At a Glance
- Tasks: Design and maintain seamless data solutions across healthcare systems using Python.
- Company: Join a forward-thinking healthcare tech team dedicated to innovation.
- Benefits: Enjoy a competitive bonus, 25 days holiday, and private healthcare options.
- Other info: Work in a supportive environment with opportunities for travel and professional growth.
- Why this job: Make a real difference in healthcare by ensuring smooth data integration.
- Qualifications: Experience with cloud integration and a solid understanding of SDLC and DevOps.
The predicted salary is between 45000 - 55000 £ per year.
We’re looking for a Data & Integration Engineer to help design, build, and maintain interoperability solutions across our healthcare systems. You’ll be ensuring seamless data exchange between EHR platforms, third-party applications, and internal systems utilising proven healthcare technology stacks and coding in languages like Python.
Key Responsibilities
- Develop and maintain HL7 FHIR and HL7 v2 integrations.
- Configure and manage middleware platforms (e.g. Ensemble, Mirth Connect, Azure Integration Services, or Rhapsody).
- Collaborate with clinical and operational stakeholders to gather requirements and translate them into technical solutions.
- Troubleshoot integration failures and lead root cause analysis.
- Document integration architecture and data flows.
Preferred Skills
- Experience with cloud-based integration (Azure, AWS).
- Good understanding of SDLC, networking, infrastructure, DevOps and Linux environments.
What We Offer
- Bonus - 20% - 10% based on individual performance, 10% based on company performance
- 25 days holiday
- Private healthcare (extendable to family at your cost)
- Pension 5% employee (pre-tax salary) 3% employer
- Hybrid/remote working options
What you can expect when working with us
- Experienced team of healthcare technology focussed individuals
- Supportive and learning environment
- Technical training courses and development
- Occasional business trips to see clients abroad (UK, Switzerland, South Africa)
Data & Integration Engineer in Bath employer: Healthinnova
Join a forward-thinking healthcare technology company that prioritises employee growth and well-being. As a Data & Integration Engineer, you'll be part of a collaborative team dedicated to enhancing interoperability solutions, with access to technical training and the flexibility of hybrid working. Enjoy competitive benefits including a generous bonus structure, private healthcare options, and opportunities for international travel, all within a supportive and innovative work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Integration Engineer in Bath
✨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 Healthinnova!
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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 Healthinnova.
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We think you need these skills to ace Data & Integration Engineer in Bath
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 Healthinnova, 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 Healthinnova. 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 Healthinnova
✨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 Healthinnova!
✨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.
