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- Tasks: Lead the design and implementation of scalable data pipelines on Google Cloud Platform.
- Company: Join the NHS in transforming health and care data management.
- Benefits: Enjoy competitive rates based on experience and opportunities for skill growth.
- Why this job: Make a real impact in healthcare while collaborating with talented teams.
- Qualifications: Experience in cloud PaaS, data integration, and strong communication skills required.
- Other info: Mentorship opportunities available to enhance your career development.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a skilled Lead Data Engineer to work on a large scale Data and Analytics Platform which will enable health and care organisations store, access and analyse data effectively and secure. Day to day activities Lead the design and implementation of scalable, reliable data pipelines and data platforms in the Google Cloud Platform. Collaborate with data scientists, analysts, and other engineering teams to define data requirements and optimize data workflows. Oversee the deployment and integration of data systems on the Google Cloud Platform. Ensure the security, compliance, and performance of Google Cloud Platform data solutions. Drive best practices in cloud-based data engineering, automation, and DevOps for data solutions. Mentor and guide Senior Data Engineers, contributing to team skill growth and knowledge sharing. Essential Experience Experience in cloud platform as a service (PaaS). Ability to communicate between technical and non-technical stakeholders, managing expectations and supporting difficult discussions. Ability to support teams to apply a range of techniques for data profiling, undertake source system analysis and bring multiple data sources together. Can establish enterprise-scale data integration procedures across the data development life cycle. Ability to manage resources to ensure that data services work effectively. Can identify areas of innovation in data tools and techniques. Ability to establish and maintain standards, remaining informed of industry best practice. Can understand concepts and principles of data modelling and produce relevant data models. Ability to recognise opportunities for the reuse and alignment of data models. Ability to solve problems with the most appropriate actions providing co-ordination of teams to implement solutions. Can use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts, collaborating with others as appropriate. Have a clear understanding of the technical concepts required for the role and how these fit in the wider technical landscape. Ability to review requirements, define test conditions, identify issues and risks and analyse and report test activities. Experience with Google Cloud Platform for data and analytics. Ability to design an appropriate metadata repository, improve existing repositories, understand a range of tools to manage metadata and advise team members on metadata management. *Rates depend on experience and client requirements TPBN1_UKTJ
Band 7 NHS Lead Data Engineer employer: Salt
Contact Detail:
Salt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Band 7 NHS Lead Data Engineer
✨Tip Number 1
Familiarize yourself with Google Cloud Platform (GCP) and its data services. Since this role heavily involves GCP, having hands-on experience or certifications in GCP can significantly boost your chances.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with GCP. Engaging in relevant online communities or attending industry meetups can provide insights and connections that may lead to job opportunities.
✨Tip Number 3
Showcase your ability to communicate effectively with both technical and non-technical stakeholders. Prepare examples from your past experiences where you successfully managed expectations and facilitated discussions.
✨Tip Number 4
Stay updated on the latest trends and best practices in cloud-based data engineering. Being knowledgeable about innovations in data tools and techniques will demonstrate your commitment to continuous learning and improvement.
We think you need these skills to ace Band 7 NHS Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Data Engineer position. Understand the key responsibilities and required skills, especially those related to Google Cloud Platform and data engineering best practices.
Tailor Your CV: Customize your CV to highlight relevant experience in cloud platforms, data integration, and collaboration with technical and non-technical stakeholders. Use specific examples that demonstrate your ability to lead data projects and mentor team members.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the healthcare sector. Mention how your skills align with the company's goals and how you can contribute to their data and analytics platform.
Highlight Relevant Projects: In your application, include specific projects or experiences where you successfully implemented scalable data solutions or worked with Google Cloud Platform. This will help illustrate your expertise and problem-solving abilities in real-world scenarios.
How to prepare for a job interview at Salt
✨Showcase Your Cloud Expertise
Make sure to highlight your experience with Google Cloud Platform during the interview. Be prepared to discuss specific projects where you've designed and implemented data pipelines, as well as any challenges you faced and how you overcame them.
✨Communicate Clearly
Since the role requires interaction with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between different teams and manage expectations effectively.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've identified and solved problems in previous roles. Focus on your approach to coordinating teams and implementing solutions, as this is crucial for the Lead Data Engineer position.
✨Emphasize Mentorship Experience
As a Lead Data Engineer, you'll be expected to mentor others. Share your experiences in guiding junior engineers or collaborating with peers to enhance team skills. This will show your leadership potential and commitment to knowledge sharing.
