SQL Analytics Engineer - AI-Driven Data & BI (Hybrid)

Salt; Greater London; Hybrid; GBP 65,000 - 83,000; Full time

Job summary

Salt in London or Reading is seeking an SQL Analytics Engineer for a 12-month contract. You will design and enhance analytics and reporting across a large-scale data environment, delivering improvements to datasets, dashboards, and workflows.

The role expects proactive problem solving and autonomous work in a flexible hybrid setting. Essential: strong commercial Data Analytics/Engineering experience and advanced SQL, plus experience with enterprise platforms.

Qualifications

• Strong commercial experience in Data Analytics, Analytics Engineering, or Data Engineering.
• Advanced SQL skills with the ability to write, optimise, and troubleshoot complex queries.
• Experience with enterprise-scale data platforms and analytics environments.
• Excellent stakeholder communication and collaboration skills.
• Desirable: Python programming, Databricks, Snowflake/Hadoop/MSSQL Server.

Responsibilities

• Design, develop, and enhance analytics and reporting solutions in a large-scale data environment.
• Deliver incremental improvements to datasets, reports, dashboards, and data workflows.
• Investigate data issues, performance bottlenecks, and process inefficiencies.
• Collaborate with senior engineers to troubleshoot and resolve technical challenges.
• Optimise SQL queries and data processes for performance and scalability.
• Leverage AI-assisted tools to accelerate coding, testing, and analysis activities.
• Validate AI-generated outputs for technical accuracy and business relevance.
• Assess data architecture and propose improvements for performance and cost efficiency.
• Collaborate with stakeholders across global teams and manage workload in a hybrid setup.

Skills

SQL mastery

Data analytics

Analytical thinking

Stakeholder communication

Tools

GitHub Copilot

Cursor

Claude Code

ChatGPT

Job description

Salt in London or Reading is seeking an SQL Analytics Engineer for a 12-month contract. You will design and enhance analytics and reporting across a large-scale data environment, delivering improvements to datasets, dashboards, and workflows.

The role expects proactive problem solving and autonomous work in a flexible hybrid setting. Essential: strong commercial Data Analytics/Engineering experience and advanced SQL, plus experience with enterprise platforms.