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DevOps Engineer

The Future Project Ltd

Greater London

Remote

GBP 70,000

Full time

Today
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Job summary

A global organization based in London is seeking a Data Platform & Operations Engineer. This role focuses on maintaining and optimizing cloud-based data platforms, implementing automation, and ensuring performance and reliability. Ideal for those passionate about data infrastructure and looking for growth opportunities.

Qualifications

  • Hands-on experience managing data platforms in cloud environments.
  • Strong experience with dbt, Snowflake, and Python.

Responsibilities

  • Maintain and enhance the reliability and performance of cloud-based data platforms.
  • Implement automation for infrastructure provisioning and monitoring.

Skills

Automation
Collaboration
Adaptability

Tools

AWS
Azure
GCP
dbt
Snowflake
Python
Terraform
CloudFormation
Prometheus
Grafana
Splunk

Job description

The Future Project Ltd provided pay range

This range is provided by The Future Project Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from The Future Project Ltd

Boutique Infrastructure Recruitment Specialists. Clients stay with us for 5 years on average because we can deliver 3-5 quality candidates in just 2…

£70,000 per annum

Remote

About the Role

Passionate about maintaining and optimizing cloud-based data platforms? Do you thrive in an environment where automation, performance tuning, and reliability are key? If so, my client wants you! The client is a global organization based out of London with around 6,000 users, offering plenty of opportunities for growth, development, and a great working environment.

Role Overview

My client is looking for a Data Platform & Operations Engineer to ensure the stability, performance, and continuous improvement of their enterprise data platforms. Working with the Data Platform & Operations Manager, you will manage cloud-based data infrastructure, implement automation, and optimize performance to support a scalable and resilient data ecosystem.

Key Responsibilities

  • Maintain and enhance the reliability and performance of cloud-based data platforms.
  • Implement automation for infrastructure provisioning, monitoring, and incident response.
  • Collaborate with data engineering teams to optimize data pipelines and platform performance.
  • Ensure robust observability through logging, alerting, and monitoring solutions.
  • Manage access controls, security configurations, and compliance within the data platform.
  • Analyze system metrics to drive platform improvements and implement optimizations.
  • Stay up to date with emerging technologies and standard methodologies to enhance our data stack.

Qualifications

  • Hands-on experience managing and optimizing data platforms in cloud environments (AWS, Azure, or GCP).
  • Strong experience with dbt, Snowflake, and Python.
  • Ability to quickly learn and adapt to new technologies.
  • Expertise in Infrastructure-as-Code (Terraform, CloudFormation) and CI/CD standard processes.
  • Familiarity with monitoring and observability tools (Prometheus, Grafana, Splunk, etc.).
  • Knowledge of database performance tuning and data pipeline optimization.
  • Ability to collaborate multi-functionally.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting
  • Data Infrastructure and Analytics

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