelines to ensure smooth data flow throughout the organization.
  • Implement hybrid cloud and data storage solutions that meet our evolving needs for scalability and security.
  • Leverage containerization and orchestration technologies to streamline application deployment and management.
  • Automate workflows using tools like Apache Airflow to enhance efficiency and reduce manual intervention.
  • Gain experience with event streaming technologies such as Kafka to handle real-time data processing.
  • Implement robust security measures and ensure compliance with industry best practices to protect sensitive data.
  • Optimize database management in PostgreSQL to ensure optimal performance and data integrity.

Requirements

  • Strong Python programming skills are essential for developing and maintaining data pipelines.
  • Experience with ETL/ELT processes is crucial for extracting, transforming, and loading data effectively.
  • A deep understanding of hybrid cloud data architecture is required to design and implement scalable solutions.
  • Proficiency in containerization and orchestration technologies is essential for modernizing infrastructure.
  • Familiarity with workflow automation tools like Apache Airflow is highly desirable.
  • Experience with event streaming technologies and data security best practices is a plus.