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Data Engineering Tech Lead - AI - Urgent

Cloud Consulting · London, United Kingdom · Hybrid · Senior

  • London, United Kingdom · Hybrid
  • 12 months

Indexed (today) · refreshed constantly

Start
ASAP
Duration
12 months
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
3066665

Required skills

Job description

Project overview

Cloud Consulting have an urgent requirement for an experienced Data Engineering Tech Lead to work on a high-profile project for a leading company.

The role is inside of IR35, and is a hybrid working pattern - 1 day p/week on-site London, and 4 days remote.

Scope of role:

Solution Design & Development

Data Engineering & Optimisation

Additional info:

  • Design, develop and maintain scalable data solutions within Snowflake.
  • Build and optimise enterprise-grade ELT/ETL pipelines supporting business-critical reporting and analytics requirements.
  • Design and implement robust data models, including dimensional, analytical and operational reporting structures.
  • Develop and maintain reusable transformation frameworks using dbt.
  • Develop Python-based data processing, automation and integration solutions.
  • Contribute to architecture decisions and technical design standards.
  • Support platform modernisation and migration initiatives from Legacy technologies to cloud-based platforms.
  • Develop data ingestion and transformation processes from a wide variety of source systems.
  • Optimise Snowflake databases, queries and workloads to improve performance and cost efficiency.
  • Ensure solutions are scalable, maintainable and aligned with enterprise standards.
  • Implement data quality controls and monitoring capabilities.
  • Troubleshoot and resolve complex production and performance-related issues.
  • Shape reusable patterns that improve delivery speed, quality and maintainability
  • Apply strong AWS software or data engineering experience, ideally with Snowflake
  • Have experience of applying AI to accelerate engineering delivery

Project details

  • Start: ASAP
  • Duration: 12 months
  • Remote: hybrid
  • Location: London, United Kingdom, GB

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