At a Glance
- Tasks: Design and implement ETL pipelines for healthcare data using Python and SQL.
- Company: Join a mission-driven HealthTech company focused on impactful health outcomes.
- Benefits: Enjoy a collaborative culture with opportunities for knowledge sharing and professional growth.
- Other info: Ideal for those passionate about solving complex data engineering challenges in a startup environment.
- Why this job: Tackle diverse technical challenges while enhancing healthcare services through secure data solutions.
- Qualifications: Strong experience with Python, SQL, and Azure for healthcare data management required.
The predicted salary is between 48000 - 84000 £ per year.
We’re partnering with a mission-driven HealthTech company to find a talented Senior Data Engineer .
In this role, you\'ll work on healthcare data pipelines and platforms, with a strong focus on building robust ETL processes and scalable data architectures. You\'ll collaborate closely with cross-functional teams to deliver high-quality, reliable data solutions that support impactful health outcomes. You will develop and maintain our data infrastructure, working with both data processing technologies and storage systems. Your commitment to best practices will be essential as you build secure data pipelines, implement efficient ETL processes following healthcare standards, optimise data workflows for performance, and ensure our data solutions are highly scalable and maintainable.
You\'ll tackle diverse technical challenges across our data stack, emphasizing security-first development and systematic approaches to data architecture. From designing efficient data processing pipelines to implementing robust data governance, this role requires meticulous attention to established processes and standards. You\'ll focus on writing clean, maintainable code while implementing robust security measures for sensitive healthcare data and following our comprehensive development guidelines.
We believe in fostering a collaborative engineering culture where knowledge sharing and process improvement are fundamental. You will actively participate in security reviews, code reviews, technical discussions, and contribute to our documentation efforts. Through structured pair programming sessions, technical workshops, and regular team knowledge sharing, you\'ll help establish and maintain best practices for healthcare data management while expanding your technical expertise. Your role will be crucial in building scalable, secure data solutions that enhance our ability to deliver quality healthcare services.
Key Responsibilities
- Design and implement ETL pipelines for healthcare data using Python, SQL, and cloud-based tools
- Develop and maintain data infrastructure on Azure including data lakes, warehouses, and processing frameworks
- Create robust data transformation processes ensuring data quality, consistency, and security
- Implement orchestration to automate manual workflows such that they are reliable, repeatable, secure and robust
- Collaborate with Data Science and Clinical teams to understand data requirements and deliver actionable insights
- Apply security-first practices in all data processing solutions to protect sensitive patient information
- Contribute to team knowledge through documentation and sharing of data engineering best practices
- Help maintain compliance with ISO27001 and ISO13485 requirements for healthcare data management
- Participate in architectural planning to improve overall data infrastructure and capabilities
Required Experience
- Strong experience with Python, SQL, and ETL processes for healthcare data pipelines
- Proven expertise managing data in Azure, such as Azure Data Factory, Azure Databricks, or Azure Synapse Analytics
- Experience with data lake and data warehouse architectures
- Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments
- Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling
- Knowledge of data governance, data quality, and master data management practices
- Experience implementing monitoring and logging for data pipelines
- Ability to optimise data workflows for performance and scalability
- Understanding of security best practices for sensitive healthcare data
- Good communication skills and ability to collaborate with wide ranging stakeholders
- Enthusiasm for solving complex data engineering challenges
Desired Skills
- Experience in startup environments
- Experience working in a healthcare technology company
- Familiarity with healthcare technology and regulatory requirements (ISO13485, ISO27001)
If you are interested in this position please apply via the below link.
Senior Data Engineer in Chelmsford employer: Hlx Life Sciences
Join a mission-driven HealthTech company that prioritises employee growth and collaboration, offering a dynamic work culture where your contributions directly impact healthcare outcomes. With a strong focus on best practices and security-first development, you'll have the opportunity to enhance your technical expertise while working alongside passionate professionals in a supportive environment. Enjoy the benefits of structured knowledge sharing, technical workshops, and a commitment to maintaining high standards in healthcare data management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Chelmsford
✨Tip Number 1
Familiarise yourself with the specific healthcare data standards mentioned in the job description, such as HL7 and FHIR. Understanding these standards will not only help you during interviews but also demonstrate your commitment to the role and its requirements.
✨Tip Number 2
Showcase your experience with Azure tools like Azure Data Factory and Azure Databricks. Be prepared to discuss specific projects where you've implemented these technologies, as this will highlight your hands-on expertise and make you a more attractive candidate.
✨Tip Number 3
Engage with the HealthTech community by attending relevant meetups or webinars. This can provide you with insights into current trends and challenges in healthcare data engineering, which you can reference during your discussions with us.
✨Tip Number 4
Prepare to discuss your approach to implementing security measures in data pipelines. Given the sensitive nature of healthcare data, demonstrating your understanding of security best practices will be crucial in setting you apart from other candidates.
We think you need these skills to ace Senior Data Engineer in Chelmsford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and ETL processes specifically for healthcare data. Emphasise any relevant projects or roles that demonstrate your ability to manage data in Azure and your understanding of healthcare data standards.
Craft a Compelling Cover Letter:In your cover letter, express your passion for HealthTech and how your skills align with the company's mission. Mention specific experiences where you've implemented security-first practices or optimised data workflows, showcasing your problem-solving abilities.
Showcase Relevant Projects:If you have worked on projects involving data lakes, warehouses, or healthcare data pipelines, include these in your application. Describe your role, the technologies used, and the impact of your work on the overall data infrastructure.
Highlight Collaboration Skills:Since the role involves working closely with cross-functional teams, make sure to mention any past experiences where you collaborated with data scientists or clinical teams. Highlight your communication skills and your ability to contribute to team knowledge sharing.
How to prepare for a job interview at Hlx Life Sciences
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and ETL processes in detail. Highlight specific projects where you've built healthcare data pipelines or worked with Azure tools like Data Factory or Databricks.
✨Understand Healthcare Standards
Familiarise yourself with healthcare data standards such as HL7, FHIR, and SNOMED. Be ready to explain how these standards influence your work and how you ensure compliance in your data solutions.
✨Emphasise Security Practices
Since this role focuses on sensitive healthcare data, be sure to discuss your approach to implementing security measures in data processing. Share examples of how you've protected patient information in previous roles.
✨Demonstrate Collaboration Skills
This position requires working closely with cross-functional teams. Prepare to share experiences where you've collaborated with data scientists or clinical teams to deliver actionable insights, showcasing your communication skills.
