🛠 Tech Stack

💼 About This Role

You'll lead end-to-end delivery of scalable data platforms while building a Data & AI practice for a global consultancy. You'll work from discovery to delivery, solving complex client challenges with modern cloud data solutions.

🎯 What You'll Do

• Lead end-to-end delivery of scalable data platforms
• Design and implement robust data architectures using Snowflake, AWS, Azure, or Databricks
• Provide hands-on technical leadership and set standards for delivery teams
• Build, optimise, and maintain data pipelines, models, and storage layers

📋 Requirements

• Bachelor's degree in Computer Science or related field
• Strong hands-on experience with Snowflake in production environments
• Advanced data modelling, performance optimisation, and security within Snowflake
• Proven experience delivering cloud-based data warehousing solutions

✨ Nice to Have

• Relevant Data Engineering certifications (Snowflake, Azure, Databricks)
• Experience building ETL/ELT pipelines with Airflow, dbt, or similar tools

🎁 Benefits & Perks

• 💰 Market-leading salary
• 🎓 Training and conferences for ongoing development
• 🏖️ 4-day week option for work-life balance
• 🌍 Hybrid working with flexible arrangements

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Client Presentation· 60 min