At a Glance
- Tasks: Shape and enhance our data platform, focusing on data modelling and performance optimisation.
- Company: Join Chemist4U, a leading online pharmacy transforming healthcare in the UK.
- Benefits: Enjoy competitive salary, 30 days leave, gym discounts, and funded training.
- Other info: Flexible working environment with great career growth opportunities.
- Why this job: Make a real impact on healthcare while advancing your career in data analytics.
- Qualifications: Experience with dbt, SQL skills, and familiarity with e-commerce datasets required.
The predicted salary is between 40000 - 50000 € per year.
About Chemist4U
Chemist4U is one of the UK’s largest online pharmacies, making medicines, expert advice, and everyday health essentials easier to access than ever. With a fast-growing, innovative team, we deliver trusted pharmacy care straight to our customers’ doors. Join us and be part of a company that’s transforming healthcare and making a real difference every day.
Our purpose: Making medication and care faster, simpler and safer so people stay well for longer.
Our mission: Empower everyone to take control of their health by providing world class technology and pharmacy services.
Our values:
- Collaboration
- Integrity
- Positivity
- Growth
- Customer centricity
We simplify processes and medication management by leveraging cutting-edge technology and empowering our team. Whether through seamless online services or expert support, we ensure reliable and hassle-free healthcare so our customers can focus on their well-being.
About the role
Reporting to: Senior Data Engineer
Job type: Full time, Permanent
Salary: Competitive
Working Pattern & Hours: Monday-Friday, 37.5 hours per week
Location: Hybrid/Flexible (Office located: Lancashire, WN8)
Key Responsibilities
The successful Analytics Engineer will play a key role in shaping and enhancing our data platform, taking ownership of data modelling, governance, and performance optimisation. They will work collaboratively across teams to deliver reliable, well-structured data models, uphold data quality standards, and support the development of scalable and efficient analytics solutions that drive business insights. The key areas of responsibility include the following:
- Data Model Development
- Build and maintain data models in DBT Cloud and Snowflake data warehouse
- Work with Data Engineers to identify and integrate new required data sources
- Support continuous improvement of modelling standards, patterns and documentation.
- Data Quality and Governance
- Implement automated validation, testing, and anomaly detection within DBT.
- Maintain robust lineage and versioning across models
- Create and maintain data dictionaries, naming conventions, and access frameworks
- Support the adoption of a visualisation platform and development of semantic layer
- Work with the Compliance and Security team and Data Engineers to uphold GDPR and healthcare data standards.
- Performance and Cost Optimisation
- Monitor model performance and usage
- Apply best practices in dbt modelling (e.g., incremental updates, DRY development, appropriate uses of stages)
- Help identify inefficient queries and redundant datasets.
- Platform Maintenance and Governance
- Monitor, troubleshoot, and resolve model issues
- Contribute to documentation, runbooks, and knowledge-sharing
- Follow team standards for security, governance, and data lifecycle management.
- Collaboration and Delivery
- Work with the product team and business stakeholders to understand requirements
- Participate in sprint ceremonies, backlog refinement, and estimation
- Contribute to continuous improvement initiatives and automation and development practices.
About You
The successful Analytics Engineer will be a proactive and motivated professional who is eager to advance their career, particularly in tools such as dbt and Snowflake. They will enjoy solving complex data problems, asking insightful questions, and driving improvements in data quality. With strong communication skills, they will collaborate effectively with analysts, engineers, and non-technical stakeholders to deliver impactful and reliable data solutions.
Qualifications & Experience
The successful Analytics Engineer will have experience managing dbt projects within a cloud data warehouse environment and possess strong SQL skills. They will be familiar with e-commerce, marketing, and CRM datasets, along with version control and CI/CD practices. The skills and experience needed to succeed include the following:
- Essential:
- Experience in managing a dbt project deploying to a cloud warehouse
- Advanced SQL skills and exposure to scripting
- Familiarity with e-commerce, marketing, and CRM datasets
- Experience using version control and CI/CD.
- Desirable:
- Exposure to healthcare or other regulated environments
- Experience with GA4 and Google Tag Manager
- Exposure to predictive analytics and Ai.
Company Benefits
Working with an NHS-focused organisation means doing work that truly matters, every day, you’ll help make a real, positive impact on the lives of patients across the UK and Ireland. And that’s just the start. We also offer:
- Discounted gym membership
- Funded training
- Enhanced Maternity & Paternity
- 30 days’ annual leave, including Christmas Day, Boxing Day, and New Year’s Day, with all other bank holidays flexible to take at your convenience
- Health & Wellbeing benefits
- Staff discount
- Sick Pay Scheme
- Blue light card membership is available
- Free seasonal flu vaccination
- Regular social events.
We’d love to hear from you, so please apply as soon as possible. The role is open until 4th June 2026 but may close earlier if we receive a high number of applications.
We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments at any stage, such as support with your application, interview arrangements, or assessment, please let us know, and we will be happy to help.
At Chemist4U (Innox Trading Ltd), we take your privacy seriously. Any personal data you provide during the application process will be used solely for assessing your suitability for the role, communicating with you, and completing necessary recruitment checks. We only share your information with internal hiring teams and trusted third-party partners involved in the recruitment process. Your data will be retained for up to 12 months, unless you ask us to delete it sooner or provide consent for us to keep it on file longer.
Analytics Engineer employer: Chemist4U
At Chemist4U, we pride ourselves on being a leading online pharmacy that not only transforms healthcare but also fosters a collaborative and positive work culture. Our commitment to employee growth is evident through funded training opportunities and a generous benefits package, including enhanced leave and health perks, all within a flexible hybrid working environment in Lancashire. Join us to make a meaningful impact on healthcare while advancing your career in a supportive and innovative team.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Chemist4U on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Analytics Engineer role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and understanding dbt and Snowflake inside out. Be ready to discuss how you've tackled complex data problems in the past. Show us your passion for data and how you can contribute to our mission!
✨Tip Number 3
Don’t just wait for job openings—create your own opportunities! If you see a project or initiative at Chemist4U that excites you, mention it in your conversations. Show us how you can add value even before you officially join the team.
✨Tip Number 4
Apply through our website for a smoother process! It shows you're genuinely interested in joining Chemist4U. Plus, it helps us keep track of your application better. Let’s make this happen together!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Analytics Engineer role. Highlight your experience with dbt and Snowflake, and show how your skills align with our mission to simplify healthcare.
Showcase Your Data Skills:Don’t just list your technical skills; give examples of how you've used SQL and managed dbt projects in real-world scenarios. We want to see how you’ve tackled complex data problems and improved data quality.
Be Personable:While we love a good technical background, we also value strong communication skills. Share how you've collaborated with teams or non-technical stakeholders to deliver impactful data solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you're keen on joining our innovative team!
How to prepare for a job interview at Chemist4U
✨Know Your Data Tools
Make sure you brush up on your knowledge of dbt and Snowflake. Be ready to discuss how you've used these tools in past projects, especially in managing data models and ensuring data quality.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data problems you've solved. Highlight your analytical thinking and how you approached challenges, particularly in e-commerce or healthcare datasets.
✨Understand the Company’s Mission
Familiarise yourself with Chemist4U's mission and values. Be prepared to explain how your skills and experiences align with their goal of transforming healthcare and making a positive impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. This shows your interest in collaboration and helps you gauge if the company culture fits your style.
