At a Glance
- Tasks: Design and build modern data platforms to solve real problems for pharmaceutical organisations.
- Company: Join Lumora Analytics, a growing consultancy transforming pharmaceutical data and analytics.
- Benefits: Competitive salary, opportunity to influence product development, and work on meaningful projects.
- Other info: Show us your projects; we value real examples over qualifications.
- Why this job: Make a real impact with cutting-edge technologies in a dynamic environment.
- Qualifications: Curiosity-driven problem solver with experience in SQL, Power BI, or data warehousing.
The predicted salary is between 40000 - 60000 £ per year.
Lumora Analytics helps pharmaceutical organisations modernise the way they work through enterprise data platforms, business intelligence and intelligent automation.
We design and build scalable automated data solutions that replace manual reporting with decision-ready systems, enabling commercial teams to spend less time searching for information and more time making better decisions.
We’re a growing consultancy with ambitious plans, and we’re looking for someone who wants to help shape the future of pharmaceutical data and analytics.
The Role
This isn’t a traditional Data Engineer role.
You’ll be solving real commercial problems for pharmaceutical organisations by designing and building modern data platforms, developing reporting solutions and helping organisations transform how they use data.
One day you might be integrating multiple commercial datasets into a central data warehouse.
The next you could be building automated reporting pipelines, optimising Power BI semantic models or experimenting with the latest technologies to improve how organisations make decisions.
- What You’ll Be Working On
- Designing and developing enterprise data platforms and data warehouses
- Building scalable ETL/ELT pipelines from multiple data sources.
- Developing Power BI semantic models and reporting solutions
- Automating manual reporting and business processes.
- Integrating APIs, cloud platforms and third-party data sources.
- Optimising data models for performance, scalability and usability.
- Supporting the delivery of analytics solutions for pharmaceutical commercial teams.
- Exploring new technologies and identifying opportunities to improve the way we work.
- You’ll probably be a great fit if you
- Love solving complex problems.
- Build projects because you’re curious, not because someone asked you to.
- Take ownership and enjoy figuring things out.
- Are constantly learning and adapting to new technologies.
- Can communicate technical concepts clearly.
- Most importantly…
We want to see what you’ve built.
Whether it’s a personal project, freelance work, open-source contribution or commercial implementation, we’d much rather see real examples than read another list of qualifications.
Technical Experience
Experience with some of the following would be beneficial
- SQL
- Power BI
- Power Automate
- Data warehousing
- Microsoft Fabric
- Databricks
Don’t worry if you don’t have experience with everything on this list.
If you’re capable of learning quickly and solving problems, we’d still love to hear from you.
Salary range £40,000 - £60,000 dependant on experience.
Why Join Lumora?
You’ll be joining at the beginning of an exciting journey.
You’ll have the opportunity to influence how we build our products, shape our technical standards and work directly with pharmaceutical organisations on meaningful projects.
No bureaucracy.
No unnecessary layers.
Just interesting problems, modern technologies and the opportunity to build solutions that make a real impact.
#J-18808-Ljbffr
Data Engineer employer: Lumora Analytics
At Lumora Analytics, we pride ourselves on being an innovative consultancy that empowers our employees to tackle real-world challenges in the pharmaceutical sector. Our collaborative work culture fosters creativity and continuous learning, allowing you to influence product development and technical standards while working with cutting-edge technologies. Join us to be part of a dynamic team where your contributions directly impact how organisations leverage data for better decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lumora Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Lumora Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lumora Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Lumora Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lumora Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lumora Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lumora Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lumora Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
