Lead Data Engineer

Huxley Associates
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Databases
Continuous Integration
Data Systems
DevOps
Python
PostgreSQL
Cloud Services
Standard Sql
Pulumi
Large Language Models
Snowflake
Cloudformation
Build Management
Infrastructure Automation Frameworks
Data Management
Terraform
Data Pipelines
Docker

Job description

You'll play a key role in owning architecture and delivery end-to-end, while balancing hands-on development with technical leadership and mentorship. This is an ideal role for engineers who enjoy building scalable systems and influencing platform direction., * Design and build scalable data pipelines and architectures

  • Develop and support cloud-native data platforms on AWS
  • Contribute to AI/LLM-driven data applications and workflows
  • Collaborate across teams to deliver end-to-end data solutions
  • Drive best practices in DevOps, CI/CD, and infrastructure automation

Requirements

  • Strong experience with Python and SQL
  • Proven track record building scalable data pipelines and systems
  • Hands-on experience with AWS (infrastructure, CI/CD, observability)
  • Experience with AI/LLM-enabled applications
  • Experience with Snowflake or similar data platforms
  • Background in DevOps, Docker, and CI/CD pipelines
  • Solid knowledge of databases (Postgres, Aurora, etc.)
  • Experience with Infrastructure as Code (CloudFormation, Pulumi, Terraform)

Benefits & conditions

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.

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