Analytics Engineer - Data Platform & Governance (Hybrid)

Analytics Engineer - Data Platform & Governance (Hybrid)

Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
Chemist4U

At a Glance

  • Tasks: Shape and enhance our data platform, focusing on data modelling and governance.
  • Company: Join Chemist4U, a leading online pharmacy transforming healthcare in the UK.
  • Benefits: Enjoy competitive salary, 30 days leave, gym discounts, and health benefits.
  • Other info: Flexible hybrid working and a supportive, inclusive team culture.
  • Why this job: Make a real impact on patient lives while advancing your career in data analytics.
  • Qualifications: Experience with dbt, SQL, and cloud data warehouses is essential.

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.

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 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. You can email careers@chemist4u.com

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 - Data Platform & Governance (Hybrid) employer: Chemist4U

At Chemist4U, we pride ourselves on being a forward-thinking employer that values collaboration, integrity, and growth. Our hybrid work model allows for flexibility while you contribute to transforming healthcare through innovative data solutions. With competitive benefits including enhanced leave, funded training, and a commitment to employee well-being, you'll find a supportive environment that empowers you to thrive both personally and professionally.

Chemist4U

Contact Details:

Chemist4U Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Engineer - Data Platform & Governance (Hybrid)

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 dbt knowledge. Be ready to discuss how you've tackled data challenges in the past. Show them you're not just a tech whiz, but also someone who can collaborate effectively with teams.

Tip Number 3

Don’t forget to showcase your passion for healthcare and technology during interviews. Chemist4U is all about making a difference, so share why you want to be part of that mission. Your enthusiasm can really set you apart!

Tip Number 4

Apply through our website for a smoother process! It shows you're genuinely interested in the role and makes it easier for us to track your application. Plus, you'll get updates directly from the source!

We think you need these skills to ace Analytics Engineer - Data Platform & Governance (Hybrid)

Data Modelling
DBT Cloud
Snowflake Data Warehouse
SQL
Data Quality Assurance
GDPR Compliance
Performance Optimisation

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, Snowflake, and SQL, and show how your skills align with our mission to simplify healthcare.

Showcase Your Collaboration Skills:Since we value teamwork, share examples of how you've worked with others in past projects. Whether it’s collaborating with data engineers or engaging with non-technical stakeholders, let us see your collaborative spirit!

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We want to understand your experience and skills without having to decode complex terms.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for 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 before the interview. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.

Showcase Your Problem-Solving Skills

Prepare examples of complex data problems you've solved. Think about specific situations where your analytical skills made a difference, especially in relation to data quality and governance. This will demonstrate your proactive approach and ability to drive improvements.

Understand Their Mission and Values

Familiarise yourself with Chemist4U's mission to transform healthcare. Be prepared to discuss how your values align with theirs, particularly around collaboration, integrity, and customer centricity. This shows that you're not just a fit for the role, but also for the company culture.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, ongoing projects, and how they measure success in the Analytics Engineer role. This not only shows your interest in the position but also helps you gauge if the company is the right fit for you.