At a Glance
- Tasks: Design and enhance analytics solutions while optimising SQL queries and leveraging AI tools.
- Company: Join a global analytics team in a dynamic tech environment.
- Benefits: Competitive daily rate, flexible hybrid working, and opportunities for professional growth.
- Other info: Collaborate with global teams and enjoy a hands-on role in data analytics.
- Why this job: Tackle complex data challenges and make a real impact with cutting-edge technologies.
- Qualifications: Strong SQL skills and experience with AI-assisted development tools required.
Requirements
- We are looking for strong commercial experience in Data Analytics, Analytics Engineering, or Data Engineering.
- We require advanced SQL skills with the ability to write, optimise, and troubleshoot complex queries.
- We need experience working with enterprise-scale data platforms and analytics environments.
- We value strong problem-solving skills and the ability to work autonomously.
- We require experience using AI-assisted development tools such as Git Hub Copilot, Cursor, Claude Code, Chat GPT, or similar technologies.
- We need proven ability to validate, test, and improve AI-generated code and recommendations.
- We require excellent stakeholder communication and collaboration skills.
- Desirable experience includes Python programming.
- Desirable experience includes Databricks.
- Desirable experience includes platforms such as Snowflake, Hadoop, Microsoft SQL Server, or similar enterprise data technologies.
- Desirable experience includes exposure to data architecture, infrastructure optimisation, and performance tuning.
- Desirable experience includes the Microsoft ecosystem, including Teams, Outlook, and Share Point integrations.
- Desirable experience includes understanding of regression testing and AI-assisted development best practices.
Responsibilities
- We design, develop, and enhance analytics and reporting solutions across a large-scale data environment.
- We deliver incremental improvements to existing datasets, reports, dashboards, and data workflows.
- We investigate data issues, performance bottlenecks, and process inefficiencies.
- We work closely with senior engineers to troubleshoot, prioritise, and resolve technical challenges.
- We optimise SQL queries and data processes to improve performance, scalability, and reliability.
- We leverage AI-assisted development tools to accelerate coding, testing, documentation, and analysis activities.
- We validate and challenge AI-generated outputs to ensure technical accuracy and business relevance.
- We assess existing data architecture and propose improvements to performance, maintainability, and cost efficiency.
- We collaborate with stakeholders across global teams to gather requirements and deliver effective solutions.
- We provide regular progress updates and manage workload independently within a flexible hybrid working environment.
Technologies
- AI
- Business Intelligence
- Chat GPT
- Claude Code
- Copilot
- Cursor
- Databricks
- Git Hub
- Hadoop
- Python
- SQL
- Share Point
- Snowflake
More
We are recruiting for an SQL Analytics Engineer role within software, based in London or Reading, on a 12-month contract with a daily rate of £350 to £450 and an ASAP start.
You will join a global analytics team supporting critical post-sales reporting, data insights, and business intelligence initiatives.
This is a hands-on opportunity for a technically strong data professional who enjoys solving complex data challenges, improving reporting capabilities, and using AI-assisted development tools to accelerate delivery while maintaining high standards of quality and accuracy.
We are looking for someone who can enhance existing analytics solutions, troubleshoot data issues, optimise performance, and identify opportunities to improve the efficiency of the wider data environment.
The role offers flexible hybrid working and collaboration with globally distributed teams.
- last updated 36 week of 2026
- #J-18808-Ljbffr
SQL Analytics Engineer (AI-Enabled, Databricks) in London employer: Salt
As a UX Designer at our global investment management firm in London, you'll be part of a dynamic and innovative team that values creativity and collaboration. We offer a hybrid work environment, competitive salary, and comprehensive benefits, alongside ample opportunities for professional growth in the rapidly evolving field of digital marketing and AI. Join us to shape engaging user experiences while working on cutting-edge projects that blend classic UX design with emerging technologies.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Analytics Engineer (AI-Enabled, Databricks) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Salt before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Salt.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Salt.
We think you need these skills to ace SQL Analytics Engineer (AI-Enabled, Databricks) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Salt, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Salt, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Salt’s attention and show the tangible impact of your work.
How to prepare for a job interview at Salt
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Salt.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Salt.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Salt.
