At a Glance
- Tasks: Join a dynamic team to enhance data systems in healthcare, focusing on reporting and analysis.
- Company: A health-tech innovator transforming communication in healthcare with a user-friendly SaaS platform.
- Benefits: Enjoy a salary up to £100K, flexible perks, hybrid work, and free meals from an in-house chef.
- Why this job: Make a real impact in healthcare while working in a collaborative and flexible environment.
- Qualifications: Experience in data roles, strong SQL skills, and knowledge of Python and data modelling best practices.
- Other info: Work abroad options and a £600 annual development budget for personal growth.
The predicted salary is between 43200 - 72000 £ per year.
Are you looking for a role where you can implement cutting-edge data systems in a company making a real difference in healthcare? Do you want to be part of a mission-driven team revolutionising how healthcare teams communicate, while working in a hybrid setup that values collaboration and flexibility?
If you’re an Analytics Engineer on the lookout for something new, this could be the perfect role for you.
What’s in it for you?
- You’ll receive a salary of up to £100K, alongside benefits including access to a flexible perks platform where you can choose private health insurance, wellness options, and more.
- You’ll work in a hybrid environment, where you’ll collaborate three days a week in a vibrant Shoreditch office with your team.
- The office offers free healthy breakfasts, lunches, and snacks, prepared by an in-house chef.
- You’ll also benefit from a £600 annual development budget, enhanced parental leave, and even a policy that allows you to work abroad for short periods.
What you’ll be doing
As a Senior Data Engineer, you’ll be joining a Data team consisting of 10, reporting directly to the Head of Data. Your work will include:
- Maintaining the presentation layer of our data warehouse for reporting and analysis, including databases, schemas, views and tables.
- Building well-tested, up-to-date and documented data models that the rest of the company can use to answer their questions.
- Working closely with Data Analysts and BI specialists to understand their reporting needs and provide accurate and comprehensive data models.
- Proactively spotting opportunities to improve the design and performance of their data warehouse presentation layer.
- Supporting long-term data strategy planning, collaborating with the wider company to understand the business needs on accessing and collecting data and propose appropriate solutions, prioritising automation vs manual process.
- Setting standards for building and delivering datasets while promoting and executing data governance practices.
About you
You’ll ideally have the following experience:
- Experience working as part of a data team, preferably in roles such as an Analytics Engineer or Data Engineer.
- Comfortable adopting data engineering best practices, including version control and using Git, and you have experience teaching others how to embrace these best practices.
- You’re an SQL whiz! You know how to write SQL that is easy to understand, simple to troubleshoot, and highly performant.
- You have a solid understanding of data modelling best practices and database design.
- You possess a strong knowledge of modern programming languages, including Python.
- You communicate effectively with stakeholders and are passionate about enabling them to access data.
You’ll thrive in this role if you’re motivated by improving healthcare, adaptable to change, and eager to own your work in a dynamic environment. Whether your background is in startups or larger organisations, your ability to build scalable, robust systems will make an impact.
A bit about the company
This health-tech company is revolutionising communication in the healthcare sector with a user-centric SaaS platform. Widely adopted in primary care, it is expanding into hospitals, pharmacies, and other healthcare environments. By partnering with healthcare professionals, the company is driving meaningful improvements in how care is delivered. Backed by recent funding, they are scaling their product and entering new areas of healthcare.
The interview process
- Initial Chat: Meet with the team for a competency-based interview.
- Technical Assessment Pt 1: Take home Task.
- Technical Assessment Pt 2: Onsite interview day consisting of review, new task and demo.
- Final Stage: Discuss culture and values fit with the senior leadership team (normally pulled into the third stage).
Don’t worry if your CV isn’t up to date—just drop me a message at mitch@zebrapeople.com, and we can take it from there.
Senior Analytics Engineer employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with the company's mission and values. Since they are focused on revolutionising healthcare communication, showing genuine interest in their goals during your interview can set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss specific examples of how you've used it in past projects. They value clear and efficient SQL, so demonstrating your expertise will be crucial.
✨Tip Number 3
Prepare to showcase your experience with data modelling and database design. Think of scenarios where you've improved data systems or processes, as this aligns with their need for someone who can enhance their data warehouse presentation layer.
✨Tip Number 4
During the interview, highlight your adaptability and eagerness to own your work. This role requires someone who thrives in a dynamic environment, so sharing examples of how you've successfully navigated change will resonate well with the team.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as an Analytics Engineer or Data Engineer. Focus on your skills in SQL, data modelling, and programming languages like Python, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for improving healthcare through data. Mention specific projects where you've implemented data systems and how they made a difference.
Showcase Your Technical Skills: In your application, emphasise your familiarity with data engineering best practices, version control, and Git. Provide examples of how you've taught others these practices to demonstrate your leadership potential.
Prepare for the Interview Process: Familiarise yourself with the company's mission and values. Be ready to discuss your technical skills in detail during the assessments and think about how you can contribute to their long-term data strategy.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
As a Senior Analytics Engineer, you'll need to demonstrate your expertise in SQL and data modelling. Be prepared to discuss specific projects where you've implemented these skills, and consider bringing examples of your work to the interview.
✨Understand the Company's Mission
This health-tech company is focused on revolutionising healthcare communication. Familiarise yourself with their products and values, and be ready to explain how your experience aligns with their mission to improve healthcare delivery.
✨Prepare for Technical Assessments
Expect a two-part technical assessment during the interview process. Brush up on your data engineering best practices and be ready to tackle both the take-home task and the onsite demo confidently.
✨Communicate Effectively
Effective communication is key in this role. Practice articulating your thoughts clearly, especially when discussing complex data concepts. Be prepared to explain how you can help stakeholders access and understand data better.