Senior Data Engineer
3 weeks ago
About the Role
We are seeking a seasoned Senior Data Engineer to join our team at Methods Business and Digital Technology. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments.
Key Responsibilities
- Develop and manage data pipelines using Python, capable of supporting both streaming and batch data processing across structured, semi-structured, and unstructured data in on-premises and Azure environments.
- Implement and manage data storage solutions leveraging both on-premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms.
- Utilise Docker for containerisation and Kubernetes for orchestration, ensuring scalable and efficient deployment of applications across both cloud-based and on-premises environments.
- Employ tools such as Apache Airflow to automate data flows and manage complex workflows within hybrid environments.
- Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms.
- Oversee and enhance Elasticsearch setups for robust data searching and analytics capabilities in mixed infrastructure settings.
- Administer and optimise PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios.
About You
We are looking for a candidate with strong Python skills, experience with ETL/ELT, and expertise in hybrid cloud data architecture. You should have a solid understanding of containerisation and orchestration, proficiency in workflow automation tools, and experience in event streaming. Additionally, you should have a strong background in managing Elasticsearch and PostgreSQL in environments that span on-premises and cloud infrastructures.
What We Offer
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. You will be working with a talented team of data engineers and scientists, and will have the opportunity to work on a wide range of exciting projects.
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