Platform Engineer: Scalable Analytics & AI Tools

Barlowe LLP; Greater London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Competitive compensation plus bonus

Lunch provided

35 days’ annual leave

9% company pension contributions

Comprehensive healthcare

Cycle-to-work scheme

Job summary

Barlowe LLP is seeking an engineer to build and operate distributed analytics platforms in London. The role involves using technologies such as Spark, Kafka, and AWS to power research and trading teams.

The ideal candidate will have strong experience with data analytics systems, automation skills in Python, and a deep understanding of AWS technologies. Benefits include competitive compensation, a 9% pension contribution, and excellent work/life balance.

Qualifications

• Experience running distributed data and analytics systems at scale.
• Proficient in Python for automation and integration.
• Strong Linux skills required.

Responsibilities

• Building and operating distributed analytics platforms.
• Designing new platform features for usability and scalability.
• Collaborating with teams to enhance analytics solutions.
• Driving improvements in automation and resilience.

Skills

Distributed data and analytics systems

Linux skills

Python for automation

Infrastructure as code (Terraform, Ansible)

AWS technologies (EMR, MSK, Athena)

CI/CD and observability tools (Jenkins, Prometheus)

Job description

Barlowe LLP is seeking an engineer to build and operate distributed analytics platforms in London. The role involves using technologies such as Spark, Kafka, and AWS to power research and trading teams.

The ideal candidate will have strong experience with data analytics systems, automation skills in Python, and a deep understanding of AWS technologies. Benefits include competitive compensation, a 9% pension contribution, and excellent work/life balance.