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- Tasks: Lead the development of cloud architecture and data pipelines for vital healthcare services.
- Company: BrisDoc, a supportive employee-owned organisation making a real impact in healthcare.
- Benefits: Competitive salary, NHS pension, training opportunities, and hybrid working options.
- Other info: Dynamic role with excellent career growth in a tech-driven healthcare environment.
- Why this job: Join us to innovate and transform healthcare services for over one million patients.
- Qualifications: Strong data engineering experience, proficiency in Python and SQL, and cloud platform knowledge.
The predicted salary is between 65000 - 70000 £ per year.
Working as part of BrisDoc’s Business Transformation team, the Senior Data Engineer will take a lead role in developing and building our cloud architecture, data lake and warehousing, and data pipelines to support the organisation’s service development and improvement. The role offers the opportunity to support innovation and transformation of vital daytime primary care services and out-of-hours urgent care services during an important time of change and development in NHS care, with a shift to more digitised, technological and data-driven services that support the delivery of excellent healthcare services. The role will work across BrisDoc and its clinical, operational and back-office services, clearly and accurately defining business problems and solutions where data plays a crucial role.
Who we’re looking for
We are only interested in candidates who can demonstrate the following essential experience:
- Strong experience in data engineering, including building and maintaining data pipelines and data platforms
- Proficiency in Python and SQL
- Experience working with cloud platforms such as AWS or Azure
- A good understanding of data warehousing, data lakes and data integration approaches
- Strong analytical and problem‑solving skills
- Excellent communication skills, with the ability to work with both technical and non‑technical stakeholders
It would be an advantage if you also have:
- Experience supporting data science or machine learning initiatives
- Experience with BI tools such as Tableau or Power BI
- Familiarity with big data tools such as Spark or Hadoop
- Knowledge of healthcare or NHS services
Recognising your value
- Competitive salary £65,000‑£70,000 dependent upon experience
- Full time 37.5 hours per week
- Primarily office based in Whitchurch, Bristol with option for some hybrid working
- NHS Pension
- Access to training opportunities to support your career growth
- A supportive, employee‑owned organisation where your contributions are valued
- Social impact through a role that directly adds value to over one million patients
We are not able to offer Skilled Worker visa sponsorship for this role. Applicants must have the right to work in the UK at the time of application.
Senior Data Engineer in Bristol employer: BrisDoc Healthcare Services
Contact Detail:
BrisDoc Healthcare Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees at BrisDoc or connect with professionals in the healthcare tech space. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data pipelines, cloud platforms, and any relevant projects. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and SQL skills, and be ready to tackle technical questions or coding challenges. We want to see how you think and solve problems on the spot.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at BrisDoc.
We think you need these skills to ace Senior Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud platforms like AWS or Azure, and any relevant projects that showcase your skills in Python and SQL.
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 your skills can contribute to BrisDoc's mission of improving healthcare services. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled complex data challenges. We love seeing how you approach problems and come up with innovative solutions, especially in a healthcare context.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to make a difference in healthcare!
How to prepare for a job interview at BrisDoc Healthcare Services
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around building and maintaining data pipelines. Be ready to discuss your experience with Python, SQL, and cloud platforms like AWS or Azure. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data problems in the past. Think about times when you defined business problems and provided data-driven solutions. This will demonstrate your analytical skills and ability to communicate effectively with both technical and non-technical stakeholders.
✨Familiarise Yourself with Healthcare Context
Since this role is within the NHS framework, it’s a good idea to understand the basics of healthcare services and how data plays a role in improving them. If you have any experience with healthcare data or systems, be sure to highlight that during your interview.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data architecture, team dynamics, and how they measure success in this role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.