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- Tasks: Design and maintain scalable ETL pipelines while delivering data-driven insights.
- Company: Join a trusted tech organisation in the healthcare sector.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by transforming data into actionable insights.
- Qualifications: Experience with Databricks, Power BI, Python, and T-SQL required.
- Other info: Exciting opportunity for career advancement in a supportive team environment.
The predicted salary is between 42000 - 60000 £ per year.
Exeter (Hybrid – 2 Days Per Week Onsite) £50,000 per annum
We’re partnering with an organisation whose technology is trusted across hospitals, GP practices, pharmacies, and wider healthcare systems across the UK. They are now looking to appoint a Data Engineer to join their growing data team in Exeter.
Key Responsibilities:- Designing and maintaining scalable ETL pipelines
- Working with Databricks and Power BI to deliver data-driven insights
- Writing efficient, high-quality code in Python and T-SQL
- Supporting data transformation and reporting across healthcare systems
- Databricks
- Power BI
- Python
- T-SQL
- Strong ETL experience
- Azure or AWS
- PowerShell
- Data Lakes
- Zoho Creator / Zoho Analytics
This is a fantastic opportunity for a Data Engineer seeking a hybrid role within a well-established organisation operating in the healthcare sector. If you’re interested in learning more, apply now or get in touch for a confidential conversation.
Data Engineer in Exeter employer: Roc Search
Contact Detail:
Roc Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Exeter
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare tech space, especially those working with Databricks and Power BI. A friendly chat can open doors you didn’t even know existed.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and any projects using Python or T-SQL. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. Think about how you’d tackle real-world problems in healthcare data systems. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you who are eager to make an impact in healthcare.
We think you need these skills to ace Data Engineer in Exeter
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Power BI, and ETL processes. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and T-SQL expertise!
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 mission in the healthcare sector. Keep it concise but impactful!
Showcase Relevant Projects: If you've worked on any projects that involved data transformation or reporting, make sure to mention them. We love seeing real-world applications of your skills, especially if they relate to healthcare systems.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Roc Search
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Power BI, Python, and T-SQL. Brush up on your ETL processes and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems related to data engineering. Think about how you would design scalable ETL pipelines or transform data for reporting. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Showcase Your Code Quality
Be prepared to discuss your coding practices. Bring examples of your work, especially any Python or T-SQL code you’ve written. Highlight how you ensure your code is efficient and maintainable, as this is crucial for a Data Engineer role.
✨Understand the Healthcare Context
Since the role is within the healthcare sector, it’s beneficial to have a grasp of how data impacts healthcare systems. Familiarise yourself with common challenges in healthcare data management and be ready to discuss how your skills can help address these issues.