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- Tasks: Design and maintain data pipelines for seamless data flow in a remote role.
- Company: Join Pharmalex, a leader in healthcare data analytics with a collaborative team.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in healthcare by optimising data quality and reliability.
- Qualifications: Bachelor’s degree in a related field and experience in data engineering preferred.
- Other info: Work in a dynamic environment with a focus on creativity and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Pharmalex is looking for a Data Engineer to join their growing team. This will be a remote-based role but there is a requirement to travel to Lutterworth one day of the month.
Your role involves designing, building, and maintaining data pipelines, ensuring seamless data flow into a central Microsoft Azure repository and hosted MS SQL database. Collaborate with Data Analysts and Scientists to optimise data quality, reliability, security, and automation.
Skills & Responsibilities:- Core responsibility will be using the NHS Secure Data Environment which utilises databricks, to design and extract regular datasets.
- Configure and troubleshoot Microsoft Azure, manage data ingestion using LogicApps and Data Factory.
- Develop ETL scripts using MS SQL, Python, handle web scraping, APIs, and relational databases.
- Familiarity with Power BI (you will not have to use Power BI, but being aware of how to collaborate with people that do is important).
- Work closely with data analysts and scientists, contribute to data models and testing of outputs.
Bachelor’s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience.
WORK EXPERIENCE:Experience of directly-related or relevant experience, preferably in healthcare data analytics or data engineering.
SKILLS & KNOWLEDGE:- Behavioral Skills: Creativity & Innovation, Critical Thinking, Impact and Influencing, Prioritization and Organization.
- Technical Skills: Data Quality Assurance.
Employment type: Full-time
Job function: Pharmaceutical Manufacturing
Data Engineer employer: PharmaLex
Contact Detail:
PharmaLex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Pharmalex on LinkedIn or other platforms. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with Azure and SQL, make sure we can confidently discuss our experience with these tools and how we've tackled data challenges in the past.
✨Tip Number 3
Showcase our problem-solving skills! During interviews, be ready to share specific examples of how we've optimised data processes or improved data quality. This will demonstrate our critical thinking and creativity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in joining the Pharmalex team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role at Pharmalex. Highlight your experience with data pipelines, Microsoft Azure, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention your familiarity with NHS Secure Data Environment and any collaborative experiences you've had.
Showcase Relevant Experience: When filling out your application, focus on showcasing your experience in healthcare data analytics or data engineering. We love seeing real-world examples of how you've tackled challenges and improved data quality in previous roles.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at PharmaLex
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, especially Microsoft Azure, Databricks, and MS SQL. Brush up on your ETL processes and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Collaboration Skills
Since you'll be working closely with Data Analysts and Scientists, prepare examples of how you've successfully collaborated in the past. Highlight any experiences where you contributed to data models or testing outputs, as this will show you can work well in a team.
✨Prepare for Problem-Solving Questions
Expect questions that assess your critical thinking and troubleshooting skills. Think of scenarios where you had to configure or troubleshoot data ingestion issues, and be ready to explain your thought process and the solutions you implemented.
✨Understand the Healthcare Context
Given the focus on healthcare data analytics, it’s beneficial to have a grasp of the specific challenges and regulations in this field. Research common data quality issues in healthcare and be prepared to discuss how you would address them.
