At a Glance
- Tasks: Design and maintain scalable data models using SQL and modern technologies like Snowflake and Looker.
- Company: Join a leading global tech company transforming shopping and eating experiences.
- Benefits: Earn £650/day, work remotely, and gain exposure to cutting-edge data projects.
- Other info: Collaborate with talented professionals and enjoy excellent career growth opportunities.
- Why this job: Make a real impact in a fast-growing, data-driven organisation with innovative technology.
- Qualifications: 6+ years in Analytics Engineering, strong SQL skills, and experience with cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
Contract Analytics Engineer - £650/day Inside IR35 - Immediate Start
Please note - this is a fully remote role. You must have the unrestricted right to work in the UK to be eligible for this role - this organisation is not able to offer sponsorship.
About the Company
We are working with a leading global technology company transforming the way people shop and eat through market-leading technology, data, and a world-class delivery network.
This is an excellent opportunity to join a fast-growing, data-driven organisation where you'll work with modern technologies such as Snowflake and Looker, helping shape how data is modelled, accessed, and used across the business.
The Role
As an Analytics Engineer, you'll play a key role in delivering clean, reliable, and well-modelled datasets that empower data scientists and business users across the organisation.
You'll work with modern data technologies such as Snowflake and Looker to develop and optimise SQL transformations, build scalable data models, and ensure data is well-documented and ready for analytics and reporting.
You'll collaborate closely with product engineering teams, data scientists, and other analytics engineers to shape source data, improve data modelling, and drive the adoption of Looker as a key data product across the business.
Key Responsibilities
- Design, build, and maintain clean, scalable data models and datasets using SQL.
- Develop and optimise SQL-based data transformation and ELT/ETL processes.
- Work with Snowflake and other cloud-based data platforms to support business-critical analytics.
- Collaborate with data scientists, product engineering teams, and analytics engineers to meet downstream data requirements.
- Develop and optimise Looker datasets and dashboards to improve data accessibility and adoption.
- Ensure data quality, reliability, performance, and documentation across analytics datasets.
- Apply data modelling and warehousing best practices to deliver intuitive, denormalised, and aggregated datasets.
- Troubleshoot and optimise existing data pipelines and transformations to improve efficiency and scalability.
- Contribute to the continued development and adoption of Looker as a core data product across the business.
About You
You will be an Analytics Engineer with strong experience in SQL, data modelling, and cloud-based data platforms.
You'll have a solid understanding of data warehousing and ELT/ETL processes, with experience working with technologies such as Snowflake and Looker.
You'll enjoy solving complex data challenges, working closely with data scientists and engineering teams, and building clean, reliable datasets that enable better decision-making across the business.
Key requirements
- 6+ years' experience in Analytics Engineering, BI Engineering, or Data Engineering.
- Excellent hands-on SQL skills with strong data modelling and data warehousing knowledge.
- Proven experience working with cloud-based MPP data warehouses such as Snowflake, Big Query, or Redshift.
- 2+ years' experience with Looker or a similar BI tool.
- Strong understanding of ETL/ELT processes, data transformations, and pipeline dependencies.
- Practical experience with version control and data engineering best practices.
- Python experience, particularly for automation and integrations, is highly desirable.
- Experience with the Looker API and Ads domain would be advantageous.
- What's on Offer
- Day Rate: £650.00 (Inside IR35)
- Remote Role
- Opportunity to work with modern data technologies including Snowflake and Looker
- Exposure to large-scale analytics and data engineering projects
- The opportunity to work with a high-profile, data-driven global organisation
- Work alongside talented data engineers, data scientists, and analytics professionals
- #J-18808-Ljbffr
Analytics Engineer - GBP650/day Inside IR35 - Immediate Start employer: Cyber Security training courses
As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer - GBP650/day Inside IR35 - Immediate Start
✨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 Cyber Security training courses 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.
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✨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 Cyber Security training courses.
We think you need these skills to ace Analytics Engineer - GBP650/day Inside IR35 - Immediate Start
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Cyber Security training courses, 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 Cyber Security training courses, 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 Cyber Security training courses’s attention and show the tangible impact of your work.
How to prepare for a job interview at Cyber Security training courses
✨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 Cyber Security training courses.
✨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 Cyber Security training courses.
✨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 Cyber Security training courses.
