Summary: The Senior Data DevOps Engineer role involves working within an asset management client in London, focusing on AWS and Python technologies. The position requires expertise in DevOps practices and collaboration with data engineering teams to implement automated processes. The ideal candidate will have a strong background in cloud solutions and modern data technologies. This role offers a flexible working from home policy and is expected to last between 12 to 24 months.

Key Responsibilities:

• Collaborate with data engineering teams to deliver solutions in an Agile environment.
• Implement and manage CI/CD pipelines using DevOps tools.
• Work with AWS cloud services and modern data technologies.
• Support the setup of automated processes for data engineers.
• Engage in lower-level engineering and tweaks with open-source Kubernetes.
• Utilize Python and other specified technologies (Kafka, Airflow, Spark, etc.) in project work.

Key Skills:

• Experience as a Senior DevOps Engineer/SRE/Python Developer.
• Strong knowledge of AWS cloud services.
• Advanced skills in CI/CD DevOps tools.
• Proficiency in Python programming.
• Experience with Kubernetes and data engineering technologies.
• Familiarity with technologies such as Kafka, Airflow, Spark, PySpark, Dremio, DBT, Iceberg, Arrow, Glue, and Athena.
• Agile methodology experience.

Salary (Rate): £900

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: Senior

Industry: IT