At a Glance
- Tasks: Design and build modern data platforms while developing reporting solutions for pharma clients.
- Company: Lumora Analytics, a fast-growing consultancy in London.
- Benefits: Gain exposure to cutting-edge tech like Power BI and Databricks.
- Other info: Dynamic environment with opportunities for professional growth.
- Why this job: Transform how pharmaceutical clients use data and solve complex problems.
- Qualifications: Experience in data engineering and a passion for technology.
The predicted salary is between 60000 - 80000 £ per year.
Lumora Analytics in London is seeking a data engineer to design and build modern data platforms, develop reporting solutions and help pharmaceutical clients transform how they use data. You’ll work on integrating multiple data sources, building ETL/ELT pipelines and optimising data models.
If you enjoy solving complex problems and building with the latest tech, you’ll fit well. You’ll gain exposure to Power BI, Databricks and cloud platforms in a fast-growing consultancy.
#J-18808-LjbffrPharma Data Platform Engineer: Build Automated Insights 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 Pharma Data Platform Engineer: Build Automated Insights
✨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 Pharma Data Platform Engineer: Build Automated Insights 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 Pharma Data Platform Engineer: Build Automated Insights 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!
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.
